From 071b1f1515b995e67481fc99d181eb99f777d799 Mon Sep 17 00:00:00 2001 From: phaichayon Date: Fri, 10 Apr 2026 13:26:28 +0700 Subject: [PATCH 1/7] setup --- .gitignore | 163 +- AGENTS.md | 5 + CLAUDE.md | 1 + README.md | 36 +- eslint.config.mjs | 18 + next.config.ts | 8 + package-lock.json | 6582 +++++++++++++++++++++++++++++++++++++++++++ package.json | 27 + postcss.config.mjs | 7 + public/file.svg | 1 + public/globe.svg | 1 + public/next.svg | 1 + public/vercel.svg | 1 + public/window.svg | 1 + src/app/favicon.ico | Bin 0 -> 25931 bytes src/app/globals.css | 26 + src/app/layout.tsx | 33 + src/app/page.tsx | 65 + tsconfig.json | 34 + 19 files changed, 6879 insertions(+), 131 deletions(-) create mode 100644 AGENTS.md create mode 100644 CLAUDE.md create mode 100644 eslint.config.mjs create mode 100644 next.config.ts create mode 100644 package-lock.json create mode 100644 package.json create mode 100644 postcss.config.mjs create mode 100644 public/file.svg create mode 100644 public/globe.svg create mode 100644 public/next.svg create mode 100644 public/vercel.svg create mode 100644 public/window.svg create mode 100644 src/app/favicon.ico create mode 100644 src/app/globals.css create mode 100644 src/app/layout.tsx create mode 100644 src/app/page.tsx create mode 100644 tsconfig.json diff --git a/.gitignore b/.gitignore index 2309cc8..5ef6a52 100644 --- a/.gitignore +++ b/.gitignore @@ -1,138 +1,41 @@ -# ---> Node -# Logs -logs -*.log +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.* +.yarn/* +!.yarn/patches +!.yarn/plugins +!.yarn/releases +!.yarn/versions + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug npm-debug.log* yarn-debug.log* yarn-error.log* -lerna-debug.log* .pnpm-debug.log* -# Diagnostic reports (https://nodejs.org/api/report.html) -report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json +# env files (can opt-in for committing if needed) +.env* -# Runtime data -pids -*.pid -*.seed -*.pid.lock +# vercel +.vercel -# Directory for instrumented libs generated by jscoverage/JSCover -lib-cov - -# Coverage directory used by tools like istanbul -coverage -*.lcov - -# nyc test coverage -.nyc_output - -# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files) -.grunt - -# Bower dependency directory (https://bower.io/) -bower_components - -# node-waf configuration -.lock-wscript - -# Compiled binary addons (https://nodejs.org/api/addons.html) -build/Release - -# Dependency directories -node_modules/ -jspm_packages/ - -# Snowpack dependency directory (https://snowpack.dev/) -web_modules/ - -# TypeScript cache +# typescript *.tsbuildinfo - -# Optional npm cache directory -.npm - -# Optional eslint cache -.eslintcache - -# Optional stylelint cache -.stylelintcache - -# Microbundle cache -.rpt2_cache/ -.rts2_cache_cjs/ -.rts2_cache_es/ -.rts2_cache_umd/ - -# Optional REPL history -.node_repl_history - -# Output of 'npm pack' -*.tgz - -# Yarn Integrity file -.yarn-integrity - -# dotenv environment variable files -.env -.env.development.local -.env.test.local -.env.production.local -.env.local - -# parcel-bundler cache (https://parceljs.org/) -.cache -.parcel-cache - -# Next.js build output -.next -out - -# Nuxt.js build / generate output -.nuxt -dist - -# Gatsby files -.cache/ -# Comment in the public line in if your project uses Gatsby and not Next.js -# https://nextjs.org/blog/next-9-1#public-directory-support -# public - -# vuepress build output -.vuepress/dist - -# vuepress v2.x temp and cache directory -.temp -.cache - -# vitepress build output -**/.vitepress/dist - -# vitepress cache directory -**/.vitepress/cache - -# Docusaurus cache and generated files -.docusaurus - -# Serverless directories -.serverless/ - -# FuseBox cache -.fusebox/ - -# DynamoDB Local files -.dynamodb/ - -# TernJS port file -.tern-port - -# Stores VSCode versions used for testing VSCode extensions -.vscode-test - -# yarn v2 -.yarn/cache -.yarn/unplugged -.yarn/build-state.yml -.yarn/install-state.gz -.pnp.* - +next-env.d.ts diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..8bd0e39 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,5 @@ + +# This is NOT the Next.js you know + +This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in `node_modules/next/dist/docs/` before writing any code. Heed deprecation notices. + diff --git a/CLAUDE.md b/CLAUDE.md new file mode 100644 index 0000000..43c994c --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1 @@ +@AGENTS.md diff --git a/README.md b/README.md index 5e340aa..e215bc4 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,36 @@ -# nextjs-elysia-allaos +This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). +## Getting Started + +First, run the development server: + +```bash +npm run dev +# or +yarn dev +# or +pnpm dev +# or +bun dev +``` + +Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. + +You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. + +This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. + +## Learn More + +To learn more about Next.js, take a look at the following resources: + +- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. +- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. + +You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! + +## Deploy on Vercel + +The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. + +Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. diff --git a/eslint.config.mjs b/eslint.config.mjs new file mode 100644 index 0000000..05e726d --- /dev/null +++ b/eslint.config.mjs @@ -0,0 +1,18 @@ +import { defineConfig, globalIgnores } from "eslint/config"; +import nextVitals from "eslint-config-next/core-web-vitals"; +import nextTs from "eslint-config-next/typescript"; + +const eslintConfig = defineConfig([ + ...nextVitals, + ...nextTs, + // Override default ignores of eslint-config-next. + globalIgnores([ + // Default ignores of eslint-config-next: + ".next/**", + "out/**", + "build/**", + "next-env.d.ts", + ]), +]); + +export default eslintConfig; diff --git a/next.config.ts b/next.config.ts new file mode 100644 index 0000000..66e1566 --- /dev/null +++ b/next.config.ts @@ -0,0 +1,8 @@ +import type { NextConfig } from "next"; + +const nextConfig: NextConfig = { + /* config options here */ + reactCompiler: true, +}; + +export default 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--background: #ffffff; + --foreground: #171717; +} + +@theme inline { + --color-background: var(--background); + --color-foreground: var(--foreground); + --font-sans: var(--font-geist-sans); + --font-mono: var(--font-geist-mono); +} + +@media (prefers-color-scheme: dark) { + :root { + --background: #0a0a0a; + --foreground: #ededed; + } +} + +body { + background: var(--background); + color: var(--foreground); + font-family: Arial, Helvetica, sans-serif; +} diff --git a/src/app/layout.tsx b/src/app/layout.tsx new file mode 100644 index 0000000..976eb90 --- /dev/null +++ b/src/app/layout.tsx @@ -0,0 +1,33 @@ +import type { Metadata } from "next"; +import { Geist, Geist_Mono } from "next/font/google"; +import "./globals.css"; + +const geistSans = Geist({ + variable: "--font-geist-sans", + subsets: ["latin"], +}); + +const geistMono = Geist_Mono({ + variable: "--font-geist-mono", + subsets: ["latin"], +}); + +export const metadata: Metadata = { + title: "Create Next App", + description: "Generated by create next app", +}; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + {children} + + ); +} diff --git a/src/app/page.tsx b/src/app/page.tsx new file mode 100644 index 0000000..3f36f7c --- /dev/null +++ b/src/app/page.tsx @@ -0,0 +1,65 @@ +import Image from "next/image"; + +export default function Home() { + return ( +
+
+ Next.js logo +
+

+ To get started, edit the page.tsx file. +

+

+ Looking for a starting point or more instructions? Head over to{" "} + + Templates + {" "} + or the{" "} + + Learning + {" "} + center. +

+
+ +
+
+ ); +} diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..cf9c65d --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,34 @@ +{ + "compilerOptions": { + "target": "ES2017", + "lib": ["dom", "dom.iterable", "esnext"], + "allowJs": true, + "skipLibCheck": true, + "strict": true, + "noEmit": true, + "esModuleInterop": true, + "module": "esnext", + "moduleResolution": "bundler", + "resolveJsonModule": true, + "isolatedModules": true, + "jsx": "react-jsx", + "incremental": true, + "plugins": [ + { + "name": "next" + } + ], + "paths": { + "@/*": ["./src/*"] + } + }, + "include": [ + "next-env.d.ts", + "**/*.ts", + "**/*.tsx", + ".next/types/**/*.ts", + ".next/dev/types/**/*.ts", + "**/*.mts" + ], + "exclude": ["node_modules"] +} -- 2.49.1 From 1e8d6a9b19b188d374d2daa26a3cc18322cdafed Mon Sep 17 00:00:00 2001 From: phaichayon Date: Fri, 10 Apr 2026 16:50:03 +0700 Subject: [PATCH 2/7] feat: initial commit --- .agents/skills/find-skills/SKILL.md | 143 + .agents/skills/frontend-design/LICENSE.txt | 177 + .agents/skills/frontend-design/SKILL.md | 45 + .../skills/kiranism-shadcn-dashboard/SKILL.md | 615 ++ .../references/charts-guide.md | 420 ++ .../references/forms-guide.md | 304 + .../references/mock-api-guide.md | 255 + .../references/query-abstractions.md | 153 + .../references/theming-guide.md | 180 + .agents/skills/next-best-practices/SKILL.md | 171 + .../next-best-practices/async-patterns.md | 84 + .../skills/next-best-practices/bundling.md | 182 + .../next-best-practices/data-patterns.md | 300 + .../next-best-practices/debug-tricks.md | 122 + .../skills/next-best-practices/directives.md | 74 + .../next-best-practices/error-handling.md | 228 + .../next-best-practices/file-conventions.md | 141 + .agents/skills/next-best-practices/font.md | 246 + .../skills/next-best-practices/functions.md | 108 + .../next-best-practices/hydration-error.md | 86 + .agents/skills/next-best-practices/image.md | 173 + 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b/.agents/skills/find-skills/SKILL.md @@ -0,0 +1,143 @@ +--- +name: find-skills +description: Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill. +--- + +# Find Skills + +This skill helps you discover and install skills from the open agent skills ecosystem. + +## When to Use This Skill + +Use this skill when the user: + +- Asks "how do I do X" where X might be a common task with an existing skill +- Says "find a skill for X" or "is there a skill for X" +- Asks "can you do X" where X is a specialized capability +- Expresses interest in extending agent capabilities +- Wants to search for tools, templates, or workflows +- Mentions they wish they had help with a specific domain (design, testing, deployment, etc.) + +## What is the Skills CLI? + +The Skills CLI (`npx skills`) is the package manager for the open agent skills ecosystem. Skills are modular packages that extend agent capabilities with specialized knowledge, workflows, and tools. + +**Key commands:** + +- `npx skills find [query]` - Search for skills interactively or by keyword +- `npx skills add ` - Install a skill from GitHub or other sources +- `npx skills check` - Check for skill updates +- `npx skills update` - Update all installed skills + +**Browse skills at:** https://skills.sh/ + +## How to Help Users Find Skills + +### Step 1: Understand What They Need + +When a user asks for help with something, identify: + +1. The domain (e.g., React, testing, design, deployment) +2. The specific task (e.g., writing tests, creating animations, reviewing PRs) +3. Whether this is a common enough task that a skill likely exists + +### Step 2: Check the Leaderboard First + +Before running a CLI search, check the [skills.sh leaderboard](https://skills.sh/) to see if a well-known skill already exists for the domain. The leaderboard ranks skills by total installs, surfacing the most popular and battle-tested options. + +For example, top skills for web development include: + +- `vercel-labs/agent-skills` — React, Next.js, web design (100K+ installs each) +- `anthropics/skills` — Frontend design, document processing (100K+ installs) + +### Step 3: Search for Skills + +If the leaderboard doesn't cover the user's need, run the find command: + +```bash +npx skills find [query] +``` + +For example: + +- User asks "how do I make my React app faster?" → `npx skills find react performance` +- User asks "can you help me with PR reviews?" → `npx skills find pr review` +- User asks "I need to create a changelog" → `npx skills find changelog` + +### Step 4: Verify Quality Before Recommending + +**Do not recommend a skill based solely on search results.** Always verify: + +1. **Install count** — Prefer skills with 1K+ installs. Be cautious with anything under 100. +2. **Source reputation** — Official sources (`vercel-labs`, `anthropics`, `microsoft`) are more trustworthy than unknown authors. +3. **GitHub stars** — Check the source repository. A skill from a repo with <100 stars should be treated with skepticism. + +### Step 5: Present Options to the User + +When you find relevant skills, present them to the user with: + +1. The skill name and what it does +2. The install count and source +3. The install command they can run +4. A link to learn more at skills.sh + +Example response: + +``` +I found a skill that might help! The "react-best-practices" skill provides +React and Next.js performance optimization guidelines from Vercel Engineering. +(185K installs) + +To install it: +npx skills add vercel-labs/agent-skills@react-best-practices + +Learn more: https://skills.sh/vercel-labs/agent-skills/react-best-practices +``` + +### Step 6: Offer to Install + +If the user wants to proceed, you can install the skill for them: + +```bash +npx skills add -g -y +``` + +The `-g` flag installs globally (user-level) and `-y` skips confirmation prompts. + +## Common Skill Categories + +When searching, consider these common categories: + +| Category | Example Queries | +| --------------- | ---------------------------------------- | +| Web Development | react, nextjs, typescript, css, tailwind | +| Testing | testing, jest, playwright, e2e | +| DevOps | deploy, docker, kubernetes, ci-cd | +| Documentation | docs, readme, changelog, api-docs | +| Code Quality | review, lint, refactor, best-practices | +| Design | ui, ux, design-system, accessibility | +| Productivity | workflow, automation, git | + +## Tips for Effective Searches + +1. **Use specific keywords**: "react testing" is better than just "testing" +2. **Try alternative terms**: If "deploy" doesn't work, try "deployment" or "ci-cd" +3. **Check popular sources**: Many skills come from `vercel-labs/agent-skills` or `ComposioHQ/awesome-claude-skills` + +## When No Skills Are Found + +If no relevant skills exist: + +1. Acknowledge that no existing skill was found +2. Offer to help with the task directly using your general capabilities +3. Suggest the user could create their own skill with `npx skills init` + +Example: + +``` +I searched for skills related to "xyz" but didn't find any matches. +I can still help you with this task directly! Would you like me to proceed? + +If this is something you do often, you could create your own skill: +npx skills init my-xyz-skill +``` diff --git a/.agents/skills/frontend-design/LICENSE.txt b/.agents/skills/frontend-design/LICENSE.txt new file mode 100644 index 0000000..f433b1a --- /dev/null +++ b/.agents/skills/frontend-design/LICENSE.txt @@ -0,0 +1,177 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS diff --git a/.agents/skills/frontend-design/SKILL.md b/.agents/skills/frontend-design/SKILL.md new file mode 100644 index 0000000..f709fde --- /dev/null +++ b/.agents/skills/frontend-design/SKILL.md @@ -0,0 +1,45 @@ +--- +name: frontend-design +description: Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics. +license: Complete terms in LICENSE.txt +--- + +This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices. + +The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints. + +## Design Thinking + +Before coding, understand the context and commit to a BOLD aesthetic direction: + +- **Purpose**: What problem does this interface solve? Who uses it? +- **Tone**: Pick an extreme: brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian, etc. There are so many flavors to choose from. Use these for inspiration but design one that is true to the aesthetic direction. +- **Constraints**: Technical requirements (framework, performance, accessibility). +- **Differentiation**: What makes this UNFORGETTABLE? What's the one thing someone will remember? + +**CRITICAL**: Choose a clear conceptual direction and execute it with precision. Bold maximalism and refined minimalism both work - the key is intentionality, not intensity. + +Then implement working code (HTML/CSS/JS, React, Vue, etc.) that is: + +- Production-grade and functional +- Visually striking and memorable +- Cohesive with a clear aesthetic point-of-view +- Meticulously refined in every detail + +## Frontend Aesthetics Guidelines + +Focus on: + +- **Typography**: Choose fonts that are beautiful, unique, and interesting. Avoid generic fonts like Arial and Inter; opt instead for distinctive choices that elevate the frontend's aesthetics; unexpected, characterful font choices. Pair a distinctive display font with a refined body font. +- **Color & Theme**: Commit to a cohesive aesthetic. Use CSS variables for consistency. Dominant colors with sharp accents outperform timid, evenly-distributed palettes. +- **Motion**: Use animations for effects and micro-interactions. Prioritize CSS-only solutions for HTML. Use Motion library for React when available. Focus on high-impact moments: one well-orchestrated page load with staggered reveals (animation-delay) creates more delight than scattered micro-interactions. Use scroll-triggering and hover states that surprise. +- **Spatial Composition**: Unexpected layouts. Asymmetry. Overlap. Diagonal flow. Grid-breaking elements. Generous negative space OR controlled density. +- **Backgrounds & Visual Details**: Create atmosphere and depth rather than defaulting to solid colors. Add contextual effects and textures that match the overall aesthetic. Apply creative forms like gradient meshes, noise textures, geometric patterns, layered transparencies, dramatic shadows, decorative borders, custom cursors, and grain overlays. + +NEVER use generic AI-generated aesthetics like overused font families (Inter, Roboto, Arial, system fonts), cliched color schemes (particularly purple gradients on white backgrounds), predictable layouts and component patterns, and cookie-cutter design that lacks context-specific character. + +Interpret creatively and make unexpected choices that feel genuinely designed for the context. No design should be the same. Vary between light and dark themes, different fonts, different aesthetics. NEVER converge on common choices (Space Grotesk, for example) across generations. + +**IMPORTANT**: Match implementation complexity to the aesthetic vision. Maximalist designs need elaborate code with extensive animations and effects. Minimalist or refined designs need restraint, precision, and careful attention to spacing, typography, and subtle details. Elegance comes from executing the vision well. + +Remember: Claude is capable of extraordinary creative work. Don't hold back, show what can truly be created when thinking outside the box and committing fully to a distinctive vision. diff --git a/.agents/skills/kiranism-shadcn-dashboard/SKILL.md b/.agents/skills/kiranism-shadcn-dashboard/SKILL.md new file mode 100644 index 0000000..c578cc2 --- /dev/null +++ b/.agents/skills/kiranism-shadcn-dashboard/SKILL.md @@ -0,0 +1,615 @@ +--- +name: kiranism-shadcn-dashboard +description: | + Guide for building features, pages, tables, forms, themes, and navigation in this Next.js 16 shadcn dashboard template. Use this skill whenever the user wants to add a new page, create a feature module, build a data table, add a form, configure navigation items, add a theme, set up RBAC access control, or work with the dashboard's patterns and conventions. Also triggers when adding routes under /dashboard, working with Clerk auth/orgs/billing, creating mock APIs, or modifying the sidebar. Even if the user doesn't mention "dashboard" explicitly — if they're adding UI, pages, or features to this project, use this skill. +--- + +# Dashboard Development Guide + +This skill encodes the exact patterns and conventions used in this Next.js 16 + shadcn/ui admin dashboard template. + +## Quick Reference: What Goes Where + +| Task | Location | +| --------------------- | --------------------------------------- | +| New page | `src/app/dashboard//page.tsx` | +| New feature module | `src/features//` | +| Feature components | `src/features//components/` | +| API types | `src/features//api/types.ts` | +| Service layer | `src/features//api/service.ts` | +| Query options | `src/features//api/queries.ts` | +| Mutation options | `src/features//api/mutations.ts` | +| Zod schemas | `src/features//schemas/.ts` | +| Filter/select options | `src/features//constants/` | +| Nav config | `src/config/nav-config.ts` | +| Types | `src/types/index.ts` | +| Mock data | `src/constants/mock-api-.ts` | +| Search params | `src/lib/searchparams.ts` | +| Query client | `src/lib/query-client.ts` | +| Theme CSS | `src/styles/themes/.css` | +| Theme registry | `src/components/themes/theme.config.ts` | +| Custom hook | `src/hooks/` | +| Icons registry | `src/components/icons.tsx` | + +--- + +## Adding a New Feature (End-to-End) + +When a user asks to add a feature (e.g., "add an orders page"), follow these steps in order. Each step below shows the minimal pattern — see reference files for full templates. + +### Step 1: Mock API (`src/constants/mock-api-.ts`) + +See [references/mock-api-guide.md](references/mock-api-guide.md) for the complete template. Key structure: + +```tsx +import { faker } from '@faker-js/faker'; +import { matchSorter } from 'match-sorter'; +import { delay } from './mock-api'; + +export type Order = { + id: number; + customer: string; + status: string; + total: number; + created_at: string; + updated_at: string; +}; + +export const fakeOrders = { + records: [] as Order[], + initialize() { + /* generate with faker */ + }, + async getOrders({ page, limit, search, sort }) { + /* filter, sort, paginate, return { items, total_items } */ + }, + async getOrderById(id: number) { + /* find by id */ + }, + async createOrder(data) { + /* push to records */ + }, + async updateOrder(id, data) { + /* merge into record */ + }, + async deleteOrder(id) { + /* filter out */ + } +}; +fakeOrders.initialize(); +``` + +Every method should call `await delay(800)` to simulate network latency. Use `matchSorter` for search. Return `{ items, total_items }` from list methods. + +### Step 2: API Layer (`src/features//api/`) + +Each feature has 4 API files: **types** → **service** → **queries** → **mutations**. + +**Types** (`api/types.ts`) — re-export the entity type from mock API, plus filter/response/payload types: + +```tsx +export type { Order } from '@/constants/mock-api-orders'; +export type OrderFilters = { page?: number; limit?: number; search?: string; sort?: string }; +export type OrdersResponse = { items: Order[]; total_items: number }; +export type OrderMutationPayload = { customer: string; status: string; total: number }; +``` + +**Service** (`api/service.ts`) — data access layer. One exported function per operation: + +```tsx +import { fakeOrders } from '@/constants/mock-api-orders'; +import type { OrderFilters, OrdersResponse, OrderMutationPayload } from './types'; + +export async function getOrders(filters: OrderFilters): Promise { + return fakeOrders.getOrders(filters); +} +export async function getOrderById(id: number) { + return fakeOrders.getOrderById(id); +} +export async function createOrder(data: OrderMutationPayload) { + return fakeOrders.createOrder(data); +} +export async function updateOrder(id: number, data: OrderMutationPayload) { + return fakeOrders.updateOrder(id, data); +} +export async function deleteOrder(id: number) { + return fakeOrders.deleteOrder(id); +} +``` + +**Queries** (`api/queries.ts`) — query key factory + query options: + +```tsx +import { queryOptions } from '@tanstack/react-query'; +import { getOrders, getOrderById } from './service'; +import type { Order, OrderFilters } from './types'; + +export type { Order }; + +export const orderKeys = { + all: ['orders'] as const, + list: (filters: OrderFilters) => [...orderKeys.all, 'list', filters] as const, + detail: (id: number) => [...orderKeys.all, 'detail', id] as const +}; + +export const ordersQueryOptions = (filters: OrderFilters) => + queryOptions({ + queryKey: orderKeys.list(filters), + queryFn: () => getOrders(filters) + }); + +export const orderByIdOptions = (id: number) => + queryOptions({ + queryKey: orderKeys.detail(id), + queryFn: () => getOrderById(id) + }); +``` + +**Mutations** (`api/mutations.ts`) — use `mutationOptions` + `getQueryClient()` (not custom hooks with `useQueryClient()`): + +```tsx +import { mutationOptions } from '@tanstack/react-query'; +import { getQueryClient } from '@/lib/query-client'; +import { createOrder, updateOrder, deleteOrder } from './service'; +import { orderKeys } from './queries'; +import type { OrderMutationPayload } from './types'; + +export const createOrderMutation = mutationOptions({ + mutationFn: (data: OrderMutationPayload) => createOrder(data), + onSuccess: () => { + getQueryClient().invalidateQueries({ queryKey: orderKeys.all }); + } +}); + +export const updateOrderMutation = mutationOptions({ + mutationFn: ({ id, values }: { id: number; values: OrderMutationPayload }) => + updateOrder(id, values), + onSuccess: () => { + getQueryClient().invalidateQueries({ queryKey: orderKeys.all }); + } +}); + +export const deleteOrderMutation = mutationOptions({ + mutationFn: (id: number) => deleteOrder(id), + onSuccess: () => { + getQueryClient().invalidateQueries({ queryKey: orderKeys.all }); + } +}); +``` + +`mutationOptions` is the right abstraction because it works outside React (event handlers, tests, utilities), composes via spread at the call site, and uses `getQueryClient()` which handles both SSR (fresh per request) and client (singleton) correctly. See [references/query-abstractions.md](references/query-abstractions.md) for the full rationale. + +### Step 3: Zod Schema (`src/features//schemas/.ts`) + +```tsx +import { z } from 'zod'; + +export const orderSchema = z.object({ + customer: z.string().min(2, 'Customer name must be at least 2 characters'), + status: z.string().min(1, 'Please select a status'), + total: z.number({ message: 'Total is required' }) +}); + +export type OrderFormValues = z.infer; +``` + +### Step 4: Feature Components + +Create `src/features//components/` with: + +**Listing page** (server component — `-listing.tsx`): + +```tsx +import { HydrationBoundary, dehydrate } from '@tanstack/react-query'; +import { getQueryClient } from '@/lib/query-client'; +import { searchParamsCache } from '@/lib/searchparams'; +import { ordersQueryOptions } from '../api/queries'; +import { OrderTable, OrderTableSkeleton } from './orders-table'; +import { Suspense } from 'react'; + +export default function OrderListingPage() { + const page = searchParamsCache.get('page'); + const search = searchParamsCache.get('name'); + const pageLimit = searchParamsCache.get('perPage'); + const sort = searchParamsCache.get('sort'); + + const filters = { + page, + limit: pageLimit, + ...(search && { search }), + ...(sort && { sort }) + }; + + const queryClient = getQueryClient(); + void queryClient.prefetchQuery(ordersQueryOptions(filters)); + + return ( + + }> + + + + ); +} +``` + +**Table + skeleton** (client component — `orders-table/index.tsx`): + +```tsx +'use client'; +import { useSuspenseQuery } from '@tanstack/react-query'; +import { parseAsInteger, parseAsString, useQueryStates } from 'nuqs'; +import { getSortingStateParser } from '@/lib/parsers'; +import { useDataTable } from '@/hooks/use-data-table'; +import { DataTable } from '@/components/ui/table/data-table'; +import { DataTableToolbar } from '@/components/ui/table/data-table-toolbar'; +import { Skeleton } from '@/components/ui/skeleton'; +import { ordersQueryOptions } from '../../api/queries'; +import { columns } from './columns'; + +const columnIds = columns.map((c) => c.id).filter(Boolean) as string[]; + +export function OrderTable() { + const [params] = useQueryStates({ + page: parseAsInteger.withDefault(1), + perPage: parseAsInteger.withDefault(10), + name: parseAsString, + sort: getSortingStateParser(columnIds).withDefault([]) + }); + + const filters = { + page: params.page, + limit: params.perPage, + ...(params.name && { search: params.name }), + ...(params.sort.length > 0 && { sort: JSON.stringify(params.sort) }) + }; + + const { data } = useSuspenseQuery(ordersQueryOptions(filters)); + + const { table } = useDataTable({ + data: data.items, + columns, + pageCount: Math.ceil(data.total_items / params.perPage), + shallow: true, + debounceMs: 500, + initialState: { columnPinning: { right: ['actions'] } } + }); + + return ( + + + + ); +} + +export function OrderTableSkeleton() { + return ( +
+ + +
+ ); +} +``` + +**Column definitions** (`orders-table/columns.tsx`): + +Each column needs `id`, `accessorKey` (or `accessorFn`), `header` with `DataTableColumnHeader`, and optionally `meta` for filtering + `enableColumnFilter: true`. + +```tsx +export const columns: ColumnDef[] = [ + { + id: 'customer', + accessorKey: 'customer', + header: ({ column }) => , + meta: { label: 'Customer', placeholder: 'Search...', variant: 'text', icon: Icons.text }, + enableColumnFilter: true + }, + { + id: 'status', + accessorKey: 'status', + header: ({ column }) => , + cell: ({ cell }) => ( + + {cell.getValue()} + + ), + enableColumnFilter: true, + meta: { label: 'Status', variant: 'multiSelect', options: STATUS_OPTIONS } + }, + { id: 'actions', cell: ({ row }) => } +]; +``` + +Filter `meta.variant` options: `text`, `number`, `range`, `date`, `dateRange`, `select`, `multiSelect`, `boolean`. For multiSelect, provide `options: { value, label, icon? }[]`. + +**Cell actions** (`orders-table/cell-action.tsx`): + +Pattern: `DropdownMenu` with edit/delete items + `AlertModal` for delete confirmation + `useMutation` for the delete API call. + +```tsx +import { deleteOrderMutation } from '../../api/mutations'; + +export const CellAction: React.FC<{ data: Order }> = ({ data }) => { + const [deleteOpen, setDeleteOpen] = useState(false); + const deleteMutation = useMutation({ + ...deleteOrderMutation, + onSuccess: () => { + toast.success('Deleted'); + setDeleteOpen(false); + } + }); + return ( + <> + setDeleteOpen(false)} + onConfirm={() => deleteMutation.mutate(data.id)} + loading={deleteMutation.isPending} + /> + + + + + + Actions + router.push(`/dashboard/orders/${data.id}`)}> + Edit + + setDeleteOpen(true)}> + Delete + + + + + ); +}; +``` + +For **sheet-based editing** (like Users), replace `router.push` with opening a `` — see the Forms section below. + +### Step 5: Page Route (`src/app/dashboard//page.tsx`) + +```tsx +import PageContainer from '@/components/layout/page-container'; +import OrderListingPage from '@/features/orders/components/order-listing'; +import { searchParamsCache } from '@/lib/searchparams'; +import type { SearchParams } from 'nuqs/server'; + +export const metadata = { title: 'Dashboard: Orders' }; +type PageProps = { searchParams: Promise }; + +export default async function Page(props: PageProps) { + const searchParams = await props.searchParams; + searchParamsCache.parse(searchParams); + + return ( + + + + ); +} +``` + +**PageContainer props**: `scrollable`, `pageTitle`, `pageDescription`, `pageHeaderAction` (React node for the top-right button), `infoContent` (help sidebar), `access` + `accessFallback` (RBAC gating). + +**Detail/Edit page** (`src/app/dashboard//[id]/page.tsx`): + +```tsx +import PageContainer from '@/components/layout/page-container'; +import OrderViewPage from '@/features/orders/components/order-view-page'; + +export const metadata = { title: 'Dashboard: Order Details' }; +type PageProps = { params: Promise<{ id: string }> }; + +export default async function Page(props: PageProps) { + const { id } = await props.params; + return ( + + + + ); +} +``` + +**View page component** (client — handles new vs edit): + +```tsx +'use client'; +import { useSuspenseQuery } from '@tanstack/react-query'; +import { notFound } from 'next/navigation'; +import { orderByIdOptions } from '../api/queries'; +import OrderForm from './order-form'; + +export default function OrderViewPage({ orderId }: { orderId: string }) { + if (orderId === 'new') return ; + const { data } = useSuspenseQuery(orderByIdOptions(Number(orderId))); + if (!data) notFound(); + return ; +} +``` + +### Step 6: Search Params (`src/lib/searchparams.ts`) + +Add any new filter keys. Existing params: `page`, `perPage`, `name`, `gender`, `category`, `role`, `sort`. + +### Step 7: Navigation (`src/config/nav-config.ts`) + +```tsx +{ title: 'Orders', url: '/dashboard/orders', icon: 'product', items: [] } +``` + +### Step 8: Icons (`src/components/icons.tsx`) + +To register a new icon, import from `@tabler/icons-react` and add to the `Icons` object: + +```tsx +import { IconShoppingCart } from '@tabler/icons-react'; +export const Icons = { /* ...existing */ cart: IconShoppingCart }; +``` + +Never import `@tabler/icons-react` anywhere else. Always use `Icons.keyName`. + +**Existing icon keys** (partial): `dashboard`, `product`, `kanban`, `chat`, `forms`, `user`, `teams`, `billing`, `settings`, `add`, `edit`, `trash`, `search`, `check`, `close`, `clock`, `ellipsis`, `text`, `calendar`, `upload`, `spinner`, `chevronDown/Left/Right/Up`, `sun`, `moon`, `palette`, `pro`, `workspace`, `notification`. + +--- + +## Forms + +Forms use **TanStack Form + Zod** with `useAppForm` + `useFormFields()` and `useMutation` for submission. See [references/forms-guide.md](references/forms-guide.md) for all field types, validation strategies, multi-step forms, and advanced patterns. + +### Page Form (Create/Edit on a dedicated route) + +The full pattern is shown in Steps 1-4 above. The key structure: + +1. **Schema** — Zod schema + inferred type in `schemas/.ts` +2. **Form component** — `useAppForm({ defaultValues, validators: { onSubmit: schema }, onSubmit })` + `useFormFields()` for typed fields +3. **Mutations** — `useMutation({ ...createOrderMutation, onSuccess: () => { toast(); router.push() } })`, spread shared mutation options from `api/mutations.ts` and layer on UI callbacks +4. **View page** — client component that checks `id === 'new'` for create vs `useSuspenseQuery(byIdOptions)` for edit + +### Sheet Form (Inline create/edit in a side panel) + +For features where a separate page is overkill (like Users). The sheet manages open state; the form uses a `form` attribute to connect to the sheet footer's submit button. + +```tsx +'use client'; +import { Sheet, SheetContent, SheetFooter, SheetHeader, SheetTitle } from '@/components/ui/sheet'; + +export function OrderFormSheet({ + order, + open, + onOpenChange +}: { + order?: Order; + open: boolean; + onOpenChange: (open: boolean) => void; +}) { + const isEdit = !!order; + const mutation = useMutation({ + ...(isEdit ? updateOrderMutation : createOrderMutation), + onSuccess: () => { + onOpenChange(false); + } + }); + const form = useAppForm({ + defaultValues: { customer: order?.customer ?? '' /* ... */ } as OrderFormValues, + validators: { onSubmit: orderSchema }, + onSubmit: async ({ value }) => { + await mutation.mutateAsync(value); + } + }); + const { FormTextField, FormSelectField } = useFormFields(); + + return ( + + + + {isEdit ? 'Edit' : 'New'} Order + +
+ + + + + + +
+ + + + + + + ); +} +``` + +For cell actions, add `const [editOpen, setEditOpen] = useState(false)` and render `` with a ` setEditOpen(true)}>`. For the page header "Add" button, create a trigger component that manages `open` state and renders the sheet. + +**Available field components** from `useFormFields()`: `FormTextField`, `FormTextareaField`, `FormSelectField`, `FormCheckboxField`, `FormSwitchField`, `FormRadioGroupField`, `FormSliderField`, `FormFileUploadField`. + +--- + +## Data Fetching with React Query + +The pattern is: server prefetch → HydrationBoundary → client useSuspenseQuery. + +1. **Server**: `void queryClient.prefetchQuery(options)` — fire-and-forget during SSR streaming +2. **Client**: `useSuspenseQuery(options)` — picks up dehydrated data, suspends until resolved +3. **HydrationBoundary + dehydrate**: bridges server cache → client cache +4. **Suspense fallback**: skeleton shown while data streams + +**Why `useSuspenseQuery` not `useQuery`:** `useQuery` doesn't integrate with Suspense — it shows loading even when data is prefetched. `useSuspenseQuery` picks up the dehydrated pending query. Once cached (within `staleTime: 60s`), subsequent visits are instant. + +**Mutations** use `mutationOptions` + `getQueryClient()` in `mutations.ts`, composed via spread at the call site: + +```tsx +// In mutations.ts — shared config +export const createOrderMutation = mutationOptions({ + mutationFn: (data) => createOrder(data), + onSuccess: () => { + getQueryClient().invalidateQueries({ queryKey: orderKeys.all }); + } +}); + +// In component — spread + layer UI callbacks +const mutation = useMutation({ + ...createOrderMutation, + onSuccess: () => toast.success('Created') +}); +``` + +See [references/query-abstractions.md](references/query-abstractions.md) for why `mutationOptions`/`queryOptions` are the right abstraction over custom hooks. + +--- + +## Navigation & RBAC + +Configure in `src/config/nav-config.ts`. Items are filtered client-side in `src/hooks/use-nav.ts` using Clerk. + +**Access control properties** on nav items: + +- `requireOrg: boolean` — requires active Clerk organization +- `permission: string` — requires specific Clerk permission +- `role: string` — requires specific Clerk role +- `plan: string` — requires subscription plan (server-side) +- `feature: string` — requires feature flag (server-side) + +Items without `access` are visible to everyone. All client-side checks are synchronous — no loading states. + +--- + +## Themes + +See [references/theming-guide.md](references/theming-guide.md) for the complete guide. Quick steps: + +1. Create `src/styles/themes/.css` with OKLCH color tokens + `@theme inline` block +2. Import in `src/styles/theme.css` +3. Register in `THEMES` array in `src/components/themes/theme.config.ts` +4. (Optional) Add Google Fonts in `src/components/themes/font.config.ts` + +--- + +## Code Conventions + +- **`cn()`** for class merging — never concatenate className strings +- **Server components by default** — only add `'use client'` when needed +- **React Query** — `void prefetchQuery()` on server + `useSuspenseQuery` on client +- **API layer** — `types.ts` → `service.ts` → `queries.ts` → `mutations.ts` per feature; `queryOptions`/`mutationOptions` as base abstractions (not custom hooks); `getQueryClient()` in mutations (not `useQueryClient()`); key factories (`entityKeys.all/list/detail`); components never import mock APIs directly +- **nuqs** — `searchParamsCache` on server, `useQueryStates` on client with `shallow: true` +- **Icons** — only from `@/components/icons`, never from `@tabler/icons-react` directly +- **Forms** — `useAppForm` + `useFormFields()` from `@/components/ui/tanstack-form` +- **Page headers** — `PageContainer` props, never import `` manually +- **Sort parser** — use `getSortingStateParser` from `@/lib/parsers` (same parser as `useDataTable`) +- **Formatting** — single quotes, JSX single quotes, no trailing comma, 2-space indent diff --git a/.agents/skills/kiranism-shadcn-dashboard/references/charts-guide.md b/.agents/skills/kiranism-shadcn-dashboard/references/charts-guide.md new file mode 100644 index 0000000..2c141cd --- /dev/null +++ b/.agents/skills/kiranism-shadcn-dashboard/references/charts-guide.md @@ -0,0 +1,420 @@ +# Charts & Analytics Guide + +## Table of Contents + +1. [Overview Architecture](#overview-architecture) +2. [Parallel Routes Pattern](#parallel-routes-pattern) +3. [Chart Components](#chart-components) +4. [Stats Cards](#stats-cards) +5. [Skeleton Loading](#skeleton-loading) +6. [Adding a New Chart Section](#adding-a-new-chart-section) + +--- + +## Overview Architecture + +The analytics dashboard at `/dashboard/overview` uses **Next.js parallel routes** to load multiple chart sections independently. Each chart slot streams in as its data becomes ready — no waterfall, no blocking. + +**File structure:** + +``` +src/app/dashboard/overview/ +├── layout.tsx # Composes all slots into a grid +├── @area_stats/ +│ ├── page.tsx # Async server component (fetches data) +│ ├── loading.tsx # Skeleton shown while streaming +│ └── error.tsx # Error boundary if fetch fails +├── @bar_stats/ +│ ├── page.tsx +│ ├── loading.tsx +│ └── error.tsx +├── @pie_stats/ +│ ├── page.tsx +│ ├── loading.tsx +│ └── error.tsx +└── @sales/ + ├── page.tsx + ├── loading.tsx + └── error.tsx + +src/features/overview/components/ +├── area-graph.tsx # Client chart component +├── area-graph-skeleton.tsx # Matching skeleton +├── bar-graph.tsx +├── bar-graph-skeleton.tsx +├── pie-graph.tsx +├── pie-graph-skeleton.tsx +├── recent-sales.tsx +└── recent-sales-skeleton.tsx +``` + +--- + +## Parallel Routes Pattern + +### Layout (`layout.tsx`) + +The layout receives each parallel route as a prop and arranges them in a grid: + +```tsx +export default function OverviewLayout({ + sales, + pie_stats, + bar_stats, + area_stats +}: { + sales: React.ReactNode; + pie_stats: React.ReactNode; + bar_stats: React.ReactNode; + area_stats: React.ReactNode; +}) { + return ( + + {/* Stats cards row */} +
+ + + Total Revenue + + + +
$45,231.89
+

