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.
Best use case
openai-docs-skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. 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.
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.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "openai-docs-skill" skill to help with this workflow task. Context: 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.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/openai-docs-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How openai-docs-skill Compares
| Feature / Agent | openai-docs-skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# OpenAI Docs MCP Skill ## Overview 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. ## Core rules - Always use this skill for OpenAI API/SDK/Apps/Codex questions or when precise, current docs are required. - Query the MCP server via the CLI wrapper in `scripts/openai-docs-mcp.sh` (do not rely on Codex MCP tools). - Use `search` or `list` to find the best doc page, then `fetch` the page (or anchor) for exact text. - Surface the doc URL you used in your response so sources are clear. ## Quick start ```bash scripts/openai-docs-mcp.sh search "Responses API" 5 scripts/openai-docs-mcp.sh fetch https://platform.openai.com/docs/guides/migrate-to-responses ``` ## Workflow 1. Discover: `search` with a focused query. If unsure, use `list` to browse. 2. Read: `fetch` the most relevant URL (optionally add an anchor). 3. Apply: summarize and/or quote relevant sections; include the URL. ## Script reference 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.
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