openai-knowledge — community openai-knowledge, artlyst, community, ide skills

v1.0.0

About this Skill

Perfect for AI Agents needing accurate OpenAI API documentation and development support. 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 (

yuichi176 yuichi176
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Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
7/11
Quality Score
39
Canonical Locale
en
Detected Body Locale
en

Perfect for AI Agents needing accurate OpenAI API documentation and development support. 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 (

Core Value

Empowers agents to search and fetch exact OpenAI Developer Documentation using the MCP server, providing accurate information for development purposes with markdown support, enabling precise answers based on official documentation instead of guessing, and leveraging tools like `codex mcp list` and `mcp__openaiDeveloperDocs` for seamless integration.

Ideal Agent Persona

Perfect for AI Agents needing accurate OpenAI API documentation and development support.

Capabilities Granted for openai-knowledge

Searching OpenAI API documentation for specific endpoints
Fetching exact markdown documentation for development purposes
Validating API usage against official OpenAI documentation

! Prerequisites & Limits

  • Requires availability of `mcp__openaiDeveloperDocs` tools
  • Dependent on OpenAI Developer Documentation MCP server accessibility

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is openai-knowledge?

Perfect for AI Agents needing accurate OpenAI API documentation and development support. 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 (

How do I install openai-knowledge?

Run the command: npx killer-skills add yuichi176/artlyst/openai-knowledge. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for openai-knowledge?

Key use cases include: Searching OpenAI API documentation for specific endpoints, Fetching exact markdown documentation for development purposes, Validating API usage against official OpenAI documentation.

Which IDEs are compatible with openai-knowledge?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for openai-knowledge?

Requires availability of `mcp__openaiDeveloperDocs` tools. Dependent on OpenAI Developer Documentation MCP server accessibility.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add yuichi176/artlyst/openai-knowledge. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use openai-knowledge immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

openai-knowledge

Install openai-knowledge, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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 mcp__openaiDeveloperDocs__* 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(s).
    • mcp__openaiDeveloperDocs__search_openai_docs → pick the best URL.
    • mcp__openaiDeveloperDocs__fetch_openai_doc → retrieve the exact markdown (optionally with an anchor).
  • When you need endpoint schemas or parameters, use:
    • mcp__openaiDeveloperDocs__get_openapi_spec
    • mcp__openaiDeveloperDocs__list_api_endpoints

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 ask the user to restart the Codex session so the tools load:

  • CLI:
    • codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp
  • Config file (~/.codex/config.toml):
    • Add:
      toml
      1[mcp_servers.openaiDeveloperDocs] 2url = "https://developers.openai.com/mcp"

Also point to: https://developers.openai.com/resources/docs-mcp#quickstart

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