openai-docs▌
openai/skills · updated Jun 4, 2026
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Access current OpenAI developer documentation with MCP tools and model-selection guidance.
- ›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,
OpenAI Docs
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. This skill may also load targeted files from references/ for model-selection and GPT-5.4-specific requests, but current OpenAI docs remain authoritative. Only if the MCP server is installed and returns no meaningful results should you fall back to web search.
Quick start
- Use
mcp__openaiDeveloperDocs__search_openai_docsto find the most relevant doc pages. - Use
mcp__openaiDeveloperDocs__fetch_openai_docto pull exact sections and quote/paraphrase accurately. - Use
mcp__openaiDeveloperDocs__list_openai_docsonly when you need to browse or discover pages without a clear query. - Load only the relevant file from
references/when the question is about model selection or a GPT-5.4 upgrade.
OpenAI product snapshots
- Apps SDK: Build ChatGPT apps by providing a web component UI and an MCP server that exposes your app's tools to ChatGPT.
- Responses API: A unified endpoint designed for stateful, multimodal, tool-using interactions in agentic workflows.
- Chat Completions API: Generate a model response from a list of messages comprising a conversation.
- Codex: OpenAI's coding agent for software development that can write, understand, review, and debug code.
- gpt-oss: Open-weight OpenAI reasoning models (gpt-oss-120b and gpt-oss-20b) released under the Apache 2.0 license.
- Realtime API: Build low-latency, multimodal experiences including natural speech-to-speech conversations.
- Agents SDK: A toolkit for building agentic apps where a model can use tools and context, hand off to other agents, stream partial results, and keep a full trace.
If MCP server is missing
If MCP tools fail or no OpenAI docs resources are available:
- Run the install command yourself:
codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp - If it fails due to permissions/sandboxing, immediately retry the same command with escalated permissions and include a 1-sentence justification for approval. Do not ask the user to run it yet.
- Only if the escalated attempt fails, ask the user to run the install command.
- Ask the user to restart Codex.
- Re-run the doc search/fetch after restart.
Workflow
- Clarify the product scope and whether the request is general docs lookup, model selection, a GPT-5.4 upgrade, or a GPT-5.4 prompt upgrade.
- If it is a model-selection request, load
references/latest-model.md. - If it is an explicit GPT-5.4 upgrade request, load
references/upgrading-to-gpt-5p4.md. - If the upgrade may require prompt changes, or the workflow is research-heavy, tool-heavy, coding-oriented, multi-agent, or long-running, also load
references/gpt-5p4-prompting-guide.md. - Search docs with a precise query.
- Fetch the best page and the exact section needed (use
anchorwhen possible). - For GPT-5.4 upgrade reviews, always make the per-usage-site output explicit: target model, starting reasoning recommendation,
phaseassessment when relevant, prompt blocks, and compatibility status. - Answer with concise guidance and cite the doc source, using the reference files only as helper context.
Reference map
Read only what you need:
references/latest-model.md-> model-selection and "best/latest/current model" questions; verify every recommendation against current OpenAI docs before answering.references/upgrading-to-gpt-5p4.md-> only for explicit GPT-5.4 upgrade and upgrade-planning requests; verify the checklist and compatibility guidance against current OpenAI docs before answering.references/gpt-5p4-prompting-guide.md-> prompt rewrites and prompt-behavior upgrades for GPT-5.4; verify prompting guidance against current OpenAI docs before answering.
Quality rules
- Treat OpenAI docs as the source of truth; avoid speculation.
- Keep quotes short and within policy limits; prefer paraphrase with citations.
- If multiple pages differ, call out the difference and cite both.
- Reference files are convenience guides only; for volatile guidance such as recommended models, upgrade instructions, or prompting advice, current OpenAI docs always win.
- If docs do not cover the user’s need, say so and offer next steps.
Tooling notes
- Always use MCP doc tools before any web search for OpenAI-related questions.
- If the MCP server is installed but returns no meaningful results, then use web search as a fallback.
- When falling back to web search, restrict to official OpenAI domains (developers.openai.com, platform.openai.com) and cite sources.
How to use openai-docs on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add openai-docs
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches openai-docs from GitHub repository openai/skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate openai-docs. Access the skill through slash commands (e.g., /openai-docs) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★47 reviews- ★★★★★Camila Malhotra· Dec 28, 2024
Solid pick for teams standardizing on skills: openai-docs is focused, and the summary matches what you get after install.
- ★★★★★Evelyn Park· Dec 24, 2024
openai-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Layla Smith· Dec 8, 2024
openai-docs reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Evelyn Singh· Nov 27, 2024
We added openai-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Diego Kapoor· Nov 19, 2024
openai-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Nikhil Kapoor· Nov 15, 2024
Keeps context tight: openai-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Camila Kapoor· Oct 18, 2024
Keeps context tight: openai-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Nikhil Shah· Oct 10, 2024
openai-docs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Nikhil Sharma· Oct 6, 2024
We added openai-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Zara Reddy· Sep 17, 2024
Useful defaults in openai-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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