Provide authoritative, current guidance from OpenAI developer docs using the developers.openai.com MCP server. Always prioritize the developer docs MCP tools over web.run for OpenAI-related questions. Only if the MCP server is installed and returns no meaningful results should you fall back to web search.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionopenai-docsExecute the skills CLI command in your project's root directory to begin installation:
Fetches openai-docs from boshu2/agentops and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate openai-docs. Access via /openai-docs in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Provide authoritative, current guidance from OpenAI developer docs using the developers.openai.com MCP server. Always prioritize the developer docs MCP tools over web.run for OpenAI-related questions. Only if the MCP server is installed and returns no meaningful results should you fall back to web search.
mcp__openaiDeveloperDocs__search_openai_docs to find the most relevant doc pages.mcp__openaiDeveloperDocs__fetch_openai_doc to pull exact sections and quote/paraphrase accurately.mcp__openaiDeveloperDocs__list_openai_docs only when you need to browse or discover pages without a clear query.If MCP tools fail or no OpenAI docs resources are available:
In Codex:
codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcpIn Claude Code:
~/.claude/settings.json under "mcpServers":
{
"mcpServers": {
"openaiDeveloperDocs": {
"type": "url",
"url": "https://developers.openai.com/mcp"
}
}
}
In other agents: Ask the user to configure the MCP server per their agent's documentation.
anchor when possible).User says: "How do I use tool calls with the Responses API?"
What happens:
User says: "Does Codex support read-only review workflows?"
What happens:
| Problem | Cause | Solution |
|---|---|---|
| MCP docs search returns nothing | MCP server not installed | Install openaiDeveloperDocs MCP, restart Codex, retry search |
| Results are stale/unclear | Query too broad | Narrow query by product + feature, then fetch exact page section |
| Need citation-ready answer | Source not fetched | Fetch specific doc section before answering |
| Docs do not cover question | Gap in official docs | State gap explicitly and provide safe best-effort guidance |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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I recommend openai-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: openai-docs is focused, and the summary matches what you get after install.
We added openai-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
openai-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: openai-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.
openai-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in openai-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for openai-docs matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in openai-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
openai-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.
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