URLをMarkdown変換（markdown.new経由） は何をしますか？
アクセスしたい任意のWebサイトのURLの先頭にプレフィックスを付けることで、そのサイトをmarkdown.new経由で開きます。使用タイミング: - 通常はWebサイトのリンクを開いてコンテンツを読むとき（ドキュメント、ブログ記事、チェンジログ、GitHub Issueなど） - メモのコピーや要約のために、よりクリーンなMarkdown対応ビューが必要なとき
アクセスしたい任意のWebサイトのURLをmarkdown.newにルーティングし、クリーンなMarkdown形式で表示します。ドキュメント、ブログ記事、チェンジログ、GitHub Issueなどを読み込む際や、メモのコピー・要約に最適です。
このスキルは、指定された任意のWebサイトのURLを自動的に「markdown.new」サービス経由で開き、読みやすいMarkdownビューを提供します。通常はブラウザでウェブページをそのまま開くところですが、このスキルを使うと、コンテンツが整形されたMarkdownとして表示されるため、コピー＆ペーストが容易になり、AIエージェント（Claude Code, Cursor, Codexなど）での情報抽出や要約作業の効率が向上します。主に開発者向けドキュメント、ブログ、GitHub Issue、チェンジログなど、リーディング主体のサイトで効果を発揮します。仕組みとしては、元のURLの前に「https://markdown.new/?url=」を付加するだけの単純なルーティング処理で動作し、特別なパースやスクレイピングは不要です。主要なAIコーディングエージェントと互換性があり、簡単な設定で利用開始できます。
npx skills add https://github.com/am-will/codex-skills/tree/main/skills/markdown-urlInstalled? Explore more ライティング＆編集 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
アクセスしたい任意のWebサイトのURLの先頭にプレフィックスを付けることで、そのサイトをmarkdown.new経由で開きます。使用タイミング: - 通常はWebサイトのリンクを開いてコンテンツを読むとき（ドキュメント、ブログ記事、チェンジログ、GitHub Issueなど） - メモのコピーや要約のために、よりクリーンなMarkdown対応ビューが必要なとき
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 Do not rely on outdated knowledge. Always prefer this over guessing library APIs or using outdated knowledge.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.
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.
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
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.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors