openai-docs-skill
Query OpenAI's official developer documentation via MCP server for API, SDK, and platform guidance.
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What it does
Search and fetch docs on OpenAI APIs (Chat Completions, Realtime, Responses), SDKs, ChatGPT Apps, Codex, and migrations using a CLI wrapper around the OpenAI Docs MCP server
Includes subcommands for discovery ( search , list ), retrieval ( fetch ), and schema inspection ( endpoints , openapi )
Supports optional anchors for fetching specific doc sections and code sample generation in mu
Installation Guide
How to use openai-docs-skill 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 machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
openai-docs-skill
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches openai-docs-skill from am-will/codex-skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate openai-docs-skill. Access via /openai-docs-skill in your agent's command palette.
Security 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 environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
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
searchorlistto find the best doc page, thenfetchthe page (or anchor) for exact text. - Surface the doc URL you used in your response so sources are clear.
Quick start
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
- Discover:
searchwith a focused query. If unsure, uselistto browse. - Read:
fetchthe most relevant URL (optionally add an anchor). - 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.
List & Monetize Your Skill
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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
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate 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
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Reviews
- CChinedu Verma★★★★★Dec 28, 2024
openai-docs-skill is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- HHana Reddy★★★★★Dec 28, 2024
Keeps context tight: openai-docs-skill is the kind of skill you can hand to a new teammate without a long onboarding doc.
- AAarav Bhatia★★★★★Dec 24, 2024
openai-docs-skill reduced setup friction for our internal harness; good balance of opinion and flexibility.
- CCamila Park★★★★★Dec 16, 2024
openai-docs-skill fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- CChinedu Tandon★★★★★Dec 12, 2024
Registry listing for openai-docs-skill matched our evaluation — installs cleanly and behaves as described in the markdown.
- LLuis Harris★★★★★Dec 12, 2024
openai-docs-skill fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- JJin Perez★★★★★Dec 12, 2024
openai-docs-skill has been reliable in day-to-day use. Documentation quality is above average for community skills.
- PPratham Ware★★★★★Dec 4, 2024
Useful defaults in openai-docs-skill — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- DDev Kapoor★★★★★Dec 4, 2024
We added openai-docs-skill from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- LLuis Rahman★★★★★Dec 4, 2024
openai-docs-skill reduced setup friction for our internal harness; good balance of opinion and flexibility.
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