+20.1% from last month

+ + + {/* ...more stat cards */} +
+ + {/* Charts grid — each slot loads independently */} +
+
{area_stats}
+
{sales}
+
{bar_stats}
+
{pie_stats}
+
+ + ); +} +``` + +### Slot Page (`@area_stats/page.tsx`) + +Each slot is an async server component that fetches data then renders the chart: + +```tsx +import { delay } from '@/constants/mock-api'; +import { AreaGraph } from '@/features/overview/components/area-graph'; + +export default async function AreaStatsPage() { + await delay(2000); // Simulates API fetch + return ; +} +``` + +### Slot Loading (`@area_stats/loading.tsx`) + +```tsx +import { AreaGraphSkeleton } from '@/features/overview/components/area-graph-skeleton'; + +export default function Loading() { + return ; +} +``` + +### Slot Error (`@area_stats/error.tsx`) + +```tsx +'use client'; +import { Alert, AlertDescription, AlertTitle } from '@/components/ui/alert'; +import { Icons } from '@/components/icons'; + +export default function AreaStatsError({ error }: { error: Error }) { + return ( + + + Error + Failed to load area stats: {error.message} + + ); +} +``` + +Each slot can fail independently without affecting others. + +--- + +## Chart Components + +All chart components are `'use client'` and use **Recharts** wrapped in shadcn's `ChartContainer`. + +### Chart Config + +Every chart defines a config object mapping data keys to labels and theme colors: + +```tsx +import { + type ChartConfig, + ChartContainer, + ChartTooltip, + ChartTooltipContent +} from '@/components/ui/chart'; + +const chartConfig = { + desktop: { label: 'Desktop', color: 'var(--chart-1)' }, + mobile: { label: 'Mobile', color: 'var(--chart-2)' } +} satisfies ChartConfig; +``` + +Theme colors `--chart-1` through `--chart-5` are defined in each theme's CSS file and automatically adapt to light/dark mode. + +### Area Chart Example + +```tsx +'use client'; +import { Area, AreaChart, CartesianGrid, XAxis } from 'recharts'; +import { + type ChartConfig, + ChartContainer, + ChartTooltip, + ChartTooltipContent +} from '@/components/ui/chart'; +import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card'; +import { Badge } from '@/components/ui/badge'; +import { Icons } from '@/components/icons'; + +const chartData = [ + { month: 'January', desktop: 186, mobile: 80 }, + { month: 'February', desktop: 305, mobile: 200 } + // ...more months +]; + +const chartConfig = { + desktop: { label: 'Desktop', color: 'var(--chart-1)' }, + mobile: { label: 'Mobile', color: 'var(--chart-2)' } +} satisfies ChartConfig; + +export function AreaGraph() { + return ( + + + Area Chart - Stacked + + +12.5% + + + + + + + value.slice(0, 3)} + /> + } /> + + + + + + + ); +} +``` + +### Bar Chart Pattern + +Same structure, using `BarChart` + `Bar`: + +```tsx + + + + + } /> + + + + +``` + +### Pie/Donut Chart Pattern + +```tsx + + + } /> + + + + + +``` + +--- + +## Stats Cards + +Stats cards are simple server-rendered `Card` components at the top of the layout — no parallel routes needed since they render instantly: + +```tsx + + + Total Revenue + + + +
$45,231.89
+

