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am-will/context7

Rufe die aktuellste Bibliotheksdokumentation über die Context7 CLI ab. Verwende es PROAKTIV bei der Arbeit mit externen Bibliotheken (React, Next.js, Supabase etc.), Benutzerfragen zu APIs, der Installation von Abhängigkeiten und bei Debugging-Problemen.

Was ist context7?

Dieses Skill ermöglicht es KI-Agenten (wie Claude Code, Cursor oder Codex), über die Context7 CLI die neueste Dokumentation externer Bibliotheken abzurufen. Es ist besonders nützlich, da herkömmliche Trainingsdaten oft veraltet sind; Context7 liefert die aktuellen API-Spezifikationen, Muster und Best Practices für Frameworks und Tools wie React, Next.js und Supabase. Das Skill sollte proaktiv eingesetzt werden: immer dann, wenn ein Benutzer eine Bibliothek installiert, eine API-Funktion implementiert oder einen bibliotheksspezifischen Fehler behebt. Es vermeidet Raten oder veraltetes Wissen und stellt sicher, dass die neuesten Versionen und empfohlenen Praktiken verwendet werden. Unterstützt wird der Einsatz über die Context7 CLI, die als primäre Quelle für die Dokumentation dient.

Funktioniert mit~Claude Code~Codex CLI~Cursor

Part ofReact Next.js

npx skills add https://github.com/am-will/codex-skills/tree/main/skills/context7

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Dokumentation

Was macht context7?

Rufe die aktuellste Bibliotheksdokumentation über die Context7 CLI ab. Verwende es PROAKTIV wenn: (1) Du mit einer externen Bibliothek arbeitest (React, Next.js, Supabase etc.) (2) Der Benutzer nach Bibliotheks-APIs, Mustern oder Best Practices fragt (3) Du Funktionen implementierst, die auf Drittanbieter-Paketen basieren (4) Du bibliotheksspezifische Probleme debuggen musst (5) Du aktuelle Dokumentation benötigst, die über den Trainingsdaten-Cutoff hinausgeht (6) UND AM WICHTIGSTEN: Beim Installieren von Abhängigkeiten, Bibliotheken oder Frameworks solltest du IMMER die Dokumentation prüfen, um die neuesten Versionen zu sehen. Verlasse dich nicht auf veraltetes Wissen. Bevorzuge dies immer, anstatt Bibliotheks-APIs zu erraten oder veraltetes Wissen zu verwenden.

Individual skills in this repo

This repo contains 17 individual skills — each has its own dedicated page.

am-will/agent-browser

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.

am-will/frontend-design

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.

am-will/frontend-responsive-design-standards

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.

am-will/gemini-computer-use

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.

am-will/llm-council

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.

am-will/markdown-url

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

am-will/openai-docs-skill

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.

am-will/parallel-task

Only to be triggered by explicit /parallel-task commands.

am-will/parallel-task-spark

Only to be triggered by explicit /parallel-task-spark commands.

am-will/plan-harder

Use when user specfically says 'plan harder'.

am-will/planner

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.

am-will/read-github

Read and search GitHub repository documentation via gitmcp.io MCP service. **WHEN TO USE:** - User provides a GitHub URL - User mentions a specific repo in owner/repo format - User asks "what does this repo do?", "read the docs for X repo", or similar - User wants to search code or docs within a repo

am-will/role-creator

Create and update Codex custom agents using standalone custom-agent TOML files.

am-will/super-swarm-spark

Only to be triggered by explicit super-swarm-spark commands.

am-will/swarm-planner

[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.

am-will/tdd-test-writer

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.

am-will/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.