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

このスキルについて

適した場面: Ideal for AI agents that need 1) check whether the docs mcp server is available. ローカライズされた概要: # 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.

機能

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).

# Core Topics

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

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, 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
Review Score
8/11
Quality Score
49
Canonical Locale
en
Detected Body Locale
en

適した場面: Ideal for AI agents that need 1) check whether the docs mcp server is available. ローカライズされた概要: # 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.

このスキルを使用する理由

推奨ポイント: 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 base

おすすめ

適した場面: Ideal for AI agents that need 1) check whether the docs mcp server is available.

↓ 実現可能なユースケース for openai-knowledge

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

! セキュリティと制限

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

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - 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.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team workflows, approvals, and repeatable execution, move into workflow collections.
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?

適した場面: Ideal for AI agents that need 1) check whether the docs mcp server is available. ローカライズされた概要: # 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.

How do I install openai-knowledge?

Run the command: npx killer-skills add yuichi176/artlyst-manager/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: ユースケース: Applying 1) Check whether the Docs MCP server is available, ユースケース: Applying If the mcp openaiDeveloperDocs tools are available, use them, ユースケース: Applying If you are unsure, run codex mcp list and check for openaiDeveloperDocs.

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?

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

↓ 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-manager/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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