+20.1% from last month

+ + +``` + +For dynamic stats that need data fetching, wrap in their own Suspense boundary or parallel route slot. + +--- + +## Skeleton Loading + +Each chart has a matching skeleton component. Pattern: + +```tsx +import { Card, CardContent, CardHeader } from '@/components/ui/card'; +import { Skeleton } from '@/components/ui/skeleton'; + +export function AreaGraphSkeleton() { + return ( + + + + + + + + + + ); +} +``` + +Match the skeleton dimensions to the actual chart for smooth visual transitions. + +--- + +## Adding a New Chart Section + +To add a new chart (e.g., line chart for user growth): + +### 1. Create the chart component + +`src/features/overview/components/line-graph.tsx`: + +```tsx +'use client'; +import { Line, LineChart, CartesianGrid, XAxis } from 'recharts'; +import { + type ChartConfig, + ChartContainer, + ChartTooltip, + ChartTooltipContent +} from '@/components/ui/chart'; + +const chartConfig = { + users: { label: 'Users', color: 'var(--chart-3)' } +} satisfies ChartConfig; + +const chartData = [ + /* monthly user data */ +]; + +export function LineGraph() { + return ( + + + User Growth + + + + + + + } /> + + + + + + ); +} +``` + +### 2. Create matching skeleton + +`src/features/overview/components/line-graph-skeleton.tsx` + +### 3. Create parallel route slot + +``` +src/app/dashboard/overview/@line_stats/ +├── page.tsx → async, fetches data, returns +├── loading.tsx → returns +├── error.tsx → error alert +└── default.tsx → return null (fallback when route doesn't match) +``` + +`default.tsx` is required for parallel routes — return `null` or a fallback: + +```tsx +export default function Default() { + return null; +} +``` + +### 4. Add slot to layout + +Update `src/app/dashboard/overview/layout.tsx`: + +```tsx +export default function OverviewLayout({ + sales, + pie_stats, + bar_stats, + area_stats, + line_stats // ← add new slot +}: { + /* ...types */ +}) { + return ( +
+ {/* existing charts */} +
{line_stats}
+
+ ); +} +``` + +### Available Recharts Components + +Common chart types to use with `ChartContainer`: + +- `AreaChart` + `Area` — filled area charts (stacked or standalone) +- `BarChart` + `Bar` — vertical/horizontal bars +- `LineChart` + `Line` — line/trend charts +- `PieChart` + `Pie` — pie/donut charts +- `RadarChart` + `Radar` — radar/spider charts +- `RadialBarChart` + `RadialBar` — radial progress bars + +All support `ChartTooltip`, `ChartLegend`, and theme-aware colors via `var(--chart-N)`. diff --git a/.agents/skills/kiranism-shadcn-dashboard/references/forms-guide.md b/.agents/skills/kiranism-shadcn-dashboard/references/forms-guide.md new file mode 100644 index 0000000..b0d444a --- /dev/null +++ b/.agents/skills/kiranism-shadcn-dashboard/references/forms-guide.md @@ -0,0 +1,304 @@ +# Forms Guide + +## Table of Contents + +1. [Architecture](#architecture) +2. [Field Types](#field-types) +3. [Usage Patterns](#usage-patterns) +4. [Validation Strategies](#validation-strategies) +5. [Sheet/Dialog Forms](#sheetdialog-forms) +6. [Multi-Step Forms](#multi-step-forms) +7. [Advanced Patterns](#advanced-patterns) + +--- + +## Architecture + +The form system is built on **TanStack Form + Zod** with a composable field layer. + +**Key files:** + +- `src/components/ui/tanstack-form.tsx` — exports `useAppForm`, `useFormFields()`, composed fields +- `src/components/ui/form-context.tsx` — contexts, `createFormField`, structural components +- `src/components/forms/fields/*.tsx` — 8 field type implementations + +**Key exports:** + +```tsx +import { useAppForm, useFormFields } from '@/components/ui/tanstack-form'; +``` + +- `useAppForm(config)` — creates a form instance with `defaultValues`, `validators`, `onSubmit` +- `useFormFields()` — returns all 8 typed field components with name autocomplete from `T` +- `form.AppForm` — context provider wrapper +- `form.Form` — `
` element that handles submit +- `form.SubmitButton` — auto-disabled when form is invalid or submitting +- `form.AppField` — low-level render prop for custom fields + +--- + +## Field Types + +All fields accept: `name`, `label`, `description`, `required`, `disabled`, `validators`, `listeners`, `className`. + +| Component | Props | Notes | +| --------------------- | --------------------------------------------------------------------------------------------- | --------------------------------------- | +| `FormTextField` | `type` (text/email/number/password/tel/url), `placeholder`, `min`, `max`, `step`, `maxLength` | For numbers use `type='number'` | +| `FormTextareaField` | `placeholder`, `rows`, `maxLength` | Multiline text | +| `FormSelectField` | `options: {value, label}[]`, `placeholder` | Single select dropdown | +| `FormCheckboxField` | `options?: {value, label}[]` | Single checkbox or multi-checkbox group | +| `FormSwitchField` | — | Toggle switch | +| `FormRadioGroupField` | `options: {value, label}[]`, `orientation` | Radio button group | +| `FormSliderField` | `min`, `max`, `step` | Range slider | +| `FormFileUploadField` | `maxSize`, `maxFiles`, `accept` | Drag-and-drop with preview | + +--- + +## Usage Patterns + +### Pattern 1: `useFormFields()` (Recommended) + +Type-safe field components with name autocomplete: + +```tsx +const { FormTextField, FormSelectField } = useFormFields(); + + + + +``` + +### Pattern 2: `form.AppField` render prop + +Full control for custom field rendering: + +```tsx + + {(field) => ( + + + + + + + )} + +``` + +### Pattern 3: Direct import (no type safety) + +For quick prototyping: + +```tsx +import { FormTextField } from '@/components/ui/tanstack-form'; +; +``` + +--- + +## Validation Strategies + +### Field-level (recommended for UX) + +```tsx + +``` + +### Form-level (catch-all on submit) + +```tsx +const form = useAppForm({ + validators: { onSubmit: orderSchema }, // Validates entire form on submit + onSubmit: async ({ value }) => { + /* ... */ + } +}); +``` + +### Async validation (server-side checks) + +```tsx + { + const exists = await checkUsername(value); + return exists ? 'Username taken' : undefined; + } + }} + asyncDebounceMs={500} +/> +``` + +### Linked field validation + +For dependent fields (e.g., confirm password): + +```tsx + { + const password = fieldApi.form.getFieldValue('password'); + return value !== password ? 'Passwords must match' : undefined; + } + }} +/> +``` + +--- + +## Sheet/Dialog Forms + +The key pattern for forms inside sheets or dialogs: give the `` an `id`, and use that `id` on the submit button's `form` attribute. This allows the submit button to live outside the form element (e.g., in `SheetFooter`). + +```tsx + + + {/* fields */} + +; + +{ + /* In SheetFooter — button is outside the but still submits it */ +} + + +; +``` + +On success, call `onOpenChange(false)` to close the sheet and `form.reset()` for create forms. + +--- + +## Multi-Step Forms + +Use `withFieldGroup` + `useAppForm` with `StepButton`: + +```tsx +// Define field groups for each step +const Step1 = withFieldGroup({ + fields: ['name', 'email'], + render: ({ form }) => { + const { FormTextField } = useFormFields(); + return ( + <> + + + + + ); + } +}); + +const Step2 = withFieldGroup({ + fields: ['address', 'city'], + render: ({ form }) => { + const { FormTextField } = useFormFields(); + return ( + <> + + + + + + ); + } +}); +``` + +Use the `useStepper` hook from `src/hooks/use-stepper.tsx` to manage step state. + +--- + +## Advanced Patterns + +### Nested objects (dot notation) + +```tsx + + +``` + +### Dynamic array rows + +```tsx + + {(field) => ( + <> + {field.state.value.map((_, i) => ( + + {(subField) => } + + ))} + + + )} + +``` + +### Side effects with listeners + +```tsx + { + // Reset city when country changes + form.setFieldValue('city', ''); + } + }} +/> +``` + +### Custom field with `form.AppField` + +For fields not covered by the built-in 8 types: + +```tsx + + {(field) => ( + + + + field.handleChange(e.target.value)} + /> + + + + )} + +``` + +### Form-level errors + +Display errors that apply to the whole form (e.g., server errors): + +```tsx +import { FormErrors } from '@/components/ui/form-context'; + + + + {/* Renders form-level validation errors */} + {/* fields... */} + +; +``` diff --git a/.agents/skills/kiranism-shadcn-dashboard/references/mock-api-guide.md b/.agents/skills/kiranism-shadcn-dashboard/references/mock-api-guide.md new file mode 100644 index 0000000..ec48133 --- /dev/null +++ b/.agents/skills/kiranism-shadcn-dashboard/references/mock-api-guide.md @@ -0,0 +1,255 @@ +# Mock API Guide + +## Table of Contents + +1. [Structure](#structure) +2. [Full Template](#full-template) +3. [Key Patterns](#key-patterns) +4. [Integrating with React Query](#integrating-with-react-query) + +--- + +## Structure + +Each mock API file lives in `src/constants/mock-api-.ts` and is a self-contained in-memory database. It uses: + +- **faker** for generating sample data +- **match-sorter** for fuzzy search across fields +- **delay** (from `./mock-api`) to simulate network latency + +The `delay` function is exported from `src/constants/mock-api.ts`: + +```tsx +export async function delay(ms: number) { + return new Promise((resolve) => setTimeout(resolve, ms)); +} +``` + +--- + +## Full Template + +```tsx +import { faker } from '@faker-js/faker'; +import { matchSorter } from 'match-sorter'; +import { delay } from './mock-api'; + +// 1. Define the entity type +export type Order = { + id: number; + customer: string; + email: string; + status: string; + total: number; + created_at: string; + updated_at: string; +}; + +// 2. Create the fake database object +export const fakeOrders = { + records: [] as Order[], + + // 3. Initialize with faker data + initialize() { + const statuses = ['pending', 'processing', 'completed', 'cancelled']; + for (let i = 1; i <= 20; i++) { + this.records.push({ + id: i, + customer: faker.person.fullName(), + email: faker.internet.email(), + status: faker.helpers.arrayElement(statuses), + total: parseFloat(faker.commerce.price({ min: 10, max: 500 })), + created_at: faker.date.between({ from: '2023-01-01', to: Date.now() }).toISOString(), + updated_at: faker.date.recent().toISOString() + }); + } + }, + + // 4. Get all with optional search (used internally) + async getAll({ search }: { search?: string } = {}) { + let items = [...this.records]; + if (search) { + items = matchSorter(items, search, { + keys: ['customer', 'email'] + }); + } + return items; + }, + + // 5. Paginated list with filtering and sorting + async getOrders(params: { + page?: number; + limit?: number; + search?: string; + statuses?: string; + sort?: string; + }) { + await delay(800); + const { page = 1, limit = 10, search, statuses, sort } = params; + + let items = await this.getAll({ search }); + + // Filter by comma-separated values + if (statuses) { + const statusList = statuses.split('.'); + items = items.filter((item) => statusList.includes(item.status)); + } + + // Sort by column + if (sort) { + const parsedSort = JSON.parse(sort) as { id: string; desc: boolean }[]; + if (parsedSort.length > 0) { + const { id, desc } = parsedSort[0]; + items.sort((a, b) => { + const aVal = a[id as keyof Order]; + const bVal = b[id as keyof Order]; + if (aVal < bVal) return desc ? 1 : -1; + if (aVal > bVal) return desc ? -1 : 1; + return 0; + }); + } + } + + // Paginate + const total_items = items.length; + items = items.slice((page - 1) * limit, page * limit); + + return { items, total_items }; + }, + + // 6. Get single record by ID + async getOrderById(id: number) { + await delay(800); + return this.records.find((r) => r.id === id) || null; + }, + + // 7. Create + async createOrder(data: Omit) { + await delay(800); + const newRecord: Order = { + ...data, + id: this.records.length + 1, + created_at: new Date().toISOString(), + updated_at: new Date().toISOString() + }; + this.records.push(newRecord); + return newRecord; + }, + + // 8. Update + async updateOrder(id: number, data: Partial) { + await delay(800); + const idx = this.records.findIndex((r) => r.id === id); + if (idx === -1) return null; + this.records[idx] = { + ...this.records[idx], + ...data, + updated_at: new Date().toISOString() + }; + return this.records[idx]; + }, + + // 9. Delete + async deleteOrder(id: number) { + await delay(800); + this.records = this.records.filter((r) => r.id !== id); + return true; + } +}; + +// 10. Auto-initialize on import +fakeOrders.initialize(); +``` + +--- + +## Key Patterns + +### Search with match-sorter + +Always specify which fields to search across: + +```tsx +matchSorter(items, search, { keys: ['customer', 'email', 'status'] }); +``` + +### Comma-separated filter values + +For multi-select filters (roles, statuses), the URL param uses `.` as delimiter: + +```tsx +if (statuses) { + const list = statuses.split('.'); + items = items.filter((item) => list.includes(item.status)); +} +``` + +### Computed column sorting + +When a table has a computed column (e.g., combining first_name + last_name into "name"), handle it in the sort logic: + +```tsx +if (id === 'name') { + const aName = `${a.first_name} ${a.last_name}`; + const bName = `${b.first_name} ${b.last_name}`; + return desc ? bName.localeCompare(aName) : aName.localeCompare(bName); +} +``` + +### Return shape + +List methods must return `{ items, total_items }` (or `{ products, total }` etc. — match the query option expectations). The total is the count **before** pagination, used for `pageCount` calculation. + +--- + +## Integrating with the API Layer + +The mock API is only imported in `service.ts`. Queries and components import from the service and types files: + +``` +mock-api-orders.ts → api/service.ts → api/queries.ts → components +(data source) (data access) (key factory + (useSuspenseQuery + queryOptions) + useMutation) +``` + +**service.ts** imports from the mock API: + +```tsx +import { fakeOrders } from '@/constants/mock-api-orders'; +import type { OrderFilters, OrdersResponse } from './types'; + +export async function getOrders(filters: OrderFilters): Promise { + return fakeOrders.getOrders(filters); +} +export async function createOrder(data: OrderMutationPayload) { + return fakeOrders.createOrder(data); +} +``` + +**queries.ts** imports from service, uses key factories: + +```tsx +import { getOrders } from './service'; +import type { OrderFilters } from './types'; + +export const orderKeys = { + all: ['orders'] as const, + list: (filters: OrderFilters) => [...orderKeys.all, 'list', filters] as const, + detail: (id: number) => [...orderKeys.all, 'detail', id] as const +}; + +export const ordersQueryOptions = (filters: OrderFilters) => + queryOptions({ queryKey: orderKeys.list(filters), queryFn: () => getOrders(filters) }); +``` + +**Mutations** in components use service functions + key factories: + +```tsx +import { createOrder } from '../api/service'; +import { orderKeys } from '../api/queries'; + +const mutation = useMutation({ + mutationFn: (data) => createOrder(data), + onSuccess: () => queryClient.invalidateQueries({ queryKey: orderKeys.all }) +}); +``` diff --git a/.agents/skills/kiranism-shadcn-dashboard/references/query-abstractions.md b/.agents/skills/kiranism-shadcn-dashboard/references/query-abstractions.md new file mode 100644 index 0000000..0554b56 --- /dev/null +++ b/.agents/skills/kiranism-shadcn-dashboard/references/query-abstractions.md @@ -0,0 +1,153 @@ +# TanStack Query Abstractions (v5) + +The core insight: **`queryOptions` and `mutationOptions` are the right abstraction — not custom hooks.** + +--- + +## Query Abstraction + +### The Pattern + +```ts +// queries/invoice.ts +import { queryOptions } from '@tanstack/react-query'; + +export function invoiceOptions(id: number) { + return queryOptions({ + queryKey: ['invoice', id], + queryFn: () => fetchInvoice(id) + }); +} + +export function invoiceListOptions(filters: InvoiceFilters) { + return queryOptions({ + queryKey: ['invoices', filters], + queryFn: () => fetchInvoices(filters), + staleTime: 30_000 + }); +} +``` + +### Usage — always compose at the call site + +```ts +// basic +const { data } = useQuery(invoiceOptions(id)); + +// with suspense — same options, different hook +const { data } = useSuspenseQuery(invoiceOptions(id)); + +// with extra options spread on top — full type inference, no TS pain +const { data } = useQuery({ + ...invoiceOptions(id), + select: (invoice) => invoice.createdAt, // data infers as string | undefined + enabled: !!id +}); + +// prefetch in a route loader (works outside React — this is why hooks are wrong) +await queryClient.prefetchQuery(invoiceOptions(id)); + +// read from cache imperatively — queryKey is typed via DataTag symbol +const invoice = queryClient.getQueryData(invoiceOptions(id).queryKey); + +// invalidate +queryClient.invalidateQueries({ queryKey: invoiceOptions(id).queryKey }); +``` + +### Why NOT a custom hook + +Custom hooks like `useInvoice(id)` have three critical problems: + +1. **Hooks only work in components/hooks** — but queries are now used in route loaders, server prefetching, event handlers, and server components. `queryOptions` is just a plain function — works anywhere. +2. **They share logic, not configuration** — what you actually want to share is the `queryKey` + `queryFn` config. Hooks are the wrong primitive for that. +3. **They lock you to one hook** — you can't use `useInvoice()` with `useSuspenseQuery`, `useQueries`, or imperative `queryClient` methods. + +### Why NOT `UseQueryOptions` type directly + +```ts +// BAD — data becomes unknown +function useInvoice(id: number, options?: Partial) { ... } + +// STILL BAD — select breaks with TS error +function useInvoice(id: number, options?: Partial>) { ... } +// select: (invoice) => invoice.createdAt +// Error: Type 'string' is not assignable to type 'Invoice' +``` + +`queryOptions` solves this via a `DataTag` symbol on the queryKey — full inference, zero manual generics. + +### Custom hooks are still fine on top + +If a component always uses the same composition, a hook is fine — but build it _on top of_ `queryOptions`: + +```ts +// OK — hook built on queryOptions +function useInvoice(id: number) { + return useQuery(invoiceOptions(id)); +} + +// OK — hook that adds per-feature defaults +function useInvoiceWithSuspense(id: number) { + return useSuspenseQuery(invoiceOptions(id)); +} +``` + +--- + +## Mutation Abstraction + +### The Pattern + +```ts +// mutations/invoice.ts +import { mutationOptions } from '@tanstack/react-query'; +import { getQueryClient } from '@/lib/query-client'; + +export const createInvoiceMutation = mutationOptions({ + mutationFn: (data: CreateInvoiceInput) => createInvoice(data), + onSuccess: () => { + getQueryClient().invalidateQueries({ queryKey: ['invoices'] }); + } +}); + +export const updateInvoiceMutation = mutationOptions({ + mutationFn: ({ id, ...data }: UpdateInvoiceInput) => updateInvoice(id, data), + onSuccess: (updated) => { + const qc = getQueryClient(); + qc.setQueryData(invoiceOptions(updated.id).queryKey, updated); + qc.invalidateQueries({ queryKey: ['invoices'] }); + } +}); +``` + +> **Note on queryClient**: Import `getQueryClient()` directly — do NOT pass `queryClient` as a function argument. The `getQueryClient()` pattern handles both SSR (fresh per request) and client (singleton) correctly. + +### Usage + +```ts +// basic +const { mutate } = useMutation(createInvoiceMutation); + +// composed — add per-usage callbacks on top +const { mutate } = useMutation({ + ...createInvoiceMutation, + onError: (err) => toast.error(err.message), + onSuccess: (data) => { + // this runs AFTER the shared onSuccess above + router.push(`/invoices/${data.id}`); + } +}); +``` + +--- + +## Rules Summary + +| Rule | Reason | +| ------------------------------------------------------------- | ---------------------------------------------------------------------- | +| Use `queryOptions()` not custom hooks as the base abstraction | Works everywhere — loaders, server, imperative calls | +| Keep options factories lean — no extra config params | Best abstractions are not configurable | +| Compose extra options at the call site via spread | Full TS inference without manual generics | +| Import `getQueryClient()` in mutation files | Handles SSR/client correctly without prop drilling | +| Co-locate `queryKey` inside `queryOptions` | Typed key reuse in `invalidateQueries`, `setQueryData`, `getQueryData` | +| Custom hooks are fine — but built ON TOP of `queryOptions` | Hooks for component convenience, `queryOptions` for sharing config | diff --git a/.agents/skills/kiranism-shadcn-dashboard/references/theming-guide.md b/.agents/skills/kiranism-shadcn-dashboard/references/theming-guide.md new file mode 100644 index 0000000..90e76bc --- /dev/null +++ b/.agents/skills/kiranism-shadcn-dashboard/references/theming-guide.md @@ -0,0 +1,180 @@ +# Theme Creation Guide + +## Table of Contents + +1. [Create Theme CSS](#1-create-theme-css) +2. [Import Theme](#2-import-theme) +3. [Register Theme](#3-register-theme) +4. [Add Custom Fonts](#4-add-custom-fonts-optional) +5. [Set as Default](#5-set-as-default-optional) +6. [Required Tokens](#required-tokens) +7. [Color Format Reference](#color-format-reference) + +--- + +## 1. Create Theme CSS + +Create `src/styles/themes/.css`: + +```css +/* Light mode */ +[data-theme='your-theme'] { + --background: oklch(1 0 0); + --foreground: oklch(0.145 0 0); + --card: oklch(...); + --card-foreground: oklch(...); + --popover: oklch(...); + --popover-foreground: oklch(...); + --primary: oklch(...); + --primary-foreground: oklch(...); + --secondary: oklch(...); + --secondary-foreground: oklch(...); + --muted: oklch(...); + --muted-foreground: oklch(...); + --accent: oklch(...); + --accent-foreground: oklch(...); + --destructive: oklch(...); + --destructive-foreground: oklch(...); + --border: oklch(...); + --input: oklch(...); + --ring: oklch(...); + --chart-1: oklch(...); + --chart-2: oklch(...); + --chart-3: oklch(...); + --chart-4: oklch(...); + --chart-5: oklch(...); + --sidebar: oklch(...); + --sidebar-foreground: oklch(...); + --sidebar-primary: oklch(...); + --sidebar-primary-foreground: oklch(...); + --sidebar-accent: oklch(...); + --sidebar-accent-foreground: oklch(...); + --sidebar-border: oklch(...); + --sidebar-ring: oklch(...); + --font-sans: 'Font Name', sans-serif; + --font-mono: 'Mono Font', monospace; + --radius: 0.5rem; + --spacing: 0.25rem; +} + +/* Dark mode */ +[data-theme='your-theme'].dark { + --background: oklch(0.145 0 0); + --foreground: oklch(0.985 0 0); + /* ... all tokens with dark values */ +} + +/* Tailwind integration (required) */ +[data-theme='your-theme'] { + @theme inline { + --color-background: var(--background); + --color-foreground: var(--foreground); + --color-card: var(--card); + --color-card-foreground: var(--card-foreground); + --color-popover: var(--popover); + --color-popover-foreground: var(--popover-foreground); + --color-primary: var(--primary); + --color-primary-foreground: var(--primary-foreground); + --color-secondary: var(--secondary); + --color-secondary-foreground: var(--secondary-foreground); + --color-muted: var(--muted); + --color-muted-foreground: var(--muted-foreground); + --color-accent: var(--accent); + --color-accent-foreground: var(--accent-foreground); + --color-destructive: var(--destructive); + --color-destructive-foreground: var(--destructive-foreground); + --color-border: var(--border); + --color-input: var(--input); + --color-ring: var(--ring); + --color-chart-1: var(--chart-1); + --color-chart-2: var(--chart-2); + --color-chart-3: var(--chart-3); + --color-chart-4: var(--chart-4); + --color-chart-5: var(--chart-5); + --color-sidebar: var(--sidebar); + --color-sidebar-foreground: var(--sidebar-foreground); + --color-sidebar-primary: var(--sidebar-primary); + --color-sidebar-primary-foreground: var(--sidebar-primary-foreground); + --color-sidebar-accent: var(--sidebar-accent); + --color-sidebar-accent-foreground: var(--sidebar-accent-foreground); + --color-sidebar-border: var(--sidebar-border); + --color-sidebar-ring: var(--sidebar-ring); + --font-sans: var(--font-sans); + --font-mono: var(--font-mono); + --font-serif: var(--font-serif); + --radius-sm: calc(var(--radius) - 4px); + --radius-md: calc(var(--radius) - 2px); + --radius-lg: var(--radius); + --radius-xl: calc(var(--radius) + 4px); + } +} +``` + +## 2. Import Theme + +Add to `src/styles/theme.css`: + +```css +@import './themes/your-theme.css'; +``` + +## 3. Register Theme + +Add to `THEMES` array in `src/components/themes/theme.config.ts`: + +```typescript +{ name: 'Your Theme', value: 'your-theme' } +``` + +The `value` must exactly match the `data-theme` attribute in your CSS. + +## 4. Add Custom Fonts (Optional) + +Only if using a Google Font not already loaded. + +In `src/components/themes/font.config.ts`: + +```typescript +import { Your_Font } from 'next/font/google'; + +const fontYourName = Your_Font({ + subsets: ['latin'], + weight: ['400', '500', '700'], + variable: '--font-your-name' +}); + +export const fontVariables = cn( + // ... existing fonts + fontYourName.variable +); +``` + +In your theme CSS, use the font's **display name** (not the CSS variable): + +```css +--font-sans: 'Your Font', sans-serif; +``` + +## 5. Set as Default (Optional) + +In `src/components/themes/theme.config.ts`: + +```typescript +export const DEFAULT_THEME = 