read-github 是做什麼的?
透過 gitmcp.io MCP 服務讀取與搜尋 GitHub 儲存庫文件。使用時機: - 使用者提供 GitHub 網址 - 使用者提及 owner/repo 格式的特定儲存庫 - 使用者詢問「這個儲存庫是做什麼的?」、「閱讀 X 儲存庫的文件」或類似問題 - 使用者想要在儲存庫內搜尋程式碼或文件
透過 gitmcp.io MCP 服務讀取與搜尋 GitHub 儲存庫文件。**使用時機:** - 使用者提供 GitHub 網址 - 使用者提及 owner/repo 格式的特定儲存庫 - 使用者詢問「這個儲存庫是做什麼的?」、「閱讀 X 儲存庫的文件」或類似問題 - 使用者想要在儲存庫內搜尋程式碼或文件
am-will/read-github 是一個 AI 代理技能,可讓您透過 gitmcp.io MCP 服務,以自然語言方式讀取和搜尋 GitHub 儲存庫的文件。當使用者直接提供 GitHub 網址或提及 owner/repo 格式的儲存庫時,此技能會自動觸發。它特別適用於回答「這個儲存庫是做什麼的?」等問題,或是在儲存庫內搜尋特定程式碼區塊與文件段落。此技能支援 Claude Code 等 AI 代理平台,透過 MCP 協定與 gitmcp.io 服務整合。其運作方式是利用 gitmcp.io 的快取與索引功能,讓 AI 代理能夠高效地存取和解析 GitHub 儲存庫的內容,無需直接下載整個儲存庫。這大幅簡化了開發者探索新專案、理解程式碼庫結構或進行技術文件查詢的流程。
npx skills add https://github.com/am-will/codex-skills/tree/main/skills/read-githubInstalled? Explore more 生產力與協作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
透過 gitmcp.io MCP 服務讀取與搜尋 GitHub 儲存庫文件。使用時機: - 使用者提供 GitHub 網址 - 使用者提及 owner/repo 格式的特定儲存庫 - 使用者詢問「這個儲存庫是做什麼的?」、「閱讀 X 儲存庫的文件」或類似問題 - 使用者想要在儲存庫內搜尋程式碼或文件
This repo contains 17 individual skills — each has its own dedicated page.
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
Fetch up-to-date library documentation via Context7 CLI. Use PROACTIVELY when: (1) Working with ANY external library (React, Next.js, Supabase, etc.) (2) User asks about library APIs, patterns, or best practices (3) Implementing features that rely on third-party packages (4) Debugging library-specific issues (5) Need current documentation beyond training data cutoff (6) AND MOST IMPORTANTLY, when you are installing dependencies, libraries, or frameworks you should ALWAYS check the docs to see what the latest versions are. Do not rely on outdated knowledge. Always prefer this over guessing library APIs or using outdated knowledge.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
Build responsive, mobile-first layouts using fluid containers, flexible units, media queries, and touch-friendly design that works across all screen sizes. Use this skill when creating or modifying UI layouts, responsive grids, breakpoint styles, mobile navigation, or any interface that needs to adapt to different screen sizes. Apply when working with responsive CSS, media queries, viewport settings, flexbox/grid layouts, mobile-first styling, breakpoint definitions (mobile, tablet, desktop), touch target sizing, relative units (rem, em, %), image optimization for different screens, or testing layouts across multiple devices. Use for any task involving multi-device support, responsive design patterns, or adaptive layouts.
Build and run Gemini 2.5 Computer Use browser-control agents with Playwright. Use when a user wants to automate web browser tasks via the Gemini Computer Use model, needs an agent loop (screenshot → function_call → action → function_response), or asks to integrate safety confirmation for risky UI actions.
Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and randomize them, then judge and merge into one final plan. Use when you need a robust, bias-resistant planning workflow, structured JSON outputs, retries, and failure handling across multiple CLI agents.
Route any website you need to visit through markdown.new by prefixing the URL. **WHEN TO USE:** - You would normally open a website link to read content (docs, blog posts, changelogs, GitHub issues, etc.) - You need a cleaner, Markdown-friendly view for copying notes or summarizing
Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.
Only to be triggered by explicit /parallel-task commands.
Only to be triggered by explicit /parallel-task-spark commands.
Use when user specfically says 'plan harder'.
Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.
Create and update Codex custom agents using standalone custom-agent TOML files.
Only to be triggered by explicit super-swarm-spark commands.
[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.
Writes failing tests first for test-driven development and hands off a strict implementation contract that requires agents to make those tests pass without weakening the tests. Use when users ask for test-first workflows, RED/GREEN cycles, or behavior-gating tasks with automated tests.
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.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.