openai-knowledge
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 skills add majiayu000/claude-skill-registry --skill openai-knowledge-yuichi176-artlyst --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# OpenAI Knowledge ## Overview Use the OpenAI Developer Documentation MCP server to search and fetch exact docs (markdown), then base your answer on that text instead of guessing. ## Workflow ### 1) Check whether the Docs MCP server is available If the `mcp__openaiDeveloperDocs__*` tools are available, use them. If you are unsure, run `codex mcp list` and check for `openaiDeveloperDocs`. ### 2) Use MCP tools to pull exact docs - Search first, then fetch the specific page(s). - `mcp__openaiDeveloperDocs__search_openai_docs` → pick the best URL. - `mcp__openaiDeveloperDocs__fetch_openai_doc` → retrieve the exact markdown (optionally with an `anchor`). - When you need endpoint schemas or parameters, use: - `mcp__openaiDeveloperDocs__get_openapi_spec` - `mcp__openaiDeveloperDocs__list_api_endpoints` Base your answer on the fetched text and quote or paraphrase it precisely. Do not invent flags, field names, defaults, or limits. ### 3) If MCP is not configured, guide setup (do not change config unless asked) Provide one of these setup options, then ask the user to restart the Codex session so the tools load: - CLI: - `codex mcp add openaiDeveloperDocs --url https://developers.openai.com/
- Overview
- Workflow
- 1) Check whether the Docs MCP server is available
- 2) Use MCP tools to pull exact docs
- 3) If MCP is not configured, guide setup (do not change config unless asked)
What does the openai-knowledge skill do?
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`.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill openai-knowledge-yuichi176-artlyst --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.