'your-theme'; +``` + +## Required Tokens + +Minimum required: `--background`, `--foreground`, `--card` & `--card-foreground`, `--popover` & `--popover-foreground`, `--primary` & `--primary-foreground`, `--secondary` & `--secondary-foreground`, `--muted` & `--muted-foreground`, `--accent` & `--accent-foreground`, `--destructive` & `--destructive-foreground`, `--border`, `--input`, `--ring`, `--radius`. + +Optional: `--chart-*`, `--sidebar-*`, `--font-*`, `--shadow-*`, `--tracking-normal`, `--spacing`. + +## Color Format Reference + +OKLCH: `oklch(lightness chroma hue)` + +- Lightness: 0-1 (0=black, 1=white) +- Chroma: 0+ (0=gray, higher=saturated) +- Hue: 0-360 (0=red, 120=green, 240=blue) + +See `src/styles/themes/claude.css` for a complete example. diff --git a/.agents/skills/next-best-practices/SKILL.md b/.agents/skills/next-best-practices/SKILL.md new file mode 100644 index 0000000..3d5e686 --- /dev/null +++ b/.agents/skills/next-best-practices/SKILL.md @@ -0,0 +1,171 @@ +--- +name: next-best-practices +description: Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling +user-invocable: false +--- + +# Next.js Best Practices + +Apply these rules when writing or reviewing Next.js code. + +## File Conventions + +See [file-conventions.md](./file-conventions.md) for: + +- Project structure and special files +- Route segments (dynamic, catch-all, groups) +- Parallel and intercepting routes +- Middleware rename in v16 (middleware → proxy) + +## RSC Boundaries + +Detect invalid React Server Component patterns. + +See [rsc-boundaries.md](./rsc-boundaries.md) for: + +- Async client component detection (invalid) +- Non-serializable props detection +- Server Action exceptions + +## Async Patterns + +Next.js 15+ async API changes. + +See [async-patterns.md](./async-patterns.md) for: + +- Async `params` and `searchParams` +- Async `cookies()` and `headers()` +- Migration codemod + +## Runtime Selection + +See [runtime-selection.md](./runtime-selection.md) for: + +- Default to Node.js runtime +- When Edge runtime is appropriate + +## Directives + +See [directives.md](./directives.md) for: + +- `'use client'`, `'use server'` (React) +- `'use cache'` (Next.js) + +## Functions + +See [functions.md](./functions.md) for: + +- Navigation hooks: `useRouter`, `usePathname`, `useSearchParams`, `useParams` +- Server functions: `cookies`, `headers`, `draftMode`, `after` +- Generate functions: `generateStaticParams`, `generateMetadata` + +## Error Handling + +See [error-handling.md](./error-handling.md) for: + +- `error.tsx`, `global-error.tsx`, `not-found.tsx` +- `redirect`, `permanentRedirect`, `notFound` +- `forbidden`, `unauthorized` (auth errors) +- `unstable_rethrow` for catch blocks + +## Data Patterns + +See [data-patterns.md](./data-patterns.md) for: + +- Server Components vs Server Actions vs Route Handlers +- Avoiding data waterfalls (`Promise.all`, Suspense, preload) +- Client component data fetching + +## Route Handlers + +See [route-handlers.md](./route-handlers.md) for: + +- `route.ts` basics +- GET handler conflicts with `page.tsx` +- Environment behavior (no React DOM) +- When to use vs Server Actions + +## Metadata & OG Images + +See [metadata.md](./metadata.md) for: + +- Static and dynamic metadata +- `generateMetadata` function +- OG image generation with `next/og` +- File-based metadata conventions + +## Image Optimization + +See [image.md](./image.md) for: + +- Always use `next/image` over `` +- Remote images configuration +- Responsive `sizes` attribute +- Blur placeholders +- Priority loading for LCP + +## Font Optimization + +See [font.md](./font.md) for: + +- `next/font` setup +- Google Fonts, local fonts +- Tailwind CSS integration +- Preloading subsets + +## Bundling + +See [bundling.md](./bundling.md) for: + +- Server-incompatible packages +- CSS imports (not link tags) +- Polyfills (already included) +- ESM/CommonJS issues +- Bundle analysis + +## Scripts + +See [scripts.md](./scripts.md) for: + +- `next/script` vs native script tags +- Inline scripts need `id` +- Loading strategies +- Google Analytics with `@next/third-parties` + +## Hydration Errors + +See [hydration-error.md](./hydration-error.md) for: + +- Common causes (browser APIs, dates, invalid HTML) +- Debugging with error overlay +- Fixes for each cause + +## Suspense Boundaries + +See [suspense-boundaries.md](./suspense-boundaries.md) for: + +- CSR bailout with `useSearchParams` and `usePathname` +- Which hooks require Suspense boundaries + +## Parallel & Intercepting Routes + +See [parallel-routes.md](./parallel-routes.md) for: + +- Modal patterns with `@slot` and `(.)` interceptors +- `default.tsx` for fallbacks +- Closing modals correctly with `router.back()` + +## Self-Hosting + +See [self-hosting.md](./self-hosting.md) for: + +- `output: 'standalone'` for Docker +- Cache handlers for multi-instance ISR +- What works vs needs extra setup + +## Debug Tricks + +See [debug-tricks.md](./debug-tricks.md) for: + +- MCP endpoint for AI-assisted debugging +- Rebuild specific routes with `--debug-build-paths` diff --git a/.agents/skills/next-best-practices/async-patterns.md b/.agents/skills/next-best-practices/async-patterns.md new file mode 100644 index 0000000..0692c4a --- /dev/null +++ b/.agents/skills/next-best-practices/async-patterns.md @@ -0,0 +1,84 @@ +# Async Patterns + +In Next.js 15+, `params`, `searchParams`, `cookies()`, and `headers()` are asynchronous. + +## Async Params and SearchParams + +Always type them as `Promise<...>` and await them. + +### Pages and Layouts + +```tsx +type Props = { params: Promise<{ slug: string }> }; + +export default async function Page({ params }: Props) { + const { slug } = await params; +} +``` + +### Route Handlers + +```tsx +export async function GET(request: Request, { params }: { params: Promise<{ id: string }> }) { + const { id } = await params; +} +``` + +### SearchParams + +```tsx +type Props = { + params: Promise<{ slug: string }>; + searchParams: Promise<{ query?: string }>; +}; + +export default async function Page({ params, searchParams }: Props) { + const { slug } = await params; + const { query } = await searchParams; +} +``` + +### Synchronous Components + +Use `React.use()` for non-async components: + +```tsx +import { use } from 'react'; + +type Props = { params: Promise<{ slug: string }> }; + +export default function Page({ params }: Props) { + const { slug } = use(params); +} +``` + +### generateMetadata + +```tsx +type Props = { params: Promise<{ slug: string }> }; + +export async function generateMetadata({ params }: Props): Promise { + const { slug } = await params; + return { title: slug }; +} +``` + +## Async Cookies and Headers + +```tsx +import { cookies, headers } from 'next/headers'; + +export default async function Page() { + const cookieStore = await cookies(); + const headersList = await headers(); + + const theme = cookieStore.get('theme'); + const userAgent = headersList.get('user-agent'); +} +``` + +## Migration Codemod + +```bash +npx @next/codemod@latest next-async-request-api . +``` diff --git a/.agents/skills/next-best-practices/bundling.md b/.agents/skills/next-best-practices/bundling.md new file mode 100644 index 0000000..f4dc161 --- /dev/null +++ b/.agents/skills/next-best-practices/bundling.md @@ -0,0 +1,182 @@ +# Bundling + +Fix common bundling issues with third-party packages. + +## Server-Incompatible Packages + +Some packages use browser APIs (`window`, `document`, `localStorage`) and fail in Server Components. + +### Error Signs + +``` +ReferenceError: window is not defined +ReferenceError: document is not defined +ReferenceError: localStorage is not defined +Module not found: Can't resolve 'fs' +``` + +### Solution 1: Mark as Client-Only + +If the package is only needed on client: + +```tsx +// Bad: Fails - package uses window +import SomeChart from 'some-chart-library'; + +export default function Page() { + return ; +} + +// Good: Use dynamic import with ssr: false +import dynamic from 'next/dynamic'; + +const SomeChart = dynamic(() => import('some-chart-library'), { + ssr: false +}); + +export default function Page() { + return ; +} +``` + +### Solution 2: Externalize from Server Bundle + +For packages that should run on server but have bundling issues: + +```js +// next.config.js +module.exports = { + serverExternalPackages: ['problematic-package'] +}; +``` + +Use this for: + +- Packages with native bindings (sharp, bcrypt) +- Packages that don't bundle well (some ORMs) +- Packages with circular dependencies + +### Solution 3: Client Component Wrapper + +Wrap the entire usage in a client component: + +```tsx +// components/ChartWrapper.tsx +'use client'; + +import { Chart } from 'chart-library'; + +export function ChartWrapper(props) { + return ; +} + +// app/page.tsx (server component) +import { ChartWrapper } from '@/components/ChartWrapper'; + +export default function Page() { + return ; +} +``` + +## CSS Imports + +Import CSS files instead of using `` tags. Next.js handles bundling and optimization. + +```tsx +// Bad: Manual link tag +; + +// Good: Import CSS +import './styles.css'; + +// Good: CSS Modules +import styles from './Button.module.css'; +``` + +## Polyfills + +Next.js includes common polyfills automatically. Don't load redundant ones from polyfill.io or similar CDNs. + +Already included: `Array.from`, `Object.assign`, `Promise`, `fetch`, `Map`, `Set`, `Symbol`, `URLSearchParams`, and 50+ others. + +```tsx +// Bad: Redundant polyfills +; + +// Good: Next.js Script component +import Script from 'next/script'; + + +``` + +## Don't Put Script in Head + +`next/script` should not be placed inside `next/head`. It handles its own positioning. + +```tsx +// Bad: Script inside Head +import Head from 'next/head' +import Script from 'next/script' + + + + +// Good: Next.js component +import { GoogleAnalytics } from '@next/third-parties/google' + +export default function Layout({ children }) { + return ( + + {children} + + + ) +} +``` + +## Google Tag Manager + +```tsx +import { GoogleTagManager } from '@next/third-parties/google'; + +export default function Layout({ children }) { + return ( + + + {children} + + ); +} +``` + +## Other Third-Party Scripts + +```tsx +// YouTube embed +import { YouTubeEmbed } from '@next/third-parties/google'; + +; + +// Google Maps +import { GoogleMapsEmbed } from '@next/third-parties/google'; + +; +``` + +## Quick Reference + +| Pattern | Issue | Fix | +| --------------------------------------------- | -------------------------- | ------------------------- | +| ` + + diff --git a/.agents/skills/skill-creator/eval-viewer/generate_review.py b/.agents/skills/skill-creator/eval-viewer/generate_review.py new file mode 100644 index 0000000..7fa5978 --- /dev/null +++ b/.agents/skills/skill-creator/eval-viewer/generate_review.py @@ -0,0 +1,471 @@ +#!/usr/bin/env python3 +"""Generate and serve a review page for eval results. + +Reads the workspace directory, discovers runs (directories with outputs/), +embeds all output data into a self-contained HTML page, and serves it via +a tiny HTTP server. Feedback auto-saves to feedback.json in the workspace. + +Usage: + python generate_review.py [--port PORT] [--skill-name NAME] + python generate_review.py --previous-feedback /path/to/old/feedback.json + +No dependencies beyond the Python stdlib are required. +""" + +import argparse +import base64 +import json +import mimetypes +import os +import re +import signal +import subprocess +import sys +import time +import webbrowser +from functools import partial +from http.server import HTTPServer, BaseHTTPRequestHandler +from pathlib import Path + +# Files to exclude from output listings +METADATA_FILES = {"transcript.md", "user_notes.md", "metrics.json"} + +# Extensions we render as inline text +TEXT_EXTENSIONS = { + ".txt", ".md", ".json", ".csv", ".py", ".js", ".ts", ".tsx", ".jsx", + ".yaml", ".yml", ".xml", ".html", ".css", ".sh", ".rb", ".go", ".rs", + ".java", ".c", ".cpp", ".h", ".hpp", ".sql", ".r", ".toml", +} + +# Extensions we render as inline images +IMAGE_EXTENSIONS = {".png", ".jpg", ".jpeg", ".gif", ".svg", ".webp"} + +# MIME type overrides for common types +MIME_OVERRIDES = { + ".svg": "image/svg+xml", + ".xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", + ".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", + ".pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation", +} + + +def get_mime_type(path: Path) -> str: + ext = path.suffix.lower() + if ext in MIME_OVERRIDES: + return MIME_OVERRIDES[ext] + mime, _ = mimetypes.guess_type(str(path)) + return mime or "application/octet-stream" + + +def find_runs(workspace: Path) -> list[dict]: + """Recursively find directories that contain an outputs/ subdirectory.""" + runs: list[dict] = [] + _find_runs_recursive(workspace, workspace, runs) + runs.sort(key=lambda r: (r.get("eval_id", float("inf")), r["id"])) + return runs + + +def _find_runs_recursive(root: Path, current: Path, runs: list[dict]) -> None: + if not current.is_dir(): + return + + outputs_dir = current / "outputs" + if outputs_dir.is_dir(): + run = build_run(root, current) + if run: + runs.append(run) + return + + skip = {"node_modules", ".git", "__pycache__", "skill", "inputs"} + for child in sorted(current.iterdir()): + if child.is_dir() and child.name not in skip: + _find_runs_recursive(root, child, runs) + + +def build_run(root: Path, run_dir: Path) -> dict | None: + """Build a run dict with prompt, outputs, and grading data.""" + prompt = "" + eval_id = None + + # Try eval_metadata.json + for candidate in [run_dir / "eval_metadata.json", run_dir.parent / "eval_metadata.json"]: + if candidate.exists(): + try: + metadata = json.loads(candidate.read_text()) + prompt = metadata.get("prompt", "") + eval_id = metadata.get("eval_id") + except (json.JSONDecodeError, OSError): + pass + if prompt: + break + + # Fall back to transcript.md + if not prompt: + for candidate in [run_dir / "transcript.md", run_dir / "outputs" / "transcript.md"]: + if candidate.exists(): + try: + text = candidate.read_text() + match = re.search(r"## Eval Prompt\n\n([\s\S]*?)(?=\n##|$)", text) + if match: + prompt = match.group(1).strip() + except OSError: + pass + if prompt: + break + + if not prompt: + prompt = "(No prompt found)" + + run_id = str(run_dir.relative_to(root)).replace("/", "-").replace("\\", "-") + + # Collect output files + outputs_dir = run_dir / "outputs" + output_files: list[dict] = [] + if outputs_dir.is_dir(): + for f in sorted(outputs_dir.iterdir()): + if f.is_file() and f.name not in METADATA_FILES: + output_files.append(embed_file(f)) + + # Load grading if present + grading = None + for candidate in [run_dir / "grading.json", run_dir.parent / "grading.json"]: + if candidate.exists(): + try: + grading = json.loads(candidate.read_text()) + except (json.JSONDecodeError, OSError): + pass + if grading: + break + + return { + "id": run_id, + "prompt": prompt, + "eval_id": eval_id, + "outputs": output_files, + "grading": grading, + } + + +def embed_file(path: Path) -> dict: + """Read a file and return an embedded representation.""" + ext = path.suffix.lower() + mime = get_mime_type(path) + + if ext in TEXT_EXTENSIONS: + try: + content = path.read_text(errors="replace") + except OSError: + content = "(Error reading file)" + return { + "name": path.name, + "type": "text", + "content": content, + } + elif ext in IMAGE_EXTENSIONS: + try: + raw = path.read_bytes() + b64 = base64.b64encode(raw).decode("ascii") + except OSError: + return {"name": path.name, "type": "error", "content": "(Error reading file)"} + return { + "name": path.name, + "type": "image", + "mime": mime, + "data_uri": f"data:{mime};base64,{b64}", + } + elif ext == ".pdf": + try: + raw = path.read_bytes() + b64 = base64.b64encode(raw).decode("ascii") + except OSError: + return {"name": path.name, "type": "error", "content": "(Error reading file)"} + return { + "name": path.name, + "type": "pdf", + "data_uri": f"data:{mime};base64,{b64}", + } + elif ext == ".xlsx": + try: + raw = path.read_bytes() + b64 = base64.b64encode(raw).decode("ascii") + except OSError: + return {"name": path.name, "type": "error", "content": "(Error reading file)"} + return { + "name": path.name, + "type": "xlsx", + "data_b64": b64, + } + else: + # Binary / unknown — base64 download link + try: + raw = path.read_bytes() + b64 = base64.b64encode(raw).decode("ascii") + except OSError: + return {"name": path.name, "type": "error", "content": "(Error reading file)"} + return { + "name": path.name, + "type": "binary", + "mime": mime, + "data_uri": f"data:{mime};base64,{b64}", + } + + +def load_previous_iteration(workspace: Path) -> dict[str, dict]: + """Load previous iteration's feedback and outputs. + + Returns a map of run_id -> {"feedback": str, "outputs": list[dict]}. + """ + result: dict[str, dict] = {} + + # Load feedback + feedback_map: dict[str, str] = {} + feedback_path = workspace / "feedback.json" + if feedback_path.exists(): + try: + data = json.loads(feedback_path.read_text()) + feedback_map = { + r["run_id"]: r["feedback"] + for r in data.get("reviews", []) + if r.get("feedback", "").strip() + } + except (json.JSONDecodeError, OSError, KeyError): + pass + + # Load runs (to get outputs) + prev_runs = find_runs(workspace) + for run in prev_runs: + result[run["id"]] = { + "feedback": feedback_map.get(run["id"], ""), + "outputs": run.get("outputs", []), + } + + # Also add feedback for run_ids that had feedback but no matching run + for run_id, fb in feedback_map.items(): + if run_id not in result: + result[run_id] = {"feedback": fb, "outputs": []} + + return result + + +def generate_html( + runs: list[dict], + skill_name: str, + previous: dict[str, dict] | None = None, + benchmark: dict | None = None, +) -> str: + """Generate the complete standalone HTML page with embedded data.""" + template_path = Path(__file__).parent / "viewer.html" + template = template_path.read_text() + + # Build previous_feedback and previous_outputs maps for the template + previous_feedback: dict[str, str] = {} + previous_outputs: dict[str, list[dict]] = {} + if previous: + for run_id, data in previous.items(): + if data.get("feedback"): + previous_feedback[run_id] = data["feedback"] + if data.get("outputs"): + previous_outputs[run_id] = data["outputs"] + + embedded = { + "skill_name": skill_name, + "runs": runs, + "previous_feedback": previous_feedback, + "previous_outputs": previous_outputs, + } + if benchmark: + embedded["benchmark"] = benchmark + + data_json = json.dumps(embedded) + + return template.replace("/*__EMBEDDED_DATA__*/", f"const EMBEDDED_DATA = {data_json};") + + +# --------------------------------------------------------------------------- +# HTTP server (stdlib only, zero dependencies) +# --------------------------------------------------------------------------- + +def _kill_port(port: int) -> None: + """Kill any process listening on the given port.""" + try: + result = subprocess.run( + ["lsof", "-ti", f":{port}"], + capture_output=True, text=True, timeout=5, + ) + for pid_str in result.stdout.strip().split("\n"): + if pid_str.strip(): + try: + os.kill(int(pid_str.strip()), signal.SIGTERM) + except (ProcessLookupError, ValueError): + pass + if result.stdout.strip(): + time.sleep(0.5) + except subprocess.TimeoutExpired: + pass + except FileNotFoundError: + print("Note: lsof not found, cannot check if port is in use", file=sys.stderr) + +class ReviewHandler(BaseHTTPRequestHandler): + """Serves the review HTML and handles feedback saves. + + Regenerates the HTML on each page load so that refreshing the browser + picks up new eval outputs without restarting the server. + """ + + def __init__( + self, + workspace: Path, + skill_name: str, + feedback_path: Path, + previous: dict[str, dict], + benchmark_path: Path | None, + *args, + **kwargs, + ): + self.workspace = workspace + self.skill_name = skill_name + self.feedback_path = feedback_path + self.previous = previous + self.benchmark_path = benchmark_path + super().__init__(*args, **kwargs) + + def do_GET(self) -> None: + if self.path == "/" or self.path == "/index.html": + # Regenerate HTML on each request (re-scans workspace for new outputs) + runs = find_runs(self.workspace) + benchmark = None + if self.benchmark_path and self.benchmark_path.exists(): + try: + benchmark = json.loads(self.benchmark_path.read_text()) + except (json.JSONDecodeError, OSError): + pass + html = generate_html(runs, self.skill_name, self.previous, benchmark) + content = html.encode("utf-8") + self.send_response(200) + self.send_header("Content-Type", "text/html; charset=utf-8") + self.send_header("Content-Length", str(len(content))) + self.end_headers() + self.wfile.write(content) + elif self.path == "/api/feedback": + data = b"{}" + if self.feedback_path.exists(): + data = self.feedback_path.read_bytes() + self.send_response(200) + self.send_header("Content-Type", "application/json") + self.send_header("Content-Length", str(len(data))) + self.end_headers() + self.wfile.write(data) + else: + self.send_error(404) + + def do_POST(self) -> None: + if self.path == "/api/feedback": + length = int(self.headers.get("Content-Length", 0)) + body = self.rfile.read(length) + try: + data = json.loads(body) + if not isinstance(data, dict) or "reviews" not in data: + raise ValueError("Expected JSON object with 'reviews' key") + self.feedback_path.write_text(json.dumps(data, indent=2) + "\n") + resp = b'{"ok":true}' + self.send_response(200) + except (json.JSONDecodeError, OSError, ValueError) as e: + resp = json.dumps({"error": str(e)}).encode() + self.send_response(500) + self.send_header("Content-Type", "application/json") + self.send_header("Content-Length", str(len(resp))) + self.end_headers() + self.wfile.write(resp) + else: + self.send_error(404) + + def log_message(self, format: str, *args: object) -> None: + # Suppress request logging to keep terminal clean + pass + + +def main() -> None: + parser = argparse.ArgumentParser(description="Generate and serve eval review") + parser.add_argument("workspace", type=Path, help="Path to workspace directory") + parser.add_argument("--port", "-p", type=int, default=3117, help="Server port (default: 3117)") + parser.add_argument("--skill-name", "-n", type=str, default=None, help="Skill name for header") + parser.add_argument( + "--previous-workspace", type=Path, default=None, + help="Path to previous iteration's workspace (shows old outputs and feedback as context)", + ) + parser.add_argument( + "--benchmark", type=Path, default=None, + help="Path to benchmark.json to show in the Benchmark tab", + ) + parser.add_argument( + "--static", "-s", type=Path, default=None, + help="Write standalone HTML to this path instead of starting a server", + ) + args = parser.parse_args() + + workspace = args.workspace.resolve() + if not workspace.is_dir(): + print(f"Error: {workspace} is not a directory", file=sys.stderr) + sys.exit(1) + + runs = find_runs(workspace) + if not runs: + print(f"No runs found in {workspace}", file=sys.stderr) + sys.exit(1) + + skill_name = args.skill_name or workspace.name.replace("-workspace", "") + feedback_path = workspace / "feedback.json" + + previous: dict[str, dict] = {} + if args.previous_workspace: + previous = load_previous_iteration(args.previous_workspace.resolve()) + + benchmark_path = args.benchmark.resolve() if args.benchmark else None + benchmark = None + if benchmark_path and benchmark_path.exists(): + try: + benchmark = json.loads(benchmark_path.read_text()) + except (json.JSONDecodeError, OSError): + pass + + if args.static: + html = generate_html(runs, skill_name, previous, benchmark) + args.static.parent.mkdir(parents=True, exist_ok=True) + args.static.write_text(html) + print(f"\n Static viewer written to: {args.static}\n") + sys.exit(0) + + # Kill any existing process on the target port + port = args.port + _kill_port(port) + handler = partial(ReviewHandler, workspace, skill_name, feedback_path, previous, benchmark_path) + try: + server = HTTPServer(("127.0.0.1", port), handler) + except OSError: + # Port still in use after kill attempt — find a free one + server = HTTPServer(("127.0.0.1", 0), handler) + port = server.server_address[1] + + url = f"http://localhost:{port}" + print(f"\n Eval Viewer") + print(f" ─────────────────────────────────") + print(f" URL: {url}") + print(f" Workspace: {workspace}") + print(f" Feedback: {feedback_path}") + if previous: + print(f" Previous: {args.previous_workspace} ({len(previous)} runs)") + if benchmark_path: + print(f" Benchmark: {benchmark_path}") + print(f"\n Press Ctrl+C to stop.\n") + + webbrowser.open(url) + + try: + server.serve_forever() + except KeyboardInterrupt: + print("\nStopped.") + server.server_close() + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/skill-creator/eval-viewer/viewer.html b/.agents/skills/skill-creator/eval-viewer/viewer.html new file mode 100644 index 0000000..0db8387 --- /dev/null +++ b/.agents/skills/skill-creator/eval-viewer/viewer.html @@ -0,0 +1,1478 @@ + + + + + + Eval Review + + + + + + + +
