openai-knowledge — for Claude Code openai-knowledge, artlyst-manager, community, for Claude Code, ide skills, mcp__openaiDeveloperDocs__*, codex mcp list, openaiDeveloperDocs, anchor, Config file (

v1.0.0
GitHub

À propos de ce Skill

Scenario recommande : Ideal for AI agents that need 1) check whether the docs mcp server is available. Resume localise : # 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. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Fonctionnalités

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).

# Sujets clés

for Claude Code mcp__openaiDeveloperDocs__* codex mcp list openaiDeveloperDocs anchor Config file (
yuichi176 yuichi176
[0]
[0]
Mis à jour: 5/3/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Scenario recommande : Ideal for AI agents that need 1) check whether the docs mcp server is available. Resume localise : # 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. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Pourquoi utiliser cette compétence

Recommandation : openai-knowledge helps agents 1) check whether the docs mcp server is available. OpenAI Knowledge Overview Use the OpenAI Developer Documentation MCP server to search and fetch exact docs (markdown)

Meilleur pour

Scenario recommande : Ideal for AI agents that need 1) check whether the docs mcp server is available.

↓ Cas d'utilisation exploitables for openai-knowledge

Cas d'usage : Applying 1) Check whether the Docs MCP server is available
Cas d'usage : Applying If the mcp openaiDeveloperDocs tools are available, use them
Cas d'usage : Applying If you are unsure, run codex mcp list and check for openaiDeveloperDocs

! Sécurité et Limitations

  • Limitation : When you need endpoint schemas or parameters, use:
  • Limitation : 3) If MCP is not configured, guide setup (do not change config unless asked)
  • Limitation : Do not invent flags, field names, defaults, or limits

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Démo Labs

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 et étapes d’installation

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

? Questions fréquentes

Qu’est-ce que openai-knowledge ?

Scenario recommande : Ideal for AI agents that need 1) check whether the docs mcp server is available. Resume localise : # 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. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Comment installer openai-knowledge ?

Exécutez la commande : npx killer-skills add yuichi176/artlyst-manager. Elle fonctionne avec Cursor, Windsurf, VS Code, Claude Code et plus de 19 autres IDE.

Quels sont les cas d’usage de openai-knowledge ?

Les principaux cas d’usage incluent : Cas d'usage : Applying 1) Check whether the Docs MCP server is available, Cas d'usage : Applying If the mcp openaiDeveloperDocs tools are available, use them, Cas d'usage : Applying If you are unsure, run codex mcp list and check for openaiDeveloperDocs.

Quels IDE sont compatibles avec openai-knowledge ?

Cette skill est compatible avec 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. Utilisez la CLI Killer-Skills pour une installation unifiée.

Y a-t-il des limites pour openai-knowledge ?

Limitation : When you need endpoint schemas or parameters, use:. Limitation : 3) If MCP is not configured, guide setup (do not change config unless asked). Limitation : Do not invent flags, field names, defaults, or limits.

↓ Comment installer ce skill

  1. 1. Ouvrir le terminal

    Ouvrez le terminal ou la ligne de commande dans le dossier du projet.

  2. 2. Lancer la commande d’installation

    Exécutez : npx killer-skills add yuichi176/artlyst-manager. La CLI détectera automatiquement votre IDE ou votre agent et configurera la skill.

  3. 3. Commencer à utiliser le skill

    Le skill est maintenant actif. Votre agent IA peut utiliser openai-knowledge immédiatement dans le projet.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

openai-knowledge

Install openai-knowledge, an AI agent skill for AI agent workflows and automation. Explore features, use cases, limitations, and setup guidance.

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

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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