.agents/skills/openai-knowledge/SKILL.md
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
npx skillsauth add openai/openai-agents-python openai-knowledgeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use the OpenAI Developer Documentation MCP server to search and fetch exact docs (markdown), then base your answer on that text instead of guessing.
If the mcp__openaiDeveloperDocs__* tools are available, use them.
If you are unsure, run codex mcp list and check for openaiDeveloperDocs.
mcp__openaiDeveloperDocs__search_openai_docs → pick the best URL.mcp__openaiDeveloperDocs__fetch_openai_doc → retrieve the exact markdown (optionally with an anchor).mcp__openaiDeveloperDocs__get_openapi_specmcp__openaiDeveloperDocs__list_api_endpointsBase your answer on the fetched text and quote or paraphrase it precisely. Do not invent flags, field names, defaults, or limits.
Provide one of these setup options, then ask the user to restart the Codex session so the tools load:
codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp~/.codex/config.toml):
[mcp_servers.openaiDeveloperDocs]
url = "https://developers.openai.com/mcp"
Also point to: https://developers.openai.com/resources/docs-mcp#quickstart
testing
Use when the task requires capturing or automating a real browser from the terminal.
development
Build a concise prior authorization packet from local case files and payer policy docs.
development
Fix the tiny credit-note formatting bug and rerun the exact targeted test command.
testing
Analyze CSV files in /mnt/data and return concise numeric summaries.