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+ + + + diff --git a/.agents/skills/skill-creator/references/schemas.md b/.agents/skills/skill-creator/references/schemas.md new file mode 100644 index 0000000..effe351 --- /dev/null +++ b/.agents/skills/skill-creator/references/schemas.md @@ -0,0 +1,423 @@ +# JSON Schemas + +This document defines the JSON schemas used by skill-creator. + +--- + +## evals.json + +Defines the evals for a skill. Located at `evals/evals.json` within the skill directory. + +```json +{ + "skill_name": "example-skill", + "evals": [ + { + "id": 1, + "prompt": "User's example prompt", + "expected_output": "Description of expected result", + "files": ["evals/files/sample1.pdf"], + "expectations": ["The output includes X", "The skill used script Y"] + } + ] +} +``` + +**Fields:** + +- `skill_name`: Name matching the skill's frontmatter +- `evals[].id`: Unique integer identifier +- `evals[].prompt`: The task to execute +- `evals[].expected_output`: Human-readable description of success +- `evals[].files`: Optional list of input file paths (relative to skill root) +- `evals[].expectations`: List of verifiable statements + +--- + +## history.json + +Tracks version progression in Improve mode. Located at workspace root. + +```json +{ + "started_at": "2026-01-15T10:30:00Z", + "skill_name": "pdf", + "current_best": "v2", + "iterations": [ + { + "version": "v0", + "parent": null, + "expectation_pass_rate": 0.65, + "grading_result": "baseline", + "is_current_best": false + }, + { + "version": "v1", + "parent": "v0", + "expectation_pass_rate": 0.75, + "grading_result": "won", + "is_current_best": false + }, + { + "version": "v2", + "parent": "v1", + "expectation_pass_rate": 0.85, + "grading_result": "won", + "is_current_best": true + } + ] +} +``` + +**Fields:** + +- `started_at`: ISO timestamp of when improvement started +- `skill_name`: Name of the skill being improved +- `current_best`: Version identifier of the best performer +- `iterations[].version`: Version identifier (v0, v1, ...) +- `iterations[].parent`: Parent version this was derived from +- `iterations[].expectation_pass_rate`: Pass rate from grading +- `iterations[].grading_result`: "baseline", "won", "lost", or "tie" +- `iterations[].is_current_best`: Whether this is the current best version + +--- + +## grading.json + +Output from the grader agent. Located at `/grading.json`. + +```json +{ + "expectations": [ + { + "text": "The output includes the name 'John Smith'", + "passed": true, + "evidence": "Found in transcript Step 3: 'Extracted names: John Smith, Sarah Johnson'" + }, + { + "text": "The spreadsheet has a SUM formula in cell B10", + "passed": false, + "evidence": "No spreadsheet was created. The output was a text file." + } + ], + "summary": { + "passed": 2, + "failed": 1, + "total": 3, + "pass_rate": 0.67 + }, + "execution_metrics": { + "tool_calls": { + "Read": 5, + "Write": 2, + "Bash": 8 + }, + "total_tool_calls": 15, + "total_steps": 6, + "errors_encountered": 0, + "output_chars": 12450, + "transcript_chars": 3200 + }, + "timing": { + "executor_duration_seconds": 165.0, + "grader_duration_seconds": 26.0, + "total_duration_seconds": 191.0 + }, + "claims": [ + { + "claim": "The form has 12 fillable fields", + "type": "factual", + "verified": true, + "evidence": "Counted 12 fields in field_info.json" + } + ], + "user_notes_summary": { + "uncertainties": ["Used 2023 data, may be stale"], + "needs_review": [], + "workarounds": ["Fell back to text overlay for non-fillable fields"] + }, + "eval_feedback": { + "suggestions": [ + { + "assertion": "The output includes the name 'John Smith'", + "reason": "A hallucinated document that mentions the name would also pass" + } + ], + "overall": "Assertions check presence but not correctness." + } +} +``` + +**Fields:** + +- `expectations[]`: Graded expectations with evidence +- `summary`: Aggregate pass/fail counts +- `execution_metrics`: Tool usage and output size (from executor's metrics.json) +- `timing`: Wall clock timing (from timing.json) +- `claims`: Extracted and verified claims from the output +- `user_notes_summary`: Issues flagged by the executor +- `eval_feedback`: (optional) Improvement suggestions for the evals, only present when the grader identifies issues worth raising + +--- + +## metrics.json + +Output from the executor agent. Located at `/outputs/metrics.json`. + +```json +{ + "tool_calls": { + "Read": 5, + "Write": 2, + "Bash": 8, + "Edit": 1, + "Glob": 2, + "Grep": 0 + }, + "total_tool_calls": 18, + "total_steps": 6, + "files_created": ["filled_form.pdf", "field_values.json"], + "errors_encountered": 0, + "output_chars": 12450, + "transcript_chars": 3200 +} +``` + +**Fields:** + +- `tool_calls`: Count per tool type +- `total_tool_calls`: Sum of all tool calls +- `total_steps`: Number of major execution steps +- `files_created`: List of output files created +- `errors_encountered`: Number of errors during execution +- `output_chars`: Total character count of output files +- `transcript_chars`: Character count of transcript + +--- + +## timing.json + +Wall clock timing for a run. Located at `/timing.json`. + +**How to capture:** When a subagent task completes, the task notification includes `total_tokens` and `duration_ms`. Save these immediately — they are not persisted anywhere else and cannot be recovered after the fact. + +```json +{ + "total_tokens": 84852, + "duration_ms": 23332, + "total_duration_seconds": 23.3, + "executor_start": "2026-01-15T10:30:00Z", + "executor_end": "2026-01-15T10:32:45Z", + "executor_duration_seconds": 165.0, + "grader_start": "2026-01-15T10:32:46Z", + "grader_end": "2026-01-15T10:33:12Z", + "grader_duration_seconds": 26.0 +} +``` + +--- + +## benchmark.json + +Output from Benchmark mode. Located at `benchmarks//benchmark.json`. + +```json +{ + "metadata": { + "skill_name": "pdf", + "skill_path": "/path/to/pdf", + "executor_model": "claude-sonnet-4-20250514", + "analyzer_model": "most-capable-model", + "timestamp": "2026-01-15T10:30:00Z", + "evals_run": [1, 2, 3], + "runs_per_configuration": 3 + }, + + "runs": [ + { + "eval_id": 1, + "eval_name": "Ocean", + "configuration": "with_skill", + "run_number": 1, + "result": { + "pass_rate": 0.85, + "passed": 6, + "failed": 1, + "total": 7, + "time_seconds": 42.5, + "tokens": 3800, + "tool_calls": 18, + "errors": 0 + }, + "expectations": [{ "text": "...", "passed": true, "evidence": "..." }], + "notes": ["Used 2023 data, may be stale", "Fell back to text overlay for non-fillable fields"] + } + ], + + "run_summary": { + "with_skill": { + "pass_rate": { "mean": 0.85, "stddev": 0.05, "min": 0.8, "max": 0.9 }, + "time_seconds": { "mean": 45.0, "stddev": 12.0, "min": 32.0, "max": 58.0 }, + "tokens": { "mean": 3800, "stddev": 400, "min": 3200, "max": 4100 } + }, + "without_skill": { + "pass_rate": { "mean": 0.35, "stddev": 0.08, "min": 0.28, "max": 0.45 }, + "time_seconds": { "mean": 32.0, "stddev": 8.0, "min": 24.0, "max": 42.0 }, + "tokens": { "mean": 2100, "stddev": 300, "min": 1800, "max": 2500 } + }, + "delta": { + "pass_rate": "+0.50", + "time_seconds": "+13.0", + "tokens": "+1700" + } + }, + + "notes": [ + "Assertion 'Output is a PDF file' passes 100% in both configurations - may not differentiate skill value", + "Eval 3 shows high variance (50% ± 40%) - may be flaky or model-dependent", + "Without-skill runs consistently fail on table extraction expectations", + "Skill adds 13s average execution time but improves pass rate by 50%" + ] +} +``` + +**Fields:** + +- `metadata`: Information about the benchmark run + - `skill_name`: Name of the skill + - `timestamp`: When the benchmark was run + - `evals_run`: List of eval names or IDs + - `runs_per_configuration`: Number of runs per config (e.g. 3) +- `runs[]`: Individual run results + - `eval_id`: Numeric eval identifier + - `eval_name`: Human-readable eval name (used as section header in the viewer) + - `configuration`: Must be `"with_skill"` or `"without_skill"` (the viewer uses this exact string for grouping and color coding) + - `run_number`: Integer run number (1, 2, 3...) + - `result`: Nested object with `pass_rate`, `passed`, `total`, `time_seconds`, `tokens`, `errors` +- `run_summary`: Statistical aggregates per configuration + - `with_skill` / `without_skill`: Each contains `pass_rate`, `time_seconds`, `tokens` objects with `mean` and `stddev` fields + - `delta`: Difference strings like `"+0.50"`, `"+13.0"`, `"+1700"` +- `notes`: Freeform observations from the analyzer + +**Important:** The viewer reads these field names exactly. Using `config` instead of `configuration`, or putting `pass_rate` at the top level of a run instead of nested under `result`, will cause the viewer to show empty/zero values. Always reference this schema when generating benchmark.json manually. + +--- + +## comparison.json + +Output from blind comparator. Located at `/comparison-N.json`. + +```json +{ + "winner": "A", + "reasoning": "Output A provides a complete solution with proper formatting and all required fields. Output B is missing the date field and has formatting inconsistencies.", + "rubric": { + "A": { + "content": { + "correctness": 5, + "completeness": 5, + "accuracy": 4 + }, + "structure": { + "organization": 4, + "formatting": 5, + "usability": 4 + }, + "content_score": 4.7, + "structure_score": 4.3, + "overall_score": 9.0 + }, + "B": { + "content": { + "correctness": 3, + "completeness": 2, + "accuracy": 3 + }, + "structure": { + "organization": 3, + "formatting": 2, + "usability": 3 + }, + "content_score": 2.7, + "structure_score": 2.7, + "overall_score": 5.4 + } + }, + "output_quality": { + "A": { + "score": 9, + "strengths": ["Complete solution", "Well-formatted", "All fields present"], + "weaknesses": ["Minor style inconsistency in header"] + }, + "B": { + "score": 5, + "strengths": ["Readable output", "Correct basic structure"], + "weaknesses": ["Missing date field", "Formatting inconsistencies", "Partial data extraction"] + } + }, + "expectation_results": { + "A": { + "passed": 4, + "total": 5, + "pass_rate": 0.8, + "details": [{ "text": "Output includes name", "passed": true }] + }, + "B": { + "passed": 3, + "total": 5, + "pass_rate": 0.6, + "details": [{ "text": "Output includes name", "passed": true }] + } + } +} +``` + +--- + +## analysis.json + +Output from post-hoc analyzer. Located at `/analysis.json`. + +```json +{ + "comparison_summary": { + "winner": "A", + "winner_skill": "path/to/winner/skill", + "loser_skill": "path/to/loser/skill", + "comparator_reasoning": "Brief summary of why comparator chose winner" + }, + "winner_strengths": [ + "Clear step-by-step instructions for handling multi-page documents", + "Included validation script that caught formatting errors" + ], + "loser_weaknesses": [ + "Vague instruction 'process the document appropriately' led to inconsistent behavior", + "No script for validation, agent had to improvise" + ], + "instruction_following": { + "winner": { + "score": 9, + "issues": ["Minor: skipped optional logging step"] + }, + "loser": { + "score": 6, + "issues": [ + "Did not use the skill's formatting template", + "Invented own approach instead of following step 3" + ] + } + }, + "improvement_suggestions": [ + { + "priority": "high", + "category": "instructions", + "suggestion": "Replace 'process the document appropriately' with explicit steps", + "expected_impact": "Would eliminate ambiguity that caused inconsistent behavior" + } + ], + "transcript_insights": { + "winner_execution_pattern": "Read skill -> Followed 5-step process -> Used validation script", + "loser_execution_pattern": "Read skill -> Unclear on approach -> Tried 3 different methods" + } +} +``` diff --git a/.agents/skills/skill-creator/scripts/__init__.py b/.agents/skills/skill-creator/scripts/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/.agents/skills/skill-creator/scripts/aggregate_benchmark.py b/.agents/skills/skill-creator/scripts/aggregate_benchmark.py new file mode 100644 index 0000000..3e66e8c --- /dev/null +++ b/.agents/skills/skill-creator/scripts/aggregate_benchmark.py @@ -0,0 +1,401 @@ +#!/usr/bin/env python3 +""" +Aggregate individual run results into benchmark summary statistics. + +Reads grading.json files from run directories and produces: +- run_summary with mean, stddev, min, max for each metric +- delta between with_skill and without_skill configurations + +Usage: + python aggregate_benchmark.py + +Example: + python aggregate_benchmark.py benchmarks/2026-01-15T10-30-00/ + +The script supports two directory layouts: + + Workspace layout (from skill-creator iterations): + / + └── eval-N/ + ├── with_skill/ + │ ├── run-1/grading.json + │ └── run-2/grading.json + └── without_skill/ + ├── run-1/grading.json + └── run-2/grading.json + + Legacy layout (with runs/ subdirectory): + / + └── runs/ + └── eval-N/ + ├── with_skill/ + │ └── run-1/grading.json + └── without_skill/ + └── run-1/grading.json +""" + +import argparse +import json +import math +import sys +from datetime import datetime, timezone +from pathlib import Path + + +def calculate_stats(values: list[float]) -> dict: + """Calculate mean, stddev, min, max for a list of values.""" + if not values: + return {"mean": 0.0, "stddev": 0.0, "min": 0.0, "max": 0.0} + + n = len(values) + mean = sum(values) / n + + if n > 1: + variance = sum((x - mean) ** 2 for x in values) / (n - 1) + stddev = math.sqrt(variance) + else: + stddev = 0.0 + + return { + "mean": round(mean, 4), + "stddev": round(stddev, 4), + "min": round(min(values), 4), + "max": round(max(values), 4) + } + + +def load_run_results(benchmark_dir: Path) -> dict: + """ + Load all run results from a benchmark directory. + + Returns dict keyed by config name (e.g. "with_skill"/"without_skill", + or "new_skill"/"old_skill"), each containing a list of run results. + """ + # Support both layouts: eval dirs directly under benchmark_dir, or under runs/ + runs_dir = benchmark_dir / "runs" + if runs_dir.exists(): + search_dir = runs_dir + elif list(benchmark_dir.glob("eval-*")): + search_dir = benchmark_dir + else: + print(f"No eval directories found in {benchmark_dir} or {benchmark_dir / 'runs'}") + return {} + + results: dict[str, list] = {} + + for eval_idx, eval_dir in enumerate(sorted(search_dir.glob("eval-*"))): + metadata_path = eval_dir / "eval_metadata.json" + if metadata_path.exists(): + try: + with open(metadata_path) as mf: + eval_id = json.load(mf).get("eval_id", eval_idx) + except (json.JSONDecodeError, OSError): + eval_id = eval_idx + else: + try: + eval_id = int(eval_dir.name.split("-")[1]) + except ValueError: + eval_id = eval_idx + + # Discover config directories dynamically rather than hardcoding names + for config_dir in sorted(eval_dir.iterdir()): + if not config_dir.is_dir(): + continue + # Skip non-config directories (inputs, outputs, etc.) + if not list(config_dir.glob("run-*")): + continue + config = config_dir.name + if config not in results: + results[config] = [] + + for run_dir in sorted(config_dir.glob("run-*")): + run_number = int(run_dir.name.split("-")[1]) + grading_file = run_dir / "grading.json" + + if not grading_file.exists(): + print(f"Warning: grading.json not found in {run_dir}") + continue + + try: + with open(grading_file) as f: + grading = json.load(f) + except json.JSONDecodeError as e: + print(f"Warning: Invalid JSON in {grading_file}: {e}") + continue + + # Extract metrics + result = { + "eval_id": eval_id, + "run_number": run_number, + "pass_rate": grading.get("summary", {}).get("pass_rate", 0.0), + "passed": grading.get("summary", {}).get("passed", 0), + "failed": grading.get("summary", {}).get("failed", 0), + "total": grading.get("summary", {}).get("total", 0), + } + + # Extract timing — check grading.json first, then sibling timing.json + timing = grading.get("timing", {}) + result["time_seconds"] = timing.get("total_duration_seconds", 0.0) + timing_file = run_dir / "timing.json" + if result["time_seconds"] == 0.0 and timing_file.exists(): + try: + with open(timing_file) as tf: + timing_data = json.load(tf) + result["time_seconds"] = timing_data.get("total_duration_seconds", 0.0) + result["tokens"] = timing_data.get("total_tokens", 0) + except json.JSONDecodeError: + pass + + # Extract metrics if available + metrics = grading.get("execution_metrics", {}) + result["tool_calls"] = metrics.get("total_tool_calls", 0) + if not result.get("tokens"): + result["tokens"] = metrics.get("output_chars", 0) + result["errors"] = metrics.get("errors_encountered", 0) + + # Extract expectations — viewer requires fields: text, passed, evidence + raw_expectations = grading.get("expectations", []) + for exp in raw_expectations: + if "text" not in exp or "passed" not in exp: + print(f"Warning: expectation in {grading_file} missing required fields (text, passed, evidence): {exp}") + result["expectations"] = raw_expectations + + # Extract notes from user_notes_summary + notes_summary = grading.get("user_notes_summary", {}) + notes = [] + notes.extend(notes_summary.get("uncertainties", [])) + notes.extend(notes_summary.get("needs_review", [])) + notes.extend(notes_summary.get("workarounds", [])) + result["notes"] = notes + + results[config].append(result) + + return results + + +def aggregate_results(results: dict) -> dict: + """ + Aggregate run results into summary statistics. + + Returns run_summary with stats for each configuration and delta. + """ + run_summary = {} + configs = list(results.keys()) + + for config in configs: + runs = results.get(config, []) + + if not runs: + run_summary[config] = { + "pass_rate": {"mean": 0.0, "stddev": 0.0, "min": 0.0, "max": 0.0}, + "time_seconds": {"mean": 0.0, "stddev": 0.0, "min": 0.0, "max": 0.0}, + "tokens": {"mean": 0, "stddev": 0, "min": 0, "max": 0} + } + continue + + pass_rates = [r["pass_rate"] for r in runs] + times = [r["time_seconds"] for r in runs] + tokens = [r.get("tokens", 0) for r in runs] + + run_summary[config] = { + "pass_rate": calculate_stats(pass_rates), + "time_seconds": calculate_stats(times), + "tokens": calculate_stats(tokens) + } + + # Calculate delta between the first two configs (if two exist) + if len(configs) >= 2: + primary = run_summary.get(configs[0], {}) + baseline = run_summary.get(configs[1], {}) + else: + primary = run_summary.get(configs[0], {}) if configs else {} + baseline = {} + + delta_pass_rate = primary.get("pass_rate", {}).get("mean", 0) - baseline.get("pass_rate", {}).get("mean", 0) + delta_time = primary.get("time_seconds", {}).get("mean", 0) - baseline.get("time_seconds", {}).get("mean", 0) + delta_tokens = primary.get("tokens", {}).get("mean", 0) - baseline.get("tokens", {}).get("mean", 0) + + run_summary["delta"] = { + "pass_rate": f"{delta_pass_rate:+.2f}", + "time_seconds": f"{delta_time:+.1f}", + "tokens": f"{delta_tokens:+.0f}" + } + + return run_summary + + +def generate_benchmark(benchmark_dir: Path, skill_name: str = "", skill_path: str = "") -> dict: + """ + Generate complete benchmark.json from run results. + """ + results = load_run_results(benchmark_dir) + run_summary = aggregate_results(results) + + # Build runs array for benchmark.json + runs = [] + for config in results: + for result in results[config]: + runs.append({ + "eval_id": result["eval_id"], + "configuration": config, + "run_number": result["run_number"], + "result": { + "pass_rate": result["pass_rate"], + "passed": result["passed"], + "failed": result["failed"], + "total": result["total"], + "time_seconds": result["time_seconds"], + "tokens": result.get("tokens", 0), + "tool_calls": result.get("tool_calls", 0), + "errors": result.get("errors", 0) + }, + "expectations": result["expectations"], + "notes": result["notes"] + }) + + # Determine eval IDs from results + eval_ids = sorted(set( + r["eval_id"] + for config in results.values() + for r in config + )) + + benchmark = { + "metadata": { + "skill_name": skill_name or "", + "skill_path": skill_path or "", + "executor_model": "", + "analyzer_model": "", + "timestamp": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"), + "evals_run": eval_ids, + "runs_per_configuration": 3 + }, + "runs": runs, + "run_summary": run_summary, + "notes": [] # To be filled by analyzer + } + + return benchmark + + +def generate_markdown(benchmark: dict) -> str: + """Generate human-readable benchmark.md from benchmark data.""" + metadata = benchmark["metadata"] + run_summary = benchmark["run_summary"] + + # Determine config names (excluding "delta") + configs = [k for k in run_summary if k != "delta"] + config_a = configs[0] if len(configs) >= 1 else "config_a" + config_b = configs[1] if len(configs) >= 2 else "config_b" + label_a = config_a.replace("_", " ").title() + label_b = config_b.replace("_", " ").title() + + lines = [ + f"# Skill Benchmark: {metadata['skill_name']}", + "", + f"**Model**: {metadata['executor_model']}", + f"**Date**: {metadata['timestamp']}", + f"**Evals**: {', '.join(map(str, metadata['evals_run']))} ({metadata['runs_per_configuration']} runs each per configuration)", + "", + "## Summary", + "", + f"| Metric | {label_a} | {label_b} | Delta |", + "|--------|------------|---------------|-------|", + ] + + a_summary = run_summary.get(config_a, {}) + b_summary = run_summary.get(config_b, {}) + delta = run_summary.get("delta", {}) + + # Format pass rate + a_pr = a_summary.get("pass_rate", {}) + b_pr = b_summary.get("pass_rate", {}) + lines.append(f"| Pass Rate | {a_pr.get('mean', 0)*100:.0f}% ± {a_pr.get('stddev', 0)*100:.0f}% | {b_pr.get('mean', 0)*100:.0f}% ± {b_pr.get('stddev', 0)*100:.0f}% | {delta.get('pass_rate', '—')} |") + + # Format time + a_time = a_summary.get("time_seconds", {}) + b_time = b_summary.get("time_seconds", {}) + lines.append(f"| Time | {a_time.get('mean', 0):.1f}s ± {a_time.get('stddev', 0):.1f}s | {b_time.get('mean', 0):.1f}s ± {b_time.get('stddev', 0):.1f}s | {delta.get('time_seconds', '—')}s |") + + # Format tokens + a_tokens = a_summary.get("tokens", {}) + b_tokens = b_summary.get("tokens", {}) + lines.append(f"| Tokens | {a_tokens.get('mean', 0):.0f} ± {a_tokens.get('stddev', 0):.0f} | {b_tokens.get('mean', 0):.0f} ± {b_tokens.get('stddev', 0):.0f} | {delta.get('tokens', '—')} |") + + # Notes section + if benchmark.get("notes"): + lines.extend([ + "", + "## Notes", + "" + ]) + for note in benchmark["notes"]: + lines.append(f"- {note}") + + return "\n".join(lines) + + +def main(): + parser = argparse.ArgumentParser( + description="Aggregate benchmark run results into summary statistics" + ) + parser.add_argument( + "benchmark_dir", + type=Path, + help="Path to the benchmark directory" + ) + parser.add_argument( + "--skill-name", + default="", + help="Name of the skill being benchmarked" + ) + parser.add_argument( + "--skill-path", + default="", + help="Path to the skill being benchmarked" + ) + parser.add_argument( + "--output", "-o", + type=Path, + help="Output path for benchmark.json (default: /benchmark.json)" + ) + + args = parser.parse_args() + + if not args.benchmark_dir.exists(): + print(f"Directory not found: {args.benchmark_dir}") + sys.exit(1) + + # Generate benchmark + benchmark = generate_benchmark(args.benchmark_dir, args.skill_name, args.skill_path) + + # Determine output paths + output_json = args.output or (args.benchmark_dir / "benchmark.json") + output_md = output_json.with_suffix(".md") + + # Write benchmark.json + with open(output_json, "w") as f: + json.dump(benchmark, f, indent=2) + print(f"Generated: {output_json}") + + # Write benchmark.md + markdown = generate_markdown(benchmark) + with open(output_md, "w") as f: + f.write(markdown) + print(f"Generated: {output_md}") + + # Print summary + run_summary = benchmark["run_summary"] + configs = [k for k in run_summary if k != "delta"] + delta = run_summary.get("delta", {}) + + print(f"\nSummary:") + for config in configs: + pr = run_summary[config]["pass_rate"]["mean"] + label = config.replace("_", " ").title() + print(f" {label}: {pr*100:.1f}% pass rate") + print(f" Delta: {delta.get('pass_rate', '—')}") + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/skill-creator/scripts/generate_report.py b/.agents/skills/skill-creator/scripts/generate_report.py new file mode 100644 index 0000000..959e30a --- /dev/null +++ b/.agents/skills/skill-creator/scripts/generate_report.py @@ -0,0 +1,326 @@ +#!/usr/bin/env python3 +"""Generate an HTML report from run_loop.py output. + +Takes the JSON output from run_loop.py and generates a visual HTML report +showing each description attempt with check/x for each test case. +Distinguishes between train and test queries. +""" + +import argparse +import html +import json +import sys +from pathlib import Path + + +def generate_html(data: dict, auto_refresh: bool = False, skill_name: str = "") -> str: + """Generate HTML report from loop output data. If auto_refresh is True, adds a meta refresh tag.""" + history = data.get("history", []) + holdout = data.get("holdout", 0) + title_prefix = html.escape(skill_name + " \u2014 ") if skill_name else "" + + # Get all unique queries from train and test sets, with should_trigger info + train_queries: list[dict] = [] + test_queries: list[dict] = [] + if history: + for r in history[0].get("train_results", history[0].get("results", [])): + train_queries.append({"query": r["query"], "should_trigger": r.get("should_trigger", True)}) + if history[0].get("test_results"): + for r in history[0].get("test_results", []): + test_queries.append({"query": r["query"], "should_trigger": r.get("should_trigger", True)}) + + refresh_tag = ' \n' if auto_refresh else "" + + html_parts = [""" + + + +""" + refresh_tag + """ """ + title_prefix + """Skill Description Optimization + + + + + + +

