openai-docs — community openai-docs, config-codex, community, ide skills

v1.0.0
GitHub

About this Skill

Perfect for AI Agents needing authoritative OpenAI developer documentation and guidance from the developers.openai.com MCP server Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK,

raivitor raivitor
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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
32
Canonical Locale
en
Detected Body Locale
en

Perfect for AI Agents needing authoritative OpenAI developer documentation and guidance from the developers.openai.com MCP server Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK,

Core Value

Empowers agents to provide accurate and current OpenAI-related information by prioritizing MCP tools over web search, utilizing protocols like MCP server queries and leveraging developer docs for enhanced knowledge retrieval

Ideal Agent Persona

Perfect for AI Agents needing authoritative OpenAI developer documentation and guidance from the developers.openai.com MCP server

↓ Capabilities Granted for openai-docs

Searching OpenAI developer docs using mcp__openaiDeveloperDocs__search_openai_docs
Fetching exact sections of OpenAI documentation with mcp__openaiDeveloperDocs__fetch_openai_doc
Resolving OpenAI-related queries with authoritative guidance

! Prerequisites & Limits

  • Requires MCP server installation
  • Dependent on developers.openai.com MCP server availability and response

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.

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 handoff, 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-docs?

Perfect for AI Agents needing authoritative OpenAI developer documentation and guidance from the developers.openai.com MCP server Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK,

How do I install openai-docs?

Run the command: npx killer-skills add raivitor/config-codex/openai-docs. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for openai-docs?

Key use cases include: Searching OpenAI developer docs using mcp__openaiDeveloperDocs__search_openai_docs, Fetching exact sections of OpenAI documentation with mcp__openaiDeveloperDocs__fetch_openai_doc, Resolving OpenAI-related queries with authoritative guidance.

Which IDEs are compatible with openai-docs?

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-docs?

Requires MCP server installation. Dependent on developers.openai.com MCP server availability and response.

↓ 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 raivitor/config-codex/openai-docs. 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-docs 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-docs

Install openai-docs, 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 Docs

Provide authoritative, current guidance from OpenAI developer docs using the developers.openai.com MCP server. Always prioritize the developer docs MCP tools over web.run for OpenAI-related questions. Only if the MCP server is installed and returns no meaningful results should you fall back to web search.

Quick start

  • Use mcp__openaiDeveloperDocs__search_openai_docs to find the most relevant doc pages.
  • Use mcp__openaiDeveloperDocs__fetch_openai_doc to pull exact sections and quote/paraphrase accurately.
  • Use mcp__openaiDeveloperDocs__list_openai_docs only when you need to browse or discover pages without a clear query.

OpenAI product snapshots

  1. Apps SDK: Build ChatGPT apps by providing a web component UI and an MCP server that exposes your app's tools to ChatGPT.
  2. Responses API: A unified endpoint designed for stateful, multimodal, tool-using interactions in agentic workflows.
  3. Chat Completions API: Generate a model response from a list of messages comprising a conversation.
  4. Codex: OpenAI's coding agent for software development that can write, understand, review, and debug code.
  5. gpt-oss: Open-weight OpenAI reasoning models (gpt-oss-120b and gpt-oss-20b) released under the Apache 2.0 license.
  6. Realtime API: Build low-latency, multimodal experiences including natural speech-to-speech conversations.
  7. Agents SDK: A toolkit for building agentic apps where a model can use tools and context, hand off to other agents, stream partial results, and keep a full trace.

If MCP server is missing

If MCP tools fail or no OpenAI docs resources are available:

  1. Run the install command yourself: codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp
  2. If it fails due to permissions/sandboxing, immediately retry the same command with escalated permissions and include a 1-sentence justification for approval. Do not ask the user to run it yet.
  3. Only if the escalated attempt fails, ask the user to run the install command.
  4. Ask the user to restart Codex.
  5. Re-run the doc search/fetch after restart.

Workflow

  1. Clarify the product scope (Codex, OpenAI API, or ChatGPT Apps SDK) and the task.
  2. Search docs with a precise query.
  3. Fetch the best page and the specific section needed (use anchor when possible).
  4. Answer with concise guidance and cite the doc source.
  5. Provide code snippets only when the docs support them.

Quality rules

  • Treat OpenAI docs as the source of truth; avoid speculation.
  • Keep quotes short and within policy limits; prefer paraphrase with citations.
  • If multiple pages differ, call out the difference and cite both.
  • If docs do not cover the user’s need, say so and offer next steps.

Tooling notes

  • Always use MCP doc tools before any web search for OpenAI-related questions.
  • If the MCP server is installed but returns no meaningful results, then use web search as a fallback.
  • When falling back to web search, restrict to official OpenAI domains (developers.openai.com, platform.openai.com) and cite sources.

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