搜索「Claude Code」的结果

io.github.denoland/deno/lint-js

Lint JS/TS code only. Use before opening a PR when only JavaScript or TypeScript files were changed (no Rust).

io.github.a5c-ai/babysitter/examples

Deploy the application to a target environment. Use when deploying code, releasing, or pushing to staging/production. Requires explicit user invocation.

io.github.medusajs/medusa/writing-docs

Writes and updates Medusa documentation MDX files for the book, resources, ui, user-guide, and cloud projects. Use when making documentation changes based on code diffs, adding new pages, updating existing content, or updating component examples. ALWAYS load this skill before modifying any MDX file in www/apps/.

io.github.openai/plugins/writing-plans

Use when you have a spec or requirements for a multi-step task, before touching code

io.github.micronaut-projects/micronaut-core/agent-md-refactor

Refactor oversized agent instruction files into a progressive-disclosure structure. Use when users ask to split AGENTS.md/CLAUDE.md/COPILOT.md, reduce instruction bloat, or organize guidance into linked topic files.

io.github.softspark/ai-toolkit/refactor

Refactors code for quality and maintainability. Triggers: refactor, clean up, restructure, improve code, modernize.

io.github.LeoYeAI/openclaw-master-skills/pythongo

answer questions about pythongo code, docs, callbacks, errors, modules, functions, marketcenter, paramsmap, instrument_id, exchange, kline data, and strategy examples. use when the user asks about pythongo implementation, behavior, interfaces, usage, installation, faq, or wants pythongo code examples based on the bundled codebase, docs_indexed, docs_normalized, examples.md, and pyi reference markdown files.

io.github.LeoYeAI/openclaw-master-skills/security-scanner-plus

Scan AI agent skills for security vulnerabilities, dangerous code patterns, and undeclared permissions. Three-layer analysis: dependency CVE scanning, static code analysis, and permission auditing. Returns structured JSON risk report. Use when the user asks to scan a skill for security issues, check for vulnerabilities, audit permissions, or assess skill safety.

io.github.LeoYeAI/openclaw-master-skills/typescript-skills

Provide best-practice coding conventions and generate standards-compliant TypeScript code.

io.github.OpenAEV-Platform/openaev/review-frontend

Frontend review checklist for OpenAEV React/TypeScript code: component patterns, forms, MUI usage, permissions, i18n, state management, dead code. Use when reviewing PRs or auditing frontend features.

io.github.sickn33/antigravity-awesome-skills/react-best-practices

Comprehensive performance optimization guide for React and Next.js applications, maintained by Vercel. Use when writing new React components or Next.js pages, implementing data fetching (client or server-side), or reviewing code for performance issues.

io.github.danielmiessler/Personal_AI_Infrastructure/src

Intakes existing content from external sources, classifies each chunk against the PAI destination taxonomy, and commits approved chunks with provenance. Sources: .md/.markdown/.txt, stdin, PAI TELOS/MEMORY/KNOWLEDGE dirs, CLAUDE.md/.cursorrules/OpenAI Custom Instructions, Obsidian/Notion/Apple Notes exports, journal dumps. MigrateScan.ts chunks and classifies, producing a routing table with per-target counts and confidence %. MigrateApprove.ts approval loop: --approve-all, --approve-target, --review, --dry-run. UNCLEAR never bulk-approved. Phase 6 delivers summary and /interview recommendation for sparse areas. Confidence: ≥70% auto-approve; 40-70% confirm; <40% walk-through. Destinations: TELOS (MISSION/GOALS/PROBLEMS/STRATEGIES/CHALLENGES/BELIEFS/WISDOM/MODELS/FRAMES/NARRATIVES/SPARKS), IDEAL_STATE (per-dimension explicit call), preferences (BOOKS/AUTHORS/MOVIES/BANDS/RESTAURANTS/FOOD_PREFERENCES/LEARNING/MEETUPS/CIVIC), Identity (PRINCIPAL_IDENTITY.md — always prompts), Knowledge (MEMORY/KNOWLEDGE/{Ideas,P

io.github.gabrielmoreira/agent-skills-mirror/css-coding-without-universal-selector