""" + title_prefix + """Skill Description Optimization

+
+ Optimizing your skill's description. This page updates automatically as Claude tests different versions of your skill's description. Each row is an iteration — a new description attempt. The columns show test queries: green checkmarks mean the skill triggered correctly (or correctly didn't trigger), red crosses mean it got it wrong. The "Train" score shows performance on queries used to improve the description; the "Test" score shows performance on held-out queries the optimizer hasn't seen. When it's done, Claude will apply the best-performing description to your skill. +
+"""] + + # Summary section + best_test_score = data.get('best_test_score') + best_train_score = data.get('best_train_score') + html_parts.append(f""" +
+

Original: {html.escape(data.get('original_description', 'N/A'))}

+

Best: {html.escape(data.get('best_description', 'N/A'))}

+

Best Score: {data.get('best_score', 'N/A')} {'(test)' if best_test_score else '(train)'}

+

Iterations: {data.get('iterations_run', 0)} | Train: {data.get('train_size', '?')} | Test: {data.get('test_size', '?')}

+
+""") + + # Legend + html_parts.append(""" +
+ Query columns: + Should trigger + Should NOT trigger + Train + Test +
+""") + + # Table header + html_parts.append(""" +
+ + + + + + + +""") + + # Add column headers for train queries + for qinfo in train_queries: + polarity = "positive-col" if qinfo["should_trigger"] else "negative-col" + html_parts.append(f' \n') + + # Add column headers for test queries (different color) + for qinfo in test_queries: + polarity = "positive-col" if qinfo["should_trigger"] else "negative-col" + html_parts.append(f' \n') + + html_parts.append(""" + + +""") + + # Find best iteration for highlighting + if test_queries: + best_iter = max(history, key=lambda h: h.get("test_passed") or 0).get("iteration") + else: + best_iter = max(history, key=lambda h: h.get("train_passed", h.get("passed", 0))).get("iteration") + + # Add rows for each iteration + for h in history: + iteration = h.get("iteration", "?") + train_passed = h.get("train_passed", h.get("passed", 0)) + train_total = h.get("train_total", h.get("total", 0)) + test_passed = h.get("test_passed") + test_total = h.get("test_total") + description = h.get("description", "") + train_results = h.get("train_results", h.get("results", [])) + test_results = h.get("test_results", []) + + # Create lookups for results by query + train_by_query = {r["query"]: r for r in train_results} + test_by_query = {r["query"]: r for r in test_results} if test_results else {} + + # Compute aggregate correct/total runs across all retries + def aggregate_runs(results: list[dict]) -> tuple[int, int]: + correct = 0 + total = 0 + for r in results: + runs = r.get("runs", 0) + triggers = r.get("triggers", 0) + total += runs + if r.get("should_trigger", True): + correct += triggers + else: + correct += runs - triggers + return correct, total + + train_correct, train_runs = aggregate_runs(train_results) + test_correct, test_runs = aggregate_runs(test_results) + + # Determine score classes + def score_class(correct: int, total: int) -> str: + if total > 0: + ratio = correct / total + if ratio >= 0.8: + return "score-good" + elif ratio >= 0.5: + return "score-ok" + return "score-bad" + + train_class = score_class(train_correct, train_runs) + test_class = score_class(test_correct, test_runs) + + row_class = "best-row" if iteration == best_iter else "" + + html_parts.append(f""" + + + + +""") + + # Add result for each train query + for qinfo in train_queries: + r = train_by_query.get(qinfo["query"], {}) + did_pass = r.get("pass", False) + triggers = r.get("triggers", 0) + runs = r.get("runs", 0) + + icon = "✓" if did_pass else "✗" + css_class = "pass" if did_pass else "fail" + + html_parts.append(f' \n') + + # Add result for each test query (with different background) + for qinfo in test_queries: + r = test_by_query.get(qinfo["query"], {}) + did_pass = r.get("pass", False) + triggers = r.get("triggers", 0) + runs = r.get("runs", 0) + + icon = "✓" if did_pass else "✗" + css_class = "pass" if did_pass else "fail" + + html_parts.append(f' \n') + + html_parts.append(" \n") + + html_parts.append(""" +
IterTrainTestDescription{html.escape(qinfo["query"])}{html.escape(qinfo["query"])}
{iteration}{train_correct}/{train_runs}{test_correct}/{test_runs}{html.escape(description)}{icon}{triggers}/{runs}{icon}{triggers}/{runs}
+
+""") + + html_parts.append(""" + + +""") + + return "".join(html_parts) + + +def main(): + parser = argparse.ArgumentParser(description="Generate HTML report from run_loop output") + parser.add_argument("input", help="Path to JSON output from run_loop.py (or - for stdin)") + parser.add_argument("-o", "--output", default=None, help="Output HTML file (default: stdout)") + parser.add_argument("--skill-name", default="", help="Skill name to include in the report title") + args = parser.parse_args() + + if args.input == "-": + data = json.load(sys.stdin) + else: + data = json.loads(Path(args.input).read_text()) + + html_output = generate_html(data, skill_name=args.skill_name) + + if args.output: + Path(args.output).write_text(html_output) + print(f"Report written to {args.output}", file=sys.stderr) + else: + print(html_output) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/skill-creator/scripts/improve_description.py b/.agents/skills/skill-creator/scripts/improve_description.py new file mode 100644 index 0000000..06bcec7 --- /dev/null +++ b/.agents/skills/skill-creator/scripts/improve_description.py @@ -0,0 +1,247 @@ +#!/usr/bin/env python3 +"""Improve a skill description based on eval results. + +Takes eval results (from run_eval.py) and generates an improved description +by calling `claude -p` as a subprocess (same auth pattern as run_eval.py — +uses the session's Claude Code auth, no separate ANTHROPIC_API_KEY needed). +""" + +import argparse +import json +import os +import re +import subprocess +import sys +from pathlib import Path + +from scripts.utils import parse_skill_md + + +def _call_claude(prompt: str, model: str | None, timeout: int = 300) -> str: + """Run `claude -p` with the prompt on stdin and return the text response. + + Prompt goes over stdin (not argv) because it embeds the full SKILL.md + body and can easily exceed comfortable argv length. + """ + cmd = ["claude", "-p", "--output-format", "text"] + if model: + cmd.extend(["--model", model]) + + # Remove CLAUDECODE env var to allow nesting claude -p inside a + # Claude Code session. The guard is for interactive terminal conflicts; + # programmatic subprocess usage is safe. Same pattern as run_eval.py. + env = {k: v for k, v in os.environ.items() if k != "CLAUDECODE"} + + result = subprocess.run( + cmd, + input=prompt, + capture_output=True, + text=True, + env=env, + timeout=timeout, + ) + if result.returncode != 0: + raise RuntimeError( + f"claude -p exited {result.returncode}\nstderr: {result.stderr}" + ) + return result.stdout + + +def improve_description( + skill_name: str, + skill_content: str, + current_description: str, + eval_results: dict, + history: list[dict], + model: str, + test_results: dict | None = None, + log_dir: Path | None = None, + iteration: int | None = None, +) -> str: + """Call Claude to improve the description based on eval results.""" + failed_triggers = [ + r for r in eval_results["results"] + if r["should_trigger"] and not r["pass"] + ] + false_triggers = [ + r for r in eval_results["results"] + if not r["should_trigger"] and not r["pass"] + ] + + # Build scores summary + train_score = f"{eval_results['summary']['passed']}/{eval_results['summary']['total']}" + if test_results: + test_score = f"{test_results['summary']['passed']}/{test_results['summary']['total']}" + scores_summary = f"Train: {train_score}, Test: {test_score}" + else: + scores_summary = f"Train: {train_score}" + + prompt = f"""You are optimizing a skill description for a Claude Code skill called "{skill_name}". A "skill" is sort of like a prompt, but with progressive disclosure -- there's a title and description that Claude sees when deciding whether to use the skill, and then if it does use the skill, it reads the .md file which has lots more details and potentially links to other resources in the skill folder like helper files and scripts and additional documentation or examples. + +The description appears in Claude's "available_skills" list. When a user sends a query, Claude decides whether to invoke the skill based solely on the title and on this description. Your goal is to write a description that triggers for relevant queries, and doesn't trigger for irrelevant ones. + +Here's the current description: + +"{current_description}" + + +Current scores ({scores_summary}): + +""" + if failed_triggers: + prompt += "FAILED TO TRIGGER (should have triggered but didn't):\n" + for r in failed_triggers: + prompt += f' - "{r["query"]}" (triggered {r["triggers"]}/{r["runs"]} times)\n' + prompt += "\n" + + if false_triggers: + prompt += "FALSE TRIGGERS (triggered but shouldn't have):\n" + for r in false_triggers: + prompt += f' - "{r["query"]}" (triggered {r["triggers"]}/{r["runs"]} times)\n' + prompt += "\n" + + if history: + prompt += "PREVIOUS ATTEMPTS (do NOT repeat these — try something structurally different):\n\n" + for h in history: + train_s = f"{h.get('train_passed', h.get('passed', 0))}/{h.get('train_total', h.get('total', 0))}" + test_s = f"{h.get('test_passed', '?')}/{h.get('test_total', '?')}" if h.get('test_passed') is not None else None + score_str = f"train={train_s}" + (f", test={test_s}" if test_s else "") + prompt += f'\n' + prompt += f'Description: "{h["description"]}"\n' + if "results" in h: + prompt += "Train results:\n" + for r in h["results"]: + status = "PASS" if r["pass"] else "FAIL" + prompt += f' [{status}] "{r["query"][:80]}" (triggered {r["triggers"]}/{r["runs"]})\n' + if h.get("note"): + prompt += f'Note: {h["note"]}\n' + prompt += "\n\n" + + prompt += f""" + +Skill content (for context on what the skill does): + +{skill_content} + + +Based on the failures, write a new and improved description that is more likely to trigger correctly. When I say "based on the failures", it's a bit of a tricky line to walk because we don't want to overfit to the specific cases you're seeing. So what I DON'T want you to do is produce an ever-expanding list of specific queries that this skill should or shouldn't trigger for. Instead, try to generalize from the failures to broader categories of user intent and situations where this skill would be useful or not useful. The reason for this is twofold: + +1. Avoid overfitting +2. The list might get loooong and it's injected into ALL queries and there might be a lot of skills, so we don't want to blow too much space on any given description. + +Concretely, your description should not be more than about 100-200 words, even if that comes at the cost of accuracy. There is a hard limit of 1024 characters — descriptions over that will be truncated, so stay comfortably under it. + +Here are some tips that we've found to work well in writing these descriptions: +- The skill should be phrased in the imperative -- "Use this skill for" rather than "this skill does" +- The skill description should focus on the user's intent, what they are trying to achieve, vs. the implementation details of how the skill works. +- The description competes with other skills for Claude's attention — make it distinctive and immediately recognizable. +- If you're getting lots of failures after repeated attempts, change things up. Try different sentence structures or wordings. + +I'd encourage you to be creative and mix up the style in different iterations since you'll have multiple opportunities to try different approaches and we'll just grab the highest-scoring one at the end. + +Please respond with only the new description text in tags, nothing else.""" + + text = _call_claude(prompt, model) + + match = re.search(r"(.*?)", text, re.DOTALL) + description = match.group(1).strip().strip('"') if match else text.strip().strip('"') + + transcript: dict = { + "iteration": iteration, + "prompt": prompt, + "response": text, + "parsed_description": description, + "char_count": len(description), + "over_limit": len(description) > 1024, + } + + # Safety net: the prompt already states the 1024-char hard limit, but if + # the model blew past it anyway, make one fresh single-turn call that + # quotes the too-long version and asks for a shorter rewrite. (The old + # SDK path did this as a true multi-turn; `claude -p` is one-shot, so we + # inline the prior output into the new prompt instead.) + if len(description) > 1024: + shorten_prompt = ( + f"{prompt}\n\n" + f"---\n\n" + f"A previous attempt produced this description, which at " + f"{len(description)} characters is over the 1024-character hard limit:\n\n" + f'"{description}"\n\n' + f"Rewrite it to be under 1024 characters while keeping the most " + f"important trigger words and intent coverage. Respond with only " + f"the new description in tags." + ) + shorten_text = _call_claude(shorten_prompt, model) + match = re.search(r"(.*?)", shorten_text, re.DOTALL) + shortened = match.group(1).strip().strip('"') if match else shorten_text.strip().strip('"') + + transcript["rewrite_prompt"] = shorten_prompt + transcript["rewrite_response"] = shorten_text + transcript["rewrite_description"] = shortened + transcript["rewrite_char_count"] = len(shortened) + description = shortened + + transcript["final_description"] = description + + if log_dir: + log_dir.mkdir(parents=True, exist_ok=True) + log_file = log_dir / f"improve_iter_{iteration or 'unknown'}.json" + log_file.write_text(json.dumps(transcript, indent=2)) + + return description + + +def main(): + parser = argparse.ArgumentParser(description="Improve a skill description based on eval results") + parser.add_argument("--eval-results", required=True, help="Path to eval results JSON (from run_eval.py)") + parser.add_argument("--skill-path", required=True, help="Path to skill directory") + parser.add_argument("--history", default=None, help="Path to history JSON (previous attempts)") + parser.add_argument("--model", required=True, help="Model for improvement") + parser.add_argument("--verbose", action="store_true", help="Print thinking to stderr") + args = parser.parse_args() + + skill_path = Path(args.skill_path) + if not (skill_path / "SKILL.md").exists(): + print(f"Error: No SKILL.md found at {skill_path}", file=sys.stderr) + sys.exit(1) + + eval_results = json.loads(Path(args.eval_results).read_text()) + history = [] + if args.history: + history = json.loads(Path(args.history).read_text()) + + name, _, content = parse_skill_md(skill_path) + current_description = eval_results["description"] + + if args.verbose: + print(f"Current: {current_description}", file=sys.stderr) + print(f"Score: {eval_results['summary']['passed']}/{eval_results['summary']['total']}", file=sys.stderr) + + new_description = improve_description( + skill_name=name, + skill_content=content, + current_description=current_description, + eval_results=eval_results, + history=history, + model=args.model, + ) + + if args.verbose: + print(f"Improved: {new_description}", file=sys.stderr) + + # Output as JSON with both the new description and updated history + output = { + "description": new_description, + "history": history + [{ + "description": current_description, + "passed": eval_results["summary"]["passed"], + "failed": eval_results["summary"]["failed"], + "total": eval_results["summary"]["total"], + "results": eval_results["results"], + }], + } + print(json.dumps(output, indent=2)) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/skill-creator/scripts/package_skill.py b/.agents/skills/skill-creator/scripts/package_skill.py new file mode 100644 index 0000000..f48eac4 --- /dev/null +++ b/.agents/skills/skill-creator/scripts/package_skill.py @@ -0,0 +1,136 @@ +#!/usr/bin/env python3 +""" +Skill Packager - Creates a distributable .skill file of a skill folder + +Usage: + python utils/package_skill.py [output-directory] + +Example: + python utils/package_skill.py skills/public/my-skill + python utils/package_skill.py skills/public/my-skill ./dist +""" + +import fnmatch +import sys +import zipfile +from pathlib import Path +from scripts.quick_validate import validate_skill + +# Patterns to exclude when packaging skills. +EXCLUDE_DIRS = {"__pycache__", "node_modules"} +EXCLUDE_GLOBS = {"*.pyc"} +EXCLUDE_FILES = {".DS_Store"} +# Directories excluded only at the skill root (not when nested deeper). +ROOT_EXCLUDE_DIRS = {"evals"} + + +def should_exclude(rel_path: Path) -> bool: + """Check if a path should be excluded from packaging.""" + parts = rel_path.parts + if any(part in EXCLUDE_DIRS for part in parts): + return True + # rel_path is relative to skill_path.parent, so parts[0] is the skill + # folder name and parts[1] (if present) is the first subdir. + if len(parts) > 1 and parts[1] in ROOT_EXCLUDE_DIRS: + return True + name = rel_path.name + if name in EXCLUDE_FILES: + return True + return any(fnmatch.fnmatch(name, pat) for pat in EXCLUDE_GLOBS) + + +def package_skill(skill_path, output_dir=None): + """ + Package a skill folder into a .skill file. + + Args: + skill_path: Path to the skill folder + output_dir: Optional output directory for the .skill file (defaults to current directory) + + Returns: + Path to the created .skill file, or None if error + """ + skill_path = Path(skill_path).resolve() + + # Validate skill folder exists + if not skill_path.exists(): + print(f"❌ Error: Skill folder not found: {skill_path}") + return None + + if not skill_path.is_dir(): + print(f"❌ Error: Path is not a directory: {skill_path}") + return None + + # Validate SKILL.md exists + skill_md = skill_path / "SKILL.md" + if not skill_md.exists(): + print(f"❌ Error: SKILL.md not found in {skill_path}") + return None + + # Run validation before packaging + print("🔍 Validating skill...") + valid, message = validate_skill(skill_path) + if not valid: + print(f"❌ Validation failed: {message}") + print(" Please fix the validation errors before packaging.") + return None + print(f"✅ {message}\n") + + # Determine output location + skill_name = skill_path.name + if output_dir: + output_path = Path(output_dir).resolve() + output_path.mkdir(parents=True, exist_ok=True) + else: + output_path = Path.cwd() + + skill_filename = output_path / f"{skill_name}.skill" + + # Create the .skill file (zip format) + try: + with zipfile.ZipFile(skill_filename, 'w', zipfile.ZIP_DEFLATED) as zipf: + # Walk through the skill directory, excluding build artifacts + for file_path in skill_path.rglob('*'): + if not file_path.is_file(): + continue + arcname = file_path.relative_to(skill_path.parent) + if should_exclude(arcname): + print(f" Skipped: {arcname}") + continue + zipf.write(file_path, arcname) + print(f" Added: {arcname}") + + print(f"\n✅ Successfully packaged skill to: {skill_filename}") + return skill_filename + + except Exception as e: + print(f"❌ Error creating .skill file: {e}") + return None + + +def main(): + if len(sys.argv) < 2: + print("Usage: python utils/package_skill.py [output-directory]") + print("\nExample:") + print(" python utils/package_skill.py skills/public/my-skill") + print(" python utils/package_skill.py skills/public/my-skill ./dist") + sys.exit(1) + + skill_path = sys.argv[1] + output_dir = sys.argv[2] if len(sys.argv) > 2 else None + + print(f"📦 Packaging skill: {skill_path}") + if output_dir: + print(f" Output directory: {output_dir}") + print() + + result = package_skill(skill_path, output_dir) + + if result: + sys.exit(0) + else: + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/skill-creator/scripts/quick_validate.py b/.agents/skills/skill-creator/scripts/quick_validate.py new file mode 100644 index 0000000..ed8e1dd --- /dev/null +++ b/.agents/skills/skill-creator/scripts/quick_validate.py @@ -0,0 +1,103 @@ +#!/usr/bin/env python3 +""" +Quick validation script for skills - minimal version +""" + +import sys +import os +import re +import yaml +from pathlib import Path + +def validate_skill(skill_path): + """Basic validation of a skill""" + skill_path = Path(skill_path) + + # Check SKILL.md exists + skill_md = skill_path / 'SKILL.md' + if not skill_md.exists(): + return False, "SKILL.md not found" + + # Read and validate frontmatter + content = skill_md.read_text() + if not content.startswith('---'): + return False, "No YAML frontmatter found" + + # Extract frontmatter + match = re.match(r'^---\n(.*?)\n---', content, re.DOTALL) + if not match: + return False, "Invalid frontmatter format" + + frontmatter_text = match.group(1) + + # Parse YAML frontmatter + try: + frontmatter = yaml.safe_load(frontmatter_text) + if not isinstance(frontmatter, dict): + return False, "Frontmatter must be a YAML dictionary" + except yaml.YAMLError as e: + return False, f"Invalid YAML in frontmatter: {e}" + + # Define allowed properties + ALLOWED_PROPERTIES = {'name', 'description', 'license', 'allowed-tools', 'metadata', 'compatibility'} + + # Check for unexpected properties (excluding nested keys under metadata) + unexpected_keys = set(frontmatter.keys()) - ALLOWED_PROPERTIES + if unexpected_keys: + return False, ( + f"Unexpected key(s) in SKILL.md frontmatter: {', '.join(sorted(unexpected_keys))}. " + f"Allowed properties are: {', '.join(sorted(ALLOWED_PROPERTIES))}" + ) + + # Check required fields + if 'name' not in frontmatter: + return False, "Missing 'name' in frontmatter" + if 'description' not in frontmatter: + return False, "Missing 'description' in frontmatter" + + # Extract name for validation + name = frontmatter.get('name', '') + if not isinstance(name, str): + return False, f"Name must be a string, got {type(name).__name__}" + name = name.strip() + if name: + # Check naming convention (kebab-case: lowercase with hyphens) + if not re.match(r'^[a-z0-9-]+$', name): + return False, f"Name '{name}' should be kebab-case (lowercase letters, digits, and hyphens only)" + if name.startswith('-') or name.endswith('-') or '--' in name: + return False, f"Name '{name}' cannot start/end with hyphen or contain consecutive hyphens" + # Check name length (max 64 characters per spec) + if len(name) > 64: + return False, f"Name is too long ({len(name)} characters). Maximum is 64 characters." + + # Extract and validate description + description = frontmatter.get('description', '') + if not isinstance(description, str): + return False, f"Description must be a string, got {type(description).__name__}" + description = description.strip() + if description: + # Check for angle brackets + if '<' in description or '>' in description: + return False, "Description cannot contain angle brackets (< or >)" + # Check description length (max 1024 characters per spec) + if len(description) > 1024: + return False, f"Description is too long ({len(description)} characters). Maximum is 1024 characters." + + # Validate compatibility field if present (optional) + compatibility = frontmatter.get('compatibility', '') + if compatibility: + if not isinstance(compatibility, str): + return False, f"Compatibility must be a string, got {type(compatibility).__name__}" + if len(compatibility) > 500: + return False, f"Compatibility is too long ({len(compatibility)} characters). Maximum is 500 characters." + + return True, "Skill is valid!" + +if __name__ == "__main__": + if len(sys.argv) != 2: + print("Usage: python quick_validate.py ") + sys.exit(1) + + valid, message = validate_skill(sys.argv[1]) + print(message) + sys.exit(0 if valid else 1) \ No newline at end of file diff --git a/.agents/skills/skill-creator/scripts/run_eval.py b/.agents/skills/skill-creator/scripts/run_eval.py new file mode 100644 index 0000000..e58c70b --- /dev/null +++ b/.agents/skills/skill-creator/scripts/run_eval.py @@ -0,0 +1,310 @@ +#!/usr/bin/env python3 +"""Run trigger evaluation for a skill description. + +Tests whether a skill's description causes Claude to trigger (read the skill) +for a set of queries. Outputs results as JSON. +""" + +import argparse +import json +import os +import select +import subprocess +import sys +import time +import uuid +from concurrent.futures import ProcessPoolExecutor, as_completed +from pathlib import Path + +from scripts.utils import parse_skill_md + + +def find_project_root() -> Path: + """Find the project root by walking up from cwd looking for .claude/. + + Mimics how Claude Code discovers its project root, so the command file + we create ends up where claude -p will look for it. + """ + current = Path.cwd() + for parent in [current, *current.parents]: + if (parent / ".claude").is_dir(): + return parent + return current + + +def run_single_query( + query: str, + skill_name: str, + skill_description: str, + timeout: int, + project_root: str, + model: str | None = None, +) -> bool: + """Run a single query and return whether the skill was triggered. + + Creates a command file in .claude/commands/ so it appears in Claude's + available_skills list, then runs `claude -p` with the raw query. + Uses --include-partial-messages to detect triggering early from + stream events (content_block_start) rather than waiting for the + full assistant message, which only arrives after tool execution. + """ + unique_id = uuid.uuid4().hex[:8] + clean_name = f"{skill_name}-skill-{unique_id}" + project_commands_dir = Path(project_root) / ".claude" / "commands" + command_file = project_commands_dir / f"{clean_name}.md" + + try: + project_commands_dir.mkdir(parents=True, exist_ok=True) + # Use YAML block scalar to avoid breaking on quotes in description + indented_desc = "\n ".join(skill_description.split("\n")) + command_content = ( + f"---\n" + f"description: |\n" + f" {indented_desc}\n" + f"---\n\n" + f"# {skill_name}\n\n" + f"This skill handles: {skill_description}\n" + ) + command_file.write_text(command_content) + + cmd = [ + "claude", + "-p", query, + "--output-format", "stream-json", + "--verbose", + "--include-partial-messages", + ] + if model: + cmd.extend(["--model", model]) + + # Remove CLAUDECODE env var to allow nesting claude -p inside a + # Claude Code session. The guard is for interactive terminal conflicts; + # programmatic subprocess usage is safe. + env = {k: v for k, v in os.environ.items() if k != "CLAUDECODE"} + + process = subprocess.Popen( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.DEVNULL, + cwd=project_root, + env=env, + ) + + triggered = False + start_time = time.time() + buffer = "" + # Track state for stream event detection + pending_tool_name = None + accumulated_json = "" + + try: + while time.time() - start_time < timeout: + if process.poll() is not None: + remaining = process.stdout.read() + if remaining: + buffer += remaining.decode("utf-8", errors="replace") + break + + ready, _, _ = select.select([process.stdout], [], [], 1.0) + if not ready: + continue + + chunk = os.read(process.stdout.fileno(), 8192) + if not chunk: + break + buffer += chunk.decode("utf-8", errors="replace") + + while "\n" in buffer: + line, buffer = buffer.split("\n", 1) + line = line.strip() + if not line: + continue + + try: + event = json.loads(line) + except json.JSONDecodeError: + continue + + # Early detection via stream events + if event.get("type") == "stream_event": + se = event.get("event", {}) + se_type = se.get("type", "") + + if se_type == "content_block_start": + cb = se.get("content_block", {}) + if cb.get("type") == "tool_use": + tool_name = cb.get("name", "") + if tool_name in ("Skill", "Read"): + pending_tool_name = tool_name + accumulated_json = "" + else: + return False + + elif se_type == "content_block_delta" and pending_tool_name: + delta = se.get("delta", {}) + if delta.get("type") == "input_json_delta": + accumulated_json += delta.get("partial_json", "") + if clean_name in accumulated_json: + return True + + elif se_type in ("content_block_stop", "message_stop"): + if pending_tool_name: + return clean_name in accumulated_json + if se_type == "message_stop": + return False + + # Fallback: full assistant message + elif event.get("type") == "assistant": + message = event.get("message", {}) + for content_item in message.get("content", []): + if content_item.get("type") != "tool_use": + continue + tool_name = content_item.get("name", "") + tool_input = content_item.get("input", {}) + if tool_name == "Skill" and clean_name in tool_input.get("skill", ""): + triggered = True + elif tool_name == "Read" and clean_name in tool_input.get("file_path", ""): + triggered = True + return triggered + + elif event.get("type") == "result": + return triggered + finally: + # Clean up process on any exit path (return, exception, timeout) + if process.poll() is None: + process.kill() + process.wait() + + return triggered + finally: + if command_file.exists(): + command_file.unlink() + + +def run_eval( + eval_set: list[dict], + skill_name: str, + description: str, + num_workers: int, + timeout: int, + project_root: Path, + runs_per_query: int = 1, + trigger_threshold: float = 0.5, + model: str | None = None, +) -> dict: + """Run the full eval set and return results.""" + results = [] + + with ProcessPoolExecutor(max_workers=num_workers) as executor: + future_to_info = {} + for item in eval_set: + for run_idx in range(runs_per_query): + future = executor.submit( + run_single_query, + item["query"], + skill_name, + description, + timeout, + str(project_root), + model, + ) + future_to_info[future] = (item, run_idx) + + query_triggers: dict[str, list[bool]] = {} + query_items: dict[str, dict] = {} + for future in as_completed(future_to_info): + item, _ = future_to_info[future] + query = item["query"] + query_items[query] = item + if query not in query_triggers: + query_triggers[query] = [] + try: + query_triggers[query].append(future.result()) + except Exception as e: + print(f"Warning: query failed: {e}", file=sys.stderr) + query_triggers[query].append(False) + + for query, triggers in query_triggers.items(): + item = query_items[query] + trigger_rate = sum(triggers) / len(triggers) + should_trigger = item["should_trigger"] + if should_trigger: + did_pass = trigger_rate >= trigger_threshold + else: + did_pass = trigger_rate < trigger_threshold + results.append({ + "query": query, + "should_trigger": should_trigger, + "trigger_rate": trigger_rate, + "triggers": sum(triggers), + "runs": len(triggers), + "pass": did_pass, + }) + + passed = sum(1 for r in results if r["pass"]) + total = len(results) + + return { + "skill_name": skill_name, + "description": description, + "results": results, + "summary": { + "total": total, + "passed": passed, + "failed": total - passed, + }, + } + + +def main(): + parser = argparse.ArgumentParser(description="Run trigger evaluation for a skill description") + parser.add_argument("--eval-set", required=True, help="Path to eval set JSON file") + parser.add_argument("--skill-path", required=True, help="Path to skill directory") + parser.add_argument("--description", default=None, help="Override description to test") + parser.add_argument("--num-workers", type=int, default=10, help="Number of parallel workers") + parser.add_argument("--timeout", type=int, default=30, help="Timeout per query in seconds") + parser.add_argument("--runs-per-query", type=int, default=3, help="Number of runs per query") + parser.add_argument("--trigger-threshold", type=float, default=0.5, help="Trigger rate threshold") + parser.add_argument("--model", default=None, help="Model to use for claude -p (default: user's configured model)") + parser.add_argument("--verbose", action="store_true", help="Print progress to stderr") + args = parser.parse_args() + + eval_set = json.loads(Path(args.eval_set).read_text()) + skill_path = Path(args.skill_path) + + if not (skill_path / "SKILL.md").exists(): + print(f"Error: No SKILL.md found at {skill_path}", file=sys.stderr) + sys.exit(1) + + name, original_description, content = parse_skill_md(skill_path) + description = args.description or original_description + project_root = find_project_root() + + if args.verbose: + print(f"Evaluating: {description}", file=sys.stderr) + + output = run_eval( + eval_set=eval_set, + skill_name=name, + description=description, + num_workers=args.num_workers, + timeout=args.timeout, + project_root=project_root, + runs_per_query=args.runs_per_query, + trigger_threshold=args.trigger_threshold, + model=args.model, + ) + + if args.verbose: + summary = output["summary"] + print(f"Results: {summary['passed']}/{summary['total']} passed", file=sys.stderr) + for r in output["results"]: + status = "PASS" if r["pass"] else "FAIL" + rate_str = f"{r['triggers']}/{r['runs']}" + print(f" [{status}] rate={rate_str} expected={r['should_trigger']}: {r['query'][:70]}", file=sys.stderr) + + print(json.dumps(output, indent=2)) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/skill-creator/scripts/run_loop.py b/.agents/skills/skill-creator/scripts/run_loop.py new file mode 100644 index 0000000..30a263d --- /dev/null +++ b/.agents/skills/skill-creator/scripts/run_loop.py @@ -0,0 +1,328 @@ +#!/usr/bin/env python3 +"""Run the eval + improve loop until all pass or max iterations reached. + +Combines run_eval.py and improve_description.py in a loop, tracking history +and returning the best description found. Supports train/test split to prevent +overfitting. +""" + +import argparse +import json +import random +import sys +import tempfile +import time +import webbrowser +from pathlib import Path + +from scripts.generate_report import generate_html +from scripts.improve_description import improve_description +from scripts.run_eval import find_project_root, run_eval +from scripts.utils import parse_skill_md + + +def split_eval_set(eval_set: list[dict], holdout: float, seed: int = 42) -> tuple[list[dict], list[dict]]: + """Split eval set into train and test sets, stratified by should_trigger.""" + random.seed(seed) + + # Separate by should_trigger + trigger = [e for e in eval_set if e["should_trigger"]] + no_trigger = [e for e in eval_set if not e["should_trigger"]] + + # Shuffle each group + random.shuffle(trigger) + random.shuffle(no_trigger) + + # Calculate split points + n_trigger_test = max(1, int(len(trigger) * holdout)) + n_no_trigger_test = max(1, int(len(no_trigger) * holdout)) + + # Split + test_set = trigger[:n_trigger_test] + no_trigger[:n_no_trigger_test] + train_set = trigger[n_trigger_test:] + no_trigger[n_no_trigger_test:] + + return train_set, test_set + + +def run_loop( + eval_set: list[dict], + skill_path: Path, + description_override: str | None, + num_workers: int, + timeout: int, + max_iterations: int, + runs_per_query: int, + trigger_threshold: float, + holdout: float, + model: str, + verbose: bool, + live_report_path: Path | None = None, + log_dir: Path | None = None, +) -> dict: + """Run the eval + improvement loop.""" + project_root = find_project_root() + name, original_description, content = parse_skill_md(skill_path) + current_description = description_override or original_description + + # Split into train/test if holdout > 0 + if holdout > 0: + train_set, test_set = split_eval_set(eval_set, holdout) + if verbose: + print(f"Split: {len(train_set)} train, {len(test_set)} test (holdout={holdout})", file=sys.stderr) + else: + train_set = eval_set + test_set = [] + + history = [] + exit_reason = "unknown" + + for iteration in range(1, max_iterations + 1): + if verbose: + print(f"\n{'='*60}", file=sys.stderr) + print(f"Iteration {iteration}/{max_iterations}", file=sys.stderr) + print(f"Description: {current_description}", file=sys.stderr) + print(f"{'='*60}", file=sys.stderr) + + # Evaluate train + test together in one batch for parallelism + all_queries = train_set + test_set + t0 = time.time() + all_results = run_eval( + eval_set=all_queries, + skill_name=name, + description=current_description, + num_workers=num_workers, + timeout=timeout, + project_root=project_root, + runs_per_query=runs_per_query, + trigger_threshold=trigger_threshold, + model=model, + ) + eval_elapsed = time.time() - t0 + + # Split results back into train/test by matching queries + train_queries_set = {q["query"] for q in train_set} + train_result_list = [r for r in all_results["results"] if r["query"] in train_queries_set] + test_result_list = [r for r in all_results["results"] if r["query"] not in train_queries_set] + + train_passed = sum(1 for r in train_result_list if r["pass"]) + train_total = len(train_result_list) + train_summary = {"passed": train_passed, "failed": train_total - train_passed, "total": train_total} + train_results = {"results": train_result_list, "summary": train_summary} + + if test_set: + test_passed = sum(1 for r in test_result_list if r["pass"]) + test_total = len(test_result_list) + test_summary = {"passed": test_passed, "failed": test_total - test_passed, "total": test_total} + test_results = {"results": test_result_list, "summary": test_summary} + else: + test_results = None + test_summary = None + + history.append({ + "iteration": iteration, + "description": current_description, + "train_passed": train_summary["passed"], + "train_failed": train_summary["failed"], + "train_total": train_summary["total"], + "train_results": train_results["results"], + "test_passed": test_summary["passed"] if test_summary else None, + "test_failed": test_summary["failed"] if test_summary else None, + "test_total": test_summary["total"] if test_summary else None, + "test_results": test_results["results"] if test_results else None, + # For backward compat with report generator + "passed": train_summary["passed"], + "failed": train_summary["failed"], + "total": train_summary["total"], + "results": train_results["results"], + }) + + # Write live report if path provided + if live_report_path: + partial_output = { + "original_description": original_description, + "best_description": current_description, + "best_score": "in progress", + "iterations_run": len(history), + "holdout": holdout, + "train_size": len(train_set), + "test_size": len(test_set), + "history": history, + } + live_report_path.write_text(generate_html(partial_output, auto_refresh=True, skill_name=name)) + + if verbose: + def print_eval_stats(label, results, elapsed): + pos = [r for r in results if r["should_trigger"]] + neg = [r for r in results if not r["should_trigger"]] + tp = sum(r["triggers"] for r in pos) + pos_runs = sum(r["runs"] for r in pos) + fn = pos_runs - tp + fp = sum(r["triggers"] for r in neg) + neg_runs = sum(r["runs"] for r in neg) + tn = neg_runs - fp + total = tp + tn + fp + fn + precision = tp / (tp + fp) if (tp + fp) > 0 else 1.0 + recall = tp / (tp + fn) if (tp + fn) > 0 else 1.0 + accuracy = (tp + tn) / total if total > 0 else 0.0 + print(f"{label}: {tp+tn}/{total} correct, precision={precision:.0%} recall={recall:.0%} accuracy={accuracy:.0%} ({elapsed:.1f}s)", file=sys.stderr) + for r in results: + status = "PASS" if r["pass"] else "FAIL" + rate_str = f"{r['triggers']}/{r['runs']}" + print(f" [{status}] rate={rate_str} expected={r['should_trigger']}: {r['query'][:60]}", file=sys.stderr) + + print_eval_stats("Train", train_results["results"], eval_elapsed) + if test_summary: + print_eval_stats("Test ", test_results["results"], 0) + + if train_summary["failed"] == 0: + exit_reason = f"all_passed (iteration {iteration})" + if verbose: + print(f"\nAll train queries passed on iteration {iteration}!", file=sys.stderr) + break + + if iteration == max_iterations: + exit_reason = f"max_iterations ({max_iterations})" + if verbose: + print(f"\nMax iterations reached ({max_iterations}).", file=sys.stderr) + break + + # Improve the description based on train results + if verbose: + print(f"\nImproving description...", file=sys.stderr) + + t0 = time.time() + # Strip test scores from history so improvement model can't see them + blinded_history = [ + {k: v for k, v in h.items() if not k.startswith("test_")} + for h in history + ] + new_description = improve_description( + skill_name=name, + skill_content=content, + current_description=current_description, + eval_results=train_results, + history=blinded_history, + model=model, + log_dir=log_dir, + iteration=iteration, + ) + improve_elapsed = time.time() - t0 + + if verbose: + print(f"Proposed ({improve_elapsed:.1f}s): {new_description}", file=sys.stderr) + + current_description = new_description + + # Find the best iteration by TEST score (or train if no test set) + if test_set: + best = max(history, key=lambda h: h["test_passed"] or 0) + best_score = f"{best['test_passed']}/{best['test_total']}" + else: + best = max(history, key=lambda h: h["train_passed"]) + best_score = f"{best['train_passed']}/{best['train_total']}" + + if verbose: + print(f"\nExit reason: {exit_reason}", file=sys.stderr) + print(f"Best score: {best_score} (iteration {best['iteration']})", file=sys.stderr) + + return { + "exit_reason": exit_reason, + "original_description": original_description, + "best_description": best["description"], + "best_score": best_score, + "best_train_score": f"{best['train_passed']}/{best['train_total']}", + "best_test_score": f"{best['test_passed']}/{best['test_total']}" if test_set else None, + "final_description": current_description, + "iterations_run": len(history), + "holdout": holdout, + "train_size": len(train_set), + "test_size": len(test_set), + "history": history, + } + + +def main(): + parser = argparse.ArgumentParser(description="Run eval + improve loop") + parser.add_argument("--eval-set", required=True, help="Path to eval set JSON file") + parser.add_argument("--skill-path", required=True, help="Path to skill directory") + parser.add_argument("--description", default=None, help="Override starting description") + parser.add_argument("--num-workers", type=int, default=10, help="Number of parallel workers") + parser.add_argument("--timeout", type=int, default=30, help="Timeout per query in seconds") + parser.add_argument("--max-iterations", type=int, default=5, help="Max improvement iterations") + parser.add_argument("--runs-per-query", type=int, default=3, help="Number of runs per query") + parser.add_argument("--trigger-threshold", type=float, default=0.5, help="Trigger rate threshold") + parser.add_argument("--holdout", type=float, default=0.4, help="Fraction of eval set to hold out for testing (0 to disable)") + parser.add_argument("--model", required=True, help="Model for improvement") + parser.add_argument("--verbose", action="store_true", help="Print progress to stderr") + parser.add_argument("--report", default="auto", help="Generate HTML report at this path (default: 'auto' for temp file, 'none' to disable)") + parser.add_argument("--results-dir", default=None, help="Save all outputs (results.json, report.html, log.txt) to a timestamped subdirectory here") + args = parser.parse_args() + + eval_set = json.loads(Path(args.eval_set).read_text()) + skill_path = Path(args.skill_path) + + if not (skill_path / "SKILL.md").exists(): + print(f"Error: No SKILL.md found at {skill_path}", file=sys.stderr) + sys.exit(1) + + name, _, _ = parse_skill_md(skill_path) + + # Set up live report path + if args.report != "none": + if args.report == "auto": + timestamp = time.strftime("%Y%m%d_%H%M%S") + live_report_path = Path(tempfile.gettempdir()) / f"skill_description_report_{skill_path.name}_{timestamp}.html" + else: + live_report_path = Path(args.report) + # Open the report immediately so the user can watch + live_report_path.write_text("

