A technical skill for querying and fetching authoritative OpenAI developer documentation directly via an MCP server interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openai-docs
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openai-docs using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is OpenAI Docs Skill?
The OpenAI Docs MCP Skill empowers developers and AI agents to access the most current, official documentation for the OpenAI platform. By leveraging the Model Context Protocol (MCP), this skill provides a direct bridge to OpenAI guides, API references, and SDK documentation, ensuring that implementations are based on the latest technical specifications rather than outdated training data.
This skill is essential for working with OpenAI's evolving ecosystem, including Chat Completions, Realtime API, and the ChatGPT Apps SDK. It eliminates guesswork by providing real-time access to endpoint schemas, rate limits, and migration guides, making it a cornerstone for those using Openclaw Skills in their development pipeline.
OpenAI Docs Skill Use Cases
- Researching the latest OpenAI API endpoint parameters and request schemas.
- Migrating legacy implementations to the newest OpenAI Responses API format.
- Accessing code samples in specific programming languages directly from the official docs.
- Verifying rate limits and model capabilities for specific OpenAI engines.
- Integrating up-to-date OpenAI documentation into automated AI agent workflows via Openclaw Skills.
How OpenAI Docs Skill Works
- Discover relevant documentation by using the search command with specific keywords or browsing the index with the list command.
- Identify the most relevant URL and section from the search results to target specific technical information.
- Fetch the content of the documentation page or a specific anchor to retrieve full Markdown-formatted text.
- Extract OpenAPI schemas or code samples for specific endpoints to guide implementation and debugging.
- Apply the gathered intelligence to code generation or troubleshooting tasks while citing the official doc URL source.
OpenAI Docs Skill Setup
Ensure you have curl and jq installed on your system. This addition to your Openclaw Skills relies on a shell script wrapper located in your project directory.
# Initialize the MCP server connection
scripts/openai-docs-mcp.sh init
# Search for specific API documentation
scripts/openai-docs-mcp.sh search "Responses API" 5
# Fetch a specific documentation page
scripts/openai-docs-mcp.sh fetch https://platform.openai.com/docs/guides/migrate-to-responses
Configure the MCP_URL environment variable if you are using a custom endpoint.
OpenAI Docs Skill Data Schema & Taxonomy
The skill interacts with the OpenAI MCP server and processes data in the following formats to support Openclaw Skills workflows:
| Feature | Data Type | Description |
|---|---|---|
| Search Hits | JSON | Array of objects containing titles, URLs, and text snippets. |
| Doc Content | Markdown | Full text of the fetched documentation page or anchor section. |
| OpenAPI Schema | JSON/Code | Technical schema definitions and language-specific snippets. |
| Browse Index | JSON List | Paginated list of available documentation resources. |
OpenAI Docs Skill Advanced Features
- Automated OpenAPI schema extraction for specific endpoints and programming languages.
- Deep-linking support via anchor-based fetching for targeted information retrieval.
- Seamless integration with shell-based AI agents via the provided CLI wrapper.
- Configurable environment variables for custom MCP server deployments within Openclaw Skills.
- High-speed documentation indexing and search limits for efficient multi-agent research.
SKILL.md
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