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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use the OpenAI developer documentation MCP server from the shell to search and fetch authoritative docs. Always do this for OpenAI platform work instead of relying on memory or non-official sources.
scripts/openai-docs-mcp.sh (do not rely on Codex MCP tools).search or list to find the best doc page, then fetch the page (or anchor) for exact text.scripts/openai-docs-mcp.sh search "Responses API" 5
scripts/openai-docs-mcp.sh fetch https://platform.openai.com/docs/guides/migrate-to-responses
search with a focused query. If unsure, use list to browse.fetch the most relevant URL (optionally add an anchor).The CLI wrapper is at scripts/openai-docs-mcp.sh and uses curl + jq against https://developers.openai.com/mcp.
Subcommands:
init: initialize and inspect server capabilities.tools: list available tools on the MCP server.search <query> [limit] [cursor]: return JSON hits from the docs index.list [limit] [cursor]: browse docs index.fetch <url> [anchor]: return markdown for a doc page or section.endpoints: list OpenAPI endpoints.openapi <endpoint-url> [lang1,lang2] [code-only]: fetch OpenAPI schema or code samples.Environment:
MCP_URL: override the default MCP endpoint.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
Create or update Codex hooks for global or project scope by asking for scope and hook type when ambiguous, then writing the hook config, scripts, and any required feature flag config.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Build, transform, audit, and migrate prompts for GPT-5.6 Sol using outcome-first contracts, explicit success criteria, evidence and tool rules, approval boundaries, output requirements, and stop conditions. Use when someone asks for a GPT-5.6 prompt, wants an existing prompt optimized for GPT-5.6, or needs a prompt stack adapted from an older model.
日本語の概要は準備中です。原文の説明を表示しています。