Starting optimization loop...

") + webbrowser.open(str(live_report_path)) + else: + live_report_path = None + + # Determine output directory (create before run_loop so logs can be written) + if args.results_dir: + timestamp = time.strftime("%Y-%m-%d_%H%M%S") + results_dir = Path(args.results_dir) / timestamp + results_dir.mkdir(parents=True, exist_ok=True) + else: + results_dir = None + + log_dir = results_dir / "logs" if results_dir else None + + output = run_loop( + eval_set=eval_set, + skill_path=skill_path, + description_override=args.description, + num_workers=args.num_workers, + timeout=args.timeout, + max_iterations=args.max_iterations, + runs_per_query=args.runs_per_query, + trigger_threshold=args.trigger_threshold, + holdout=args.holdout, + model=args.model, + verbose=args.verbose, + live_report_path=live_report_path, + log_dir=log_dir, + ) + + # Save JSON output + json_output = json.dumps(output, indent=2) + print(json_output) + if results_dir: + (results_dir / "results.json").write_text(json_output) + + # Write final HTML report (without auto-refresh) + if live_report_path: + live_report_path.write_text(generate_html(output, auto_refresh=False, skill_name=name)) + print(f"\nReport: {live_report_path}", file=sys.stderr) + + if results_dir and live_report_path: + (results_dir / "report.html").write_text(generate_html(output, auto_refresh=False, skill_name=name)) + + if results_dir: + print(f"Results saved to: {results_dir}", file=sys.stderr) + + +if __name__ == "__main__": + main() diff --git a/.agents/skills/skill-creator/scripts/utils.py b/.agents/skills/skill-creator/scripts/utils.py new file mode 100644 index 0000000..51b6a07 --- /dev/null +++ b/.agents/skills/skill-creator/scripts/utils.py @@ -0,0 +1,47 @@ +"""Shared utilities for skill-creator scripts.""" + +from pathlib import Path + + + +def parse_skill_md(skill_path: Path) -> tuple[str, str, str]: + """Parse a SKILL.md file, returning (name, description, full_content).""" + content = (skill_path / "SKILL.md").read_text() + lines = content.split("\n") + + if lines[0].strip() != "---": + raise ValueError("SKILL.md missing frontmatter (no opening ---)") + + end_idx = None + for i, line in enumerate(lines[1:], start=1): + if line.strip() == "---": + end_idx = i + break + + if end_idx is None: + raise ValueError("SKILL.md missing frontmatter (no closing ---)") + + name = "" + description = "" + frontmatter_lines = lines[1:end_idx] + i = 0 + while i < len(frontmatter_lines): + line = frontmatter_lines[i] + if line.startswith("name:"): + name = line[len("name:"):].strip().strip('"').strip("'") + elif line.startswith("description:"): + value = line[len("description:"):].strip() + # Handle YAML multiline indicators (>, |, >-, |-) + if value in (">", "|", ">-", "|-"): + continuation_lines: list[str] = [] + i += 1 + while i < len(frontmatter_lines) and (frontmatter_lines[i].startswith(" ") or frontmatter_lines[i].startswith("\t")): + continuation_lines.append(frontmatter_lines[i].strip()) + i += 1 + description = " ".join(continuation_lines) + continue + else: + description = value.strip('"').strip("'") + i += 1 + + return name, description, content diff --git a/.agents/skills/tanstack-form/SKILL.md b/.agents/skills/tanstack-form/SKILL.md new file mode 100644 index 0000000..7bba8e5 --- /dev/null +++ b/.agents/skills/tanstack-form/SKILL.md @@ -0,0 +1,417 @@ +--- +name: tanstack-form +description: Headless, performant, and type-safe form state management for TS/JS, React, Vue, Angular, Solid, Lit, and Svelte. +--- + +## Overview + +TanStack Form is a headless form library with deep TypeScript integration. It provides field-level and form-level validation (sync/async), array fields, linked/dependent fields, fine-grained reactivity, and schema validation adapter support (Zod, Valibot, Yup). + +**Package:** `@tanstack/react-form` +**Adapters:** `@tanstack/zod-form-adapter`, `@tanstack/valibot-form-adapter` +**Status:** Stable (v1) + +## Installation + +```bash +npm install @tanstack/react-form +# Optional schema adapters: +npm install @tanstack/zod-form-adapter zod +npm install @tanstack/valibot-form-adapter valibot +``` + +## Core: useForm + +```tsx +import { useForm } from '@tanstack/react-form'; + +function MyForm() { + const form = useForm({ + defaultValues: { + firstName: '', + lastName: '', + email: '', + age: 0 + }, + onSubmit: async ({ value }) => { + // value is fully typed + await submitToServer(value); + }, + onSubmitInvalid: ({ value, formApi }) => { + console.log('Validation failed:', formApi.state.errors); + } + }); + + return ( + { + e.preventDefault(); + e.stopPropagation(); + form.handleSubmit(); + }} + > + {/* Fields */} + ({ canSubmit: state.canSubmit, isSubmitting: state.isSubmitting })} + children={({ canSubmit, isSubmitting }) => ( + + )} + /> + + ); +} +``` + +## Fields (form.Field) + +```tsx + + value.length < 3 ? 'Must be at least 3 characters' : undefined, + }} + children={(field) => ( +
+ + field.handleChange(e.target.value)} + /> + {field.state.meta.isTouched && field.state.meta.errors.length > 0 && ( + {field.state.meta.errors.join(', ')} + )} +
+ )} +/> + + + + {(field) => ( + field.handleChange(e.target.value)} + onBlur={field.handleBlur} + /> + )} + +``` + +## Validation + +### Validation Timing + +| Cause | When | +| ---------- | ------------------------ | +| `onChange` | After every value change | +| `onBlur` | When field loses focus | +| `onSubmit` | During submission | +| `onMount` | When field mounts | + +### Synchronous Validation + +```tsx + { + if (value < 18) return 'Must be 18 or older'; + return undefined; // undefined = valid + }, + onBlur: ({ value }) => { + if (!value) return 'Required'; + return undefined; + } + }} +/> +``` + +### Asynchronous Validation + +```tsx + { + const res = await fetch(`/api/check-username?q=${value}`); + const { available } = await res.json(); + if (!available) return 'Username taken'; + return undefined; + } + }} +> + {(field) => ( + <> + field.handleChange(e.target.value)} /> + {field.state.meta.isValidating && Checking...} + + )} + +``` + +### Schema Validation (Zod) + +```tsx +import { zodValidator } from '@tanstack/zod-form-adapter' +import { z } from 'zod' + +const form = useForm({ + defaultValues: { email: '', age: 0 }, + validatorAdapter: zodValidator(), + onSubmit: async ({ value }) => { /* ... */ }, +}) + + + + +``` + +### Form-Level Validation + +```tsx +const form = useForm({ + defaultValues: { password: '', confirmPassword: '' }, + validators: { + onChange: ({ value }) => { + if (value.password !== value.confirmPassword) { + return 'Passwords do not match'; + } + return undefined; + } + } +}); +``` + +### Linked/Dependent Fields + +```tsx + { + const password = fieldApi.form.getFieldValue('password'); + if (value !== password) return 'Passwords do not match'; + return undefined; + } + }} +/> +``` + +## Array Fields + +```tsx + + {(field) => ( +
+ {field.state.value.map((_, index) => ( +
+ + {(subField) => ( + subField.handleChange(e.target.value)} + /> + )} + + +
+ ))} + +
+ )} + +``` + +### Array Methods + +```typescript +field.pushValue(item); // Add to end +field.insertValue(index, item); // Insert at index +field.replaceValue(index, item); // Replace at index +field.removeValue(index); // Remove at index +field.swapValues(indexA, indexB); // Swap positions +field.moveValue(from, to); // Move position +``` + +## Listeners (Side Effects) + +```tsx + { + // Side effect: reset dependent fields + form.setFieldValue('state', ''); + form.setFieldValue('postalCode', ''); + } + }} +/> +``` + +## Reactivity (form.Subscribe & useStore) + +```tsx +// Render-prop subscription (fine-grained) + ({ canSubmit: state.canSubmit, isDirty: state.isDirty })} + children={({ canSubmit, isDirty }) => ( +
+ {isDirty && Unsaved changes} + +
+ )} +/>; + +// Hook-based subscription +function FormStatus() { + const isValid = form.useStore((s) => s.isValid); + return isValid ? null :