Generate CSS code while strictly avoiding the use of the universal selector (*) to prevent performance issues and unintended style inheritance.

io.github.gabrielmoreira/agent-skills-mirror/css-tricolor-flag-generator-with-official-standards

Generates HTML and CSS code for tricolor flags adhering to official color specifications, aspect ratios, and correct stripe orientation.

io.github.gabrielmoreira/agent-skills-mirror/css-image-hover-position-transition

Generates pure CSS code to animate an image's position on hover (e.g., moving top) without changing its dimensions.

io.github.suxrobGM/logistics-app/refactor-and-split

Refactor existing code without changing behavior — split oversized files, extract duplicates, simplify over-engineered patterns. Use when files exceed size thresholds, code is duplicated 4+ times, or has speculative abstractions, dead options, or wrapper indirection. Triggers "refactor", "split", "deduplicate", "simplify", "untangle", "clean up". Complements built-in `simplify` (which only reviews recent diffs).

io.github.danielmiessler/LifeOS/Apify

Scrape social media platforms, business data, and e-commerce via Apify actors — Instagram profiles/posts/hashtags/comments, LinkedIn profiles/jobs/posts, TikTok profiles/hashtags/videos/comments, YouTube channels/search/comments, Facebook posts/groups/comments, Google Maps business search with contact/review/image extraction, Amazon products/reviews/pricing, and general-purpose multi-page web crawling with custom pageFunction extraction logic. File-based TypeScript wrappers (scrapeInstagramProfile, searchGoogleMaps, scrapeAmazonProduct, scrapeWebsite, etc.) filter and transform data in code before returning to model context, achieving 95-99% token savings over direct MCP protocol. Parallel multi-platform queries via Promise.all for social listening dashboards. Lead enrichment pipeline: Google Maps → qualified filter → optional LinkedIn enrichment. Competitive analysis across Instagram, YouTube, and TikTok simultaneously. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Faceboo

io.github.danielmiessler/Personal_AI_Infrastructure/Apify

Scrape social media platforms, business data, and e-commerce via Apify actors — Instagram profiles/posts/hashtags/comments, LinkedIn profiles/jobs/posts, TikTok profiles/hashtags/videos/comments, YouTube channels/search/comments, Facebook posts/groups/comments, Google Maps business search with contact/review/image extraction, Amazon products/reviews/pricing, and general-purpose multi-page web crawling with custom pageFunction extraction logic. File-based TypeScript wrappers (scrapeInstagramProfile, searchGoogleMaps, scrapeAmazonProduct, scrapeWebsite, etc.) filter and transform data in code before returning to model context, achieving 95-99% token savings over direct MCP protocol. Parallel multi-platform queries via Promise.all for social listening dashboards. Lead enrichment pipeline: Google Maps → qualified filter → optional LinkedIn enrichment. Competitive analysis across Instagram, YouTube, and TikTok simultaneously. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Faceboo

io.github.affaan-m/ECC/search-first

Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Systematizes the "search for existing solutions before implementing" approach. Use when starting new features or adding functionality.

io.github.cursor/plugins/make-pr-easy-to-review

Prepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior. Use for "make this easy to review", "tidy this PR", "clean up commits", or "annotate the diff".

io.github.promptfoo/promptfoo/review-standards

Use this skill when asked to review authentication code for security issues.

io.github.promptfoo/promptfoo/review-standards

Use this skill when asked to review authentication code for security issues.

io.github.langfuse/langfuse/vercel-react-best-practices

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

io.github.affaan-m/ECC/exa-search

Neural search via Exa MCP for web, code, and company research. Use when the user needs web search, code examples, company intel, people lookup, or AI-powered deep research with Exa's neural search engine.