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

Sobre este Skill

Cenario recomendado: Ideal for AI agents that need 1) check whether the docs mcp server is available. Resumo localizado: # 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.

Recursos

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).

# Tópicos principais

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

Skill Overview

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

Cenario recomendado: Ideal for AI agents that need 1) check whether the docs mcp server is available. Resumo localizado: # 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.

Por que usar essa habilidade

Recomendacao: 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), then

Melhor para

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

↓ Casos de Uso Práticos for openai-knowledge

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

! Segurança e Limitações

  • Limitacao: When you need endpoint schemas or parameters, use:
  • Limitacao: 3) If MCP is not configured, guide setup (do not change config unless asked)
  • Limitacao: 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.

Demo 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 e etapas de instalação

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

? Perguntas frequentes

O que é openai-knowledge?

Cenario recomendado: Ideal for AI agents that need 1) check whether the docs mcp server is available. Resumo localizado: # 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.

Como instalar openai-knowledge?

Execute o comando: npx killer-skills add yuichi176/artlyst-manager/openai-knowledge. Ele funciona com Cursor, Windsurf, VS Code, Claude Code e mais de 19 outros IDEs.

Quais são os casos de uso de openai-knowledge?

Os principais casos de uso incluem: Caso de uso: Applying 1) Check whether the Docs MCP server is available, Caso de uso: Applying If the mcp openaiDeveloperDocs tools are available, use them, Caso de uso: Applying If you are unsure, run codex mcp list and check for openaiDeveloperDocs.

Quais IDEs são compatíveis com openai-knowledge?

Esta skill é compatível com 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 a CLI do Killer-Skills para uma instalação unificada.

openai-knowledge tem limitações?

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

↓ Como instalar este skill

  1. 1. Abra o terminal

    Abra o terminal ou linha de comando no diretório do projeto.

  2. 2. Execute o comando de instalação

    Execute: npx killer-skills add yuichi176/artlyst-manager/openai-knowledge. A CLI detectará sua IDE ou agente automaticamente e configurará a skill.

  3. 3. Comece a usar o skill

    O skill já está ativo. Seu agente de IA pode usar openai-knowledge imediatamente no projeto atual.

! 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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