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openai-knowledge Skill

AI Agent SkillDocumentationPythonOpen source

Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; other Published by openai in openai-agents-python.

What is openai-knowledge Skill?

Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; other Published by openai in openai-agents-python. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Documentation
  • Research
  • Documentation use cases
  • Research use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use openai-knowledge Skill

  • Use it for documentation.
  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: openai
  • Repository: openai/openai-agents-python
  • Skill file: .agents/skills/openai-knowledge/SKILL.md

What it does

Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; other

Skill instructions

OpenAI Knowledge Overview Use the OpenAI Developer Documentation MCP server to search and fetch exact docs (markdown), then base your answer on that text instead of guessing. Workflow 1) Check whether the Docs MCP server is available If the mcpopenaiDeveloperDocs tools are available, use them. If you are unsure, run codex mcp list and check for openaiDeveloperDocs. 2) Use MCP tools to pull exact docs - Search first, then fetch the specific page or pages. - mcpopenaiDeveloperDocssearchopenaidocs → pick the best URL. - mcpopenaiDeveloperDocsfetchopenaidoc → retrieve the exact markdown (optionally with an anchor). - When you need endpoint schemas or parameters, use: - mcpopenaiDeveloperDocsgetopenapispec - mcpopenaiDeveloperDocslistapiendpoints Base your answer on the fetched text and quote or paraphrase it precisely. Do not invent flags, field names, defaults, or limits. 3) If MCP is not configured, guide setup (do not change config unless asked) Provide one of these setup options, then

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Frequently asked questions

What is openai-knowledge?

openai-knowledge is a open-source AI agent skill with Copy skill directory. Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation.

Who is openai-knowledge best for?

openai-knowledge is best for reusing agent instructions, scripts, and references, documentation workflows, research workflows.

How do I install openai-knowledge?

Install or run openai-knowledge using Copy skill directory. Check openai-knowledge for the latest setup command.

Is openai-knowledge actively maintained?

openai-knowledge may need a closer maintenance check before production use.

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Last commit
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Repository age
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License
MIT

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