Access current OpenAI developer documentation with MCP tools and model-selection guidance.
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
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add openai/skills --skill openai-docsCompatible with
Supported agents
Prioritizes the OpenAI Developer Docs MCP server for all queries; falls back to web search only on official OpenAI domains if MCP returns no results
Includes reference files for model selection, GPT-5.4 upgrade planning, and prompting guidance; always verifies recommendations against live docs before answering
Covers seven core OpenAI products: Apps SDK, Responses API, Chat Completions, Codex,
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:
epx add openai/skills --skill openai-docsFetches openai-docs from openai/skills 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:
.cursor/skills/openai-docs
Restart Cursor to activate openai-docs. Access via /openai-docsin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
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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Solid pick for teams standardizing on skills: openai-docs is focused, and the summary matches what you get after install.
openai-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
openai-docs reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added openai-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
openai-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: openai-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: openai-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.
openai-docs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added openai-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in openai-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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