Fix errors

; +} +``` + +## Form State + +```typescript +interface FormState { + values: TFormData; + errors: ValidationError[]; + errorMap: Record; + isFormValid: boolean; + isFieldsValid: boolean; + isValid: boolean; // isFormValid && isFieldsValid + isTouched: boolean; + isPristine: boolean; + isDirty: boolean; + isSubmitting: boolean; + isSubmitted: boolean; + isSubmitSuccessful: boolean; + submissionAttempts: number; + canSubmit: boolean; // isValid && !isSubmitting +} +``` + +## Field State + +```typescript +interface FieldState { + value: TData; + meta: { + isTouched: boolean; + isDirty: boolean; + isPristine: boolean; + isValidating: boolean; + errors: ValidationError[]; + errorMap: Record; + }; +} +``` + +## FormApi Methods + +```typescript +form.handleSubmit(); +form.reset(); +form.getFieldValue(field); +form.setFieldValue(field, value); +form.getFieldMeta(field); +form.setFieldMeta(field, updater); +form.validateAllFields(cause); +form.validateField(field, cause); +form.deleteField(field); +``` + +## Shared Form Options (formOptions) + +```tsx +import { formOptions } from '@tanstack/react-form'; + +const sharedOpts = formOptions({ + defaultValues: { firstName: '', lastName: '' } +}); + +// Reuse across components +const form = useForm({ + ...sharedOpts, + onSubmit: async ({ value }) => { + /* ... */ + } +}); +``` + +## Server-Side Validation + +```tsx +// TanStack Start / Next.js server action +import { ServerValidateError } from '@tanstack/react-form/nextjs'; + +export async function validateForm(data: FormData) { + const email = data.get('email') as string; + if (await checkEmailExists(email)) { + throw new ServerValidateError({ + form: 'Submission failed', + fields: { email: 'Email already registered' } + }); + } +} +``` + +## TypeScript Integration + +```tsx +// Type-safe field paths with DeepKeys +interface UserForm { + name: string + address: { street: string; city: string } + tags: string[] + contacts: Array<{ name: string; phone: string }> +} + +// TypeScript auto-completes all valid paths: +// 'name', 'address', 'address.street', 'address.city', 'tags', 'contacts' + // OK + // Type Error! +``` + +## Best Practices + +1. **Always call `e.preventDefault()` and `e.stopPropagation()`** on form submit +2. **Always attach `onBlur={field.handleBlur}`** for blur validation and isTouched tracking +3. **Use `mode="array"`** for array fields to get array methods +4. **Return `undefined`** (not null/false) for valid validators +5. **Use `asyncDebounceMs`** for async validators to prevent API spam +6. **Check `isTouched` before showing errors** for better UX +7. **Use `form.Subscribe` with selectors** to minimize re-renders +8. **Use `formOptions`** for shared configuration across components +9. **Use schema validators** (Zod/Valibot) for complex validation rules +10. **Use `onChangeListenTo`** for cross-field validation dependencies + +## Common Pitfalls + +- Forgetting `e.preventDefault()` on form submit (causes page reload) +- Not attaching `onBlur` to inputs (breaks blur validation and isTouched) +- Returning `null` or `false` instead of `undefined` for valid fields +- Using `mode="array"` incorrectly (only needed on the array field itself, not sub-fields) +- Subscribing to entire form state instead of using selectors (unnecessary re-renders) +- Not using `asyncDebounceMs` with async validators (fires on every keystroke) diff --git a/.agents/skills/tanstack-query/SKILL.md b/.agents/skills/tanstack-query/SKILL.md new file mode 100644 index 0000000..44d85f0 --- /dev/null +++ b/.agents/skills/tanstack-query/SKILL.md @@ -0,0 +1,472 @@ +--- +name: tanstack-query +description: TanStack Query v5 data fetching patterns including useSuspenseQuery, useQuery, mutations, cache management, and API service integration. Use when fetching data, managing server state, or working with TanStack Query hooks. +--- + +# TanStack Query Patterns + +## Purpose + +Modern data fetching with TanStack Query v5 (latest: 5.90.5, November 2025), emphasizing Suspense-based queries, cache-first strategies, and centralized API services. + +**Note**: v5 (released October 2023) has breaking changes from v4: + +- `isLoading` → `isPending` for status +- `cacheTime` → `gcTime` (garbage collection time) +- React 18.0+ required +- Callbacks removed from useQuery (onError, onSuccess, onSettled) +- `keepPreviousData` replaced with `placeholderData` function + +## When to Use This Skill + +- Fetching data with TanStack Query +- Using useSuspenseQuery or useQuery +- Managing mutations +- Cache invalidation and updates +- API service patterns + +--- + +## Quick Start + +### Primary Pattern: useSuspenseQuery + +For **all new components**, use `useSuspenseQuery`: + +```typescript +import { useSuspenseQuery } from '@tanstack/react-query'; +import { postsApi } from '~/features/posts/api/postsApi'; + +function PostList() { + const { data: posts } = useSuspenseQuery({ + queryKey: ['posts'], + queryFn: postsApi.getAll, + }); + + return ( +
+ {posts.map(post => ( + + ))} +
+ ); +} + +// Wrap with Suspense +}> + + +``` + +**Benefits:** + +- No `isLoading` checks needed +- Integrates with Suspense boundaries +- Cleaner component code +- Consistent loading UX + +--- + +## useSuspenseQuery Patterns + +### Basic Usage + +```typescript +const { data } = useSuspenseQuery({ + queryKey: ['user', userId], + queryFn: () => userApi.get(userId), +}); + +// data is never undefined - guaranteed by Suspense +return
{data.name}
; +``` + +### With Parameters + +```typescript +function UserPosts({ userId }: { userId: string }) { + const { data: posts } = useSuspenseQuery({ + queryKey: ['users', userId, 'posts'], + queryFn: () => postsApi.getByUser(userId), + }); + + return
{posts.length} posts
; +} +``` + +### Dependent Queries + +```typescript +function PostDetails({ postId }: { postId: string }) { + // First query + const { data: post } = useSuspenseQuery({ + queryKey: ['posts', postId], + queryFn: () => postsApi.get(postId), + }); + + // Second query depends on first + const { data: author } = useSuspenseQuery({ + queryKey: ['users', post.authorId], + queryFn: () => userApi.get(post.authorId), + }); + + return
{author.name} wrote {post.title}
; +} +``` + +--- + +## useQuery (Legacy Pattern) + +Use `useQuery` only when you need loading/error states in the component: + +```typescript +import { useQuery } from '@tanstack/react-query'; + +function Component() { + const { data, isPending, error } = useQuery({ + queryKey: ['posts'], + queryFn: postsApi.getAll, + }); + + if (isPending) return ; + if (error) return ; + + return
{data.map(...)}
; +} +``` + +**When to use `useQuery` vs `useSuspenseQuery`:** + +- Use `useSuspenseQuery` by default (preferred) +- Use `useQuery` only when you need component-level loading states +- Most cases should use `useSuspenseQuery` + Suspense boundaries + +--- + +## Mutations + +### Basic Mutation + +```typescript +import { useMutation, useQueryClient } from '@tanstack/react-query'; + +function CreatePostButton() { + const queryClient = useQueryClient(); + + const mutation = useMutation({ + mutationFn: postsApi.create, + onSuccess: () => { + // Invalidate and refetch + queryClient.invalidateQueries({ queryKey: ['posts'] }); + }, + }); + + const handleCreate = () => { + mutation.mutate({ + title: 'New Post', + content: 'Content here', + }); + }; + + return ( + + ); +} +``` + +### Optimistic Updates + +```typescript +const mutation = useMutation({ + mutationFn: postsApi.update, + onMutate: async (updatedPost) => { + // Cancel outgoing refetches + await queryClient.cancelQueries({ queryKey: ['posts', updatedPost.id] }); + + // Snapshot previous value + const previousPost = queryClient.getQueryData(['posts', updatedPost.id]); + + // Optimistically update + queryClient.setQueryData(['posts', updatedPost.id], updatedPost); + + // Return context with snapshot + return { previousPost }; + }, + onError: (err, updatedPost, context) => { + // Rollback on error + queryClient.setQueryData(['posts', updatedPost.id], context.previousPost); + }, + onSettled: (data, error, variables) => { + // Refetch after mutation + queryClient.invalidateQueries({ queryKey: ['posts', variables.id] }); + } +}); +``` + +--- + +## Cache Management + +### Invalidation + +```typescript +import { useQueryClient } from '@tanstack/react-query'; + +const queryClient = useQueryClient(); + +// Invalidate all posts queries +queryClient.invalidateQueries({ queryKey: ['posts'] }); + +// Invalidate specific post +queryClient.invalidateQueries({ queryKey: ['posts', postId] }); + +// Invalidate all queries +queryClient.invalidateQueries(); +``` + +### Manual Updates + +```typescript +// Update cache directly +queryClient.setQueryData(['posts', postId], newPost); + +// Update with function +queryClient.setQueryData(['posts'], (oldPosts) => [...oldPosts, newPost]); +``` + +### Prefetching + +```typescript +// Prefetch data +await queryClient.prefetchQuery({ + queryKey: ['posts', postId], + queryFn: () => postsApi.get(postId), +}); + +// In a component +const prefetchPost = (postId: string) => { + queryClient.prefetchQuery({ + queryKey: ['posts', postId], + queryFn: () => postsApi.get(postId), + }); +}; + + prefetchPost(post.id)} +> + {post.title} + +``` + +--- + +## API Service Pattern + +### Centralized API Service + +```typescript +// features/posts/api/postsApi.ts +import { apiClient } from '@/lib/apiClient'; +import type { Post, CreatePostDto, UpdatePostDto } from '~/types/post'; + +export const postsApi = { + getAll: async (): Promise => { + const response = await apiClient.get('/posts'); + return response.data; + }, + + get: async (id: string): Promise => { + const response = await apiClient.get(`/posts/${id}`); + return response.data; + }, + + create: async (data: CreatePostDto): Promise => { + const response = await apiClient.post('/posts', data); + return response.data; + }, + + update: async (id: string, data: UpdatePostDto): Promise => { + const response = await apiClient.put(`/posts/${id}`, data); + return response.data; + }, + + delete: async (id: string): Promise => { + await apiClient.delete(`/posts/${id}`); + }, + + getByUser: async (userId: string): Promise => { + const response = await apiClient.get(`/users/${userId}/posts`); + return response.data; + } +}; +``` + +### Usage in Components + +```typescript +import { postsApi } from '~/features/posts/api/postsApi'; + +// In query +const { data } = useSuspenseQuery({ + queryKey: ['posts'], + queryFn: postsApi.getAll +}); + +// In mutation +const mutation = useMutation({ + mutationFn: postsApi.create +}); +``` + +--- + +## Query Keys + +### Key Structure + +```typescript +// List queries +['posts'][('posts', { status: 'published' })][ // All posts // Filtered posts + // Detail queries + ('posts', postId) +][('posts', postId, 'comments')][ // Single post // Post comments + // Nested resources + ('users', userId, 'posts') +][('users', userId, 'posts', postId)]; // User's posts // Specific user post +``` + +### Key Factories + +```typescript +// features/posts/api/postKeys.ts +export const postKeys = { + all: ['posts'] as const, + lists: () => [...postKeys.all, 'list'] as const, + list: (filters: string) => [...postKeys.lists(), { filters }] as const, + details: () => [...postKeys.all, 'detail'] as const, + detail: (id: string) => [...postKeys.details(), id] as const, + comments: (id: string) => [...postKeys.detail(id), 'comments'] as const +}; + +// Usage +const { data } = useSuspenseQuery({ + queryKey: postKeys.detail(postId), + queryFn: () => postsApi.get(postId) +}); + +// Invalidate all post lists +queryClient.invalidateQueries({ queryKey: postKeys.lists() }); +``` + +--- + +## Error Handling + +### With Error Boundaries + +```typescript +import { ErrorBoundary } from 'react-error-boundary'; + +}> + }> + + + + +// In component +function DataComponent() { + const { data } = useSuspenseQuery({ + queryKey: ['data'], + queryFn: fetchData, + // Errors automatically caught by ErrorBoundary + }); + + return
{data}
; +} +``` + +### Retry and Cache Configuration + +```typescript +const { data } = useQuery({ + queryKey: ['posts'], + queryFn: postsApi.getAll, + retry: 3, // Retry 3 times + retryDelay: 1000, // Wait 1s between retries + gcTime: 5 * 60 * 1000 // Garbage collection time: 5 minutes (v5: was 'cacheTime') +}); +``` + +--- + +## Best Practices + +### 1. Use Suspense by Default + +```typescript +// ✅ Good: useSuspenseQuery + Suspense +}> + + + +function DataComponent() { + const { data } = useSuspenseQuery({...}); + return
{data}
; +} + +// ❌ Avoid: useQuery with manual loading +function DataComponent() { + const { data, isPending } = useQuery({...}); + if (isPending) return ; + return
{data}
; +} +``` + +### 2. Consistent Query Keys + +```typescript +// ✅ Good: Use key factories +const { data } = useSuspenseQuery({ + queryKey: postKeys.detail(id), + queryFn: () => postsApi.get(id) +}); + +// ❌ Avoid: Inconsistent keys +const { data } = useSuspenseQuery({ + queryKey: ['post', id], // Different format + queryFn: () => postsApi.get(id) +}); +``` + +### 3. Centralized API Services + +```typescript +// ✅ Good: API service +const { data } = useSuspenseQuery({ + queryKey: ['posts'], + queryFn: postsApi.getAll +}); + +// ❌ Avoid: Inline fetching +const { data } = useSuspenseQuery({ + queryKey: ['posts'], + queryFn: async () => { + const res = await fetch('/api/posts'); + return res.json(); + } +}); +``` + +--- + +## Additional Resources + +For more patterns, see: + +- [data-fetching.md](resources/data-fetching.md) - Advanced patterns +- [cache-strategies.md](resources/cache-strategies.md) - Cache management +- [mutation-patterns.md](resources/mutation-patterns.md) - Complex mutations diff --git a/.agents/skills/tanstack-query/resources/cache-strategies.md b/.agents/skills/tanstack-query/resources/cache-strategies.md new file mode 100644 index 0000000..d544c92 --- /dev/null +++ b/.agents/skills/tanstack-query/resources/cache-strategies.md @@ -0,0 +1,252 @@ +# Cache Management Strategies + +## Cache Time Configuration + +```typescript +const { data } = useQuery({ + queryKey: ['posts'], + queryFn: fetchPosts, + staleTime: 5 * 60 * 1000, // Consider fresh for 5 minutes + gcTime: 10 * 60 * 1000 // Keep in cache for 10 minutes (formerly cacheTime) +}); +``` + +## Cache Invalidation + +### Invalidate Specific Queries + +```typescript +const queryClient = useQueryClient(); + +// Invalidate all post queries +queryClient.invalidateQueries({ queryKey: ['posts'] }); + +// Invalidate specific post +queryClient.invalidateQueries({ queryKey: ['post', postId] }); + +// Invalidate with exact match +queryClient.invalidateQueries({ + queryKey: ['posts'], + exact: true // Only ['posts'], not ['posts', 'list'] +}); +``` + +### Invalidate on Mutation + +```typescript +const { mutate } = useMutation({ + mutationFn: createPost, + onSuccess: () => { + // Invalidate and refetch + queryClient.invalidateQueries({ queryKey: ['posts'] }); + } +}); +``` + +## Manual Cache Updates + +### Set Query Data + +```typescript +// Update cache directly +queryClient.setQueryData(['post', postId], (oldData) => ({ + ...oldData, + title: 'New Title' +})); + +// Set new data +queryClient.setQueryData(['post', postId], newPost); +``` + +### Get Query Data + +```typescript +// Read from cache +const cachedPost = queryClient.getQueryData(['post', postId]); + +// Use in initialData +const { data } = useQuery({ + queryKey: ['post', postId], + queryFn: () => fetchPost(postId), + initialData: () => queryClient.getQueryData(['posts'])?.find((p) => p.id === postId) +}); +``` + +## Refetch Strategies + +### Refetch on Window Focus + +```typescript +const { data } = useQuery({ + queryKey: ['posts'], + queryFn: fetchPosts, + refetchOnWindowFocus: true // Refetch when tab regains focus +}); +``` + +### Refetch on Reconnect + +```typescript +const { data } = useQuery({ + queryKey: ['posts'], + queryFn: fetchPosts, + refetchOnReconnect: true // Refetch when internet reconnects +}); +``` + +### Refetch Intervals + +```typescript +const { data } = useQuery({ + queryKey: ['live-data'], + queryFn: fetchLiveData, + refetchInterval: 5000, // Refetch every 5 seconds + refetchIntervalInBackground: false // Pause when tab not active +}); +``` + +## Cache Persistence + +### Persist to localStorage + +```typescript +import { QueryClient } from '@tanstack/react-query'; +import { PersistQueryClientProvider } from '@tanstack/react-query-persist-client'; +import { createSyncStoragePersister } from '@tanstack/query-sync-storage-persister'; + +const queryClient = new QueryClient({ + defaultOptions: { + queries: { + gcTime: 1000 * 60 * 60 * 24 // 24 hours + } + } +}); + +const persister = createSyncStoragePersister({ + storage: window.localStorage +}); + + + + +``` + +## Cache Deduplication + +### Automatic Request Deduplication + +```typescript +// Both components will share the same request +function Component1() { + const { data } = useQuery({ + queryKey: ['posts'], + queryFn: fetchPosts + }); +} + +function Component2() { + const { data } = useQuery({ + queryKey: ['posts'], // Same key = same request + queryFn: fetchPosts + }); +} +``` + +## Cache Preloading + +### Prefetch Queries + +```typescript +const queryClient = useQueryClient(); + +// Prefetch before navigation +const handleMouseEnter = () => { + queryClient.prefetchQuery({ + queryKey: ['post', postId], + queryFn: () => fetchPost(postId) + }); +}; + +// Prefetch in loader +router.beforeEach(async (to, from, next) => { + await queryClient.prefetchQuery({ + queryKey: ['user', to.params.userId], + queryFn: () => fetchUser(to.params.userId) + }); + next(); +}); +``` + +### Ensure Query Data + +```typescript +// Fetch if not in cache, otherwise use cached +await queryClient.ensureQueryData({ + queryKey: ['post', postId], + queryFn: () => fetchPost(postId) +}); +``` + +## Selective Cache Updates + +### Update Nested Data + +```typescript +queryClient.setQueryData(['posts'], (oldPosts) => { + return oldPosts.map((post) => (post.id === updatedPost.id ? updatedPost : post)); +}); +``` + +### Add to List Cache + +```typescript +// After creating a post +queryClient.setQueryData(['posts'], (oldPosts = []) => { + return [newPost, ...oldPosts]; +}); +``` + +### Remove from List Cache + +```typescript +// After deleting a post +queryClient.setQueryData(['posts'], (oldPosts) => { + return oldPosts.filter((post) => post.id !== deletedPostId); +}); +``` + +## Cache Debugging + +### React Query Devtools + +```typescript +import { ReactQueryDevtools } from '@tanstack/react-query-devtools'; + + + + + +``` + +### Query Cache Events + +```typescript +const queryCache = queryClient.getQueryCache(); + +queryCache.subscribe((event) => { + console.log('Query cache event:', event.type, event.query.queryKey); +}); +``` + +## Best Practices + +1. **Set Appropriate staleTime** - Balance freshness vs performance +2. **Use Invalidation Over Refetch** - Let queries refetch when needed +3. **Prefetch Predictably** - Preload data on hover/intent +4. **Update Cache on Mutations** - Keep UI in sync +5. **Use Devtools** - Debug cache issues visually +6. **Persist Important Data** - Save to localStorage for offline support +7. **Deduplicate Requests** - Rely on automatic deduplication diff --git a/.agents/skills/tanstack-query/resources/data-fetching.md b/.agents/skills/tanstack-query/resources/data-fetching.md new file mode 100644 index 0000000..7a02830 --- /dev/null +++ b/.agents/skills/tanstack-query/resources/data-fetching.md @@ -0,0 +1,240 @@ +# Advanced Data Fetching Patterns with TanStack Query + +## Dependent Queries + +Queries that depend on data from other queries: + +```typescript +// First query - Get user ID +const { data: user } = useQuery({ + queryKey: ['user'], + queryFn: fetchCurrentUser +}); + +// Second query - Depends on user ID +const { data: posts } = useQuery({ + queryKey: ['posts', user?.id], + queryFn: () => fetchUserPosts(user!.id), + enabled: !!user // Only run when user is available +}); +``` + +## Parallel Queries + +Fetch multiple independent queries simultaneously: + +```typescript +function Dashboard() { + const queries = useQueries({ + queries: [ + { queryKey: ['stats'], queryFn: fetchStats }, + { queryKey: ['recentPosts'], queryFn: fetchRecentPosts }, + { queryKey: ['notifications'], queryFn: fetchNotifications } + ] + }); + + const [statsQuery, postsQuery, notificationsQuery] = queries; + + if (queries.some(q => q.isLoading)) return ; + + return ; +} +``` + +## Infinite Queries + +For pagination and infinite scroll: + +```typescript +const { + data, + fetchNextPage, + hasNextPage, + isFetchingNextPage +} = useInfiniteQuery({ + queryKey: ['posts'], + queryFn: ({ pageParam = 1 }) => fetchPosts(pageParam), + getNextPageParam: (lastPage, pages) => lastPage.nextCursor, + initialPageParam: 1 +}); + +// Flatten pages +const allPosts = data?.pages.flatMap(page => page.posts) ?? []; + +return ( +
+ {allPosts.map(post => )} + {hasNextPage && ( + + )} +
+); +``` + +## Prefetching + +Preload data before it's needed: + +```typescript +import { useQueryClient } from '@tanstack/react-query'; + +function PostLink({ postId }: { postId: string }) { + const queryClient = useQueryClient(); + + const handleMouseEnter = () => { + queryClient.prefetchQuery({ + queryKey: ['post', postId], + queryFn: () => fetchPost(postId) + }); + }; + + return ( + + View Post + + ); +} +``` + +## Suspense Mode + +Use with React Suspense: + +```typescript +import { useSuspenseQuery } from '@tanstack/react-query'; + +function PostDetails({ postId }: { postId: string }) { + // Throws promise on loading, error on error + const { data: post } = useSuspenseQuery({ + queryKey: ['post', postId], + queryFn: () => fetchPost(postId) + }); + + return
{post.title}
; +} + +// Wrap with Suspense +}> + + +``` + +## Query Cancellation + +Cancel queries when component unmounts: + +```typescript +const { data, isLoading } = useQuery({ + queryKey: ['search', searchTerm], + queryFn: async ({ signal }) => { + const response = await fetch(`/api/search?q=${searchTerm}`, { signal }); + return response.json(); + } +}); +``` + +## Initial Data + +Provide initial data to avoid loading state: + +```typescript +const { data } = useQuery({ + queryKey: ['post', postId], + queryFn: () => fetchPost(postId), + initialData: () => { + // Get from cache or other source + return queryClient.getQueryData(['posts'])?.find((post) => post.id === postId); + } +}); +``` + +## Placeholder Data + +Show placeholder while loading: + +```typescript +const { data, isPlaceholderData } = useQuery({ + queryKey: ['posts', page], + queryFn: () => fetchPosts(page), + placeholderData: (previousData) => previousData // Keep previous page while loading +}); + +// Or provide static placeholder +placeholderData: { posts: [], total: 0 } +``` + +## Optimistic Updates with Queries + +Update UI immediately, rollback on error: + +```typescript +const queryClient = useQueryClient(); + +const { mutate } = useMutation({ + mutationFn: updatePost, + onMutate: async (newPost) => { + // Cancel outgoing queries + await queryClient.cancelQueries({ queryKey: ['post', newPost.id] }); + + // Snapshot current value + const previousPost = queryClient.getQueryData(['post', newPost.id]); + + // Optimistically update + queryClient.setQueryData(['post', newPost.id], newPost); + + return { previousPost }; + }, + onError: (err, newPost, context) => { + // Rollback on error + queryClient.setQueryData(['post', newPost.id], context?.previousPost); + }, + onSettled: (newPost) => { + // Refetch after success or error + queryClient.invalidateQueries({ queryKey: ['post', newPost.id] }); + } +}); +``` + +## Query Retries + +Configure retry behavior: + +```typescript +const { data } = useQuery({ + queryKey: ['post', postId], + queryFn: () => fetchPost(postId), + retry: 3, // Retry 3 times + retryDelay: (attemptIndex) => Math.min(1000 * 2 ** attemptIndex, 30000) // Exponential backoff +}); +``` + +## Error Handling + +Handle query errors: + +```typescript +const { data, error, isError } = useQuery({ + queryKey: ['post', postId], + queryFn: () => fetchPost(postId), + throwOnError: false // Don't throw, just set error +}); + +if (isError) { + return ; +} +``` + +## Best Practices + +1. **Use Suspense** - Better loading UX with React Suspense +2. **Prefetch on Intent** - Preload data on hover/focus +3. **Enable Queries Conditionally** - Use `enabled` option +4. **Cancel on Unmount** - Use abort signals +5. **Handle Errors Gracefully** - Show error states +6. **Optimize with Placeholders** - Show previous data while loading diff --git a/.agents/skills/tanstack-query/resources/mutation-patterns.md b/.agents/skills/tanstack-query/resources/mutation-patterns.md new file mode 100644 index 0000000..676ba96 --- /dev/null +++ b/.agents/skills/tanstack-query/resources/mutation-patterns.md @@ -0,0 +1,344 @@ +# Complex Mutation Patterns + +## Basic Mutations + +```typescript +const { mutate, isPending, isError, error } = useMutation({ + mutationFn: (newPost: CreatePostDto) => createPost(newPost), + onSuccess: (data) => { + console.log('Post created:', data); + }, + onError: (error) => { + console.error('Failed to create post:', error); + } +}); + +// Trigger mutation +mutate({ title: 'New Post', content: '...' }); +``` + +## Optimistic Updates + +Update UI immediately, rollback on error: + +```typescript +const { mutate } = useMutation({ + mutationFn: updatePost, + onMutate: async (newPost) => { + // Cancel outgoing refetches + await queryClient.cancelQueries({ queryKey: ['posts'] }); + + // Snapshot previous value + const previousPosts = queryClient.getQueryData(['posts']); + + // Optimistically update to the new value + queryClient.setQueryData(['posts'], (old) => + old.map((post) => (post.id === newPost.id ? newPost : post)) + ); + + // Return context with snapshot + return { previousPosts }; + }, + onError: (err, newPost, context) => { + // Rollback to previous value + queryClient.setQueryData(['posts'], context.previousPosts); + }, + onSettled: () => { + // Always refetch after error or success + queryClient.invalidateQueries({ queryKey: ['posts'] }); + } +}); +``` + +## Sequential Mutations + +Run mutations in sequence: + +```typescript +const createAndPublish = async (postData) => { + // Create post + const post = await createPostMutation.mutateAsync(postData); + + // Publish post + const published = await publishPostMutation.mutateAsync(post.id); + + return published; +}; +``` + +## Parallel Mutations + +Run multiple mutations simultaneously: + +```typescript +const { mutate } = useMutation({ + mutationFn: async (updates) => { + const results = await Promise.all([ + updateProfile(updates.profile), + updateSettings(updates.settings), + updatePreferences(updates.preferences) + ]); + return results; + } +}); +``` + +## Mutation with Invalidation + +```typescript +const { mutate } = useMutation({ + mutationFn: createPost, + onSuccess: () => { + // Invalidate and refetch + queryClient.invalidateQueries({ queryKey: ['posts'] }); + + // Or update cache directly + queryClient.setQueryData(['posts'], (old) => [newPost, ...old]); + } +}); +``` + +## Mutation with Multiple Cache Updates + +```typescript +const { mutate } = useMutation({ + mutationFn: deletePost, + onSuccess: (_, deletedPostId) => { + // Update posts list + queryClient.setQueryData(['posts'], (old) => old.filter((post) => post.id !== deletedPostId)); + + // Update post count + queryClient.setQueryData(['postsCount'], (old) => old - 1); + + // Invalidate related queries + queryClient.invalidateQueries({ queryKey: ['user', 'stats'] }); + } +}); +``` + +## Error Handling + +```typescript +const { mutate, isError, error, reset } = useMutation({ + mutationFn: createPost, + onError: (error) => { + if (error.code === 'VALIDATION_ERROR') { + setFormErrors(error.fields); + } else if (error.code === 'NETWORK_ERROR') { + showRetryDialog(); + } else { + showGenericError(); + } + } +}); + +// Clear error state +reset(); +``` + +## Retry Failed Mutations + +```typescript +const { mutate } = useMutation({ + mutationFn: createPost, + retry: 3, // Retry 3 times on failure + retryDelay: (attemptIndex) => Math.min(1000 * 2 ** attemptIndex, 30000) // Exponential backoff +}); +``` + +## Mutation with Loading State + +```typescript +function CreatePostForm() { + const { mutate, isPending } = useMutation({ + mutationFn: createPost, + onSuccess: () => { + navigate('/posts'); + } + }); + + const handleSubmit = (data) => { + mutate(data); + }; + + return ( +
+ {/* form fields */} + +
+ ); +} +``` + +## Mutation with Variables + +```typescript +const { mutate, variables } = useMutation({ + mutationFn: updatePost +}); + +// Access last mutation variables +console.log('Last updated post:', variables); +``` + +## Mutation Callbacks + +```typescript +const { mutate } = useMutation({ + mutationFn: createPost, + onMutate: (variables) => { + console.log('Starting mutation with:', variables); + }, + onSuccess: (data, variables, context) => { + console.log('Success!', data); + }, + onError: (error, variables, context) => { + console.error('Error!', error); + }, + onSettled: (data, error, variables, context) => { + console.log('Mutation finished (success or error)'); + } +}); +``` + +## Mutation with Form Integration + +```typescript +import { useForm } from 'react-hook-form'; + +function CreatePostForm() { + const { register, handleSubmit, reset } = useForm(); + + const { mutate, isPending, isError, error } = useMutation({ + mutationFn: createPost, + onSuccess: () => { + reset(); // Clear form + toast.success('Post created!'); + }, + onError: (error) => { + toast.error(error.message); + } + }); + + const onSubmit = (data) => { + mutate(data); + }; + + return ( +
+ +