AI/ML

openai-docs

openai/skills · updated Apr 8, 2026

$npx skills add https://github.com/openai/skills --skill openai-docs
summary

Access current OpenAI developer documentation with MCP tools and model-selection guidance.

  • Prioritizes the OpenAI Developer Docs MCP server for all queries; falls back to web search only on official OpenAI domains if MCP returns no results
  • Includes reference files for model selection, GPT-5.4 upgrade planning, and prompting guidance; always verifies recommendations against live docs before answering
  • Covers seven core OpenAI products: Apps SDK, Responses API, Chat Completions, Codex,
skill.md

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. This skill may also load targeted files from references/ for model-selection and GPT-5.4-specific requests, but current OpenAI docs remain authoritative. 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.
  • Load only the relevant file from references/ when the question is about model selection or a GPT-5.4 upgrade.

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 and whether the request is general docs lookup, model selection, a GPT-5.4 upgrade, or a GPT-5.4 prompt upgrade.
  2. If it is a model-selection request, load references/latest-model.md.
  3. If it is an explicit GPT-5.4 upgrade request, load references/upgrading-to-gpt-5p4.md.
  4. If the upgrade may require prompt changes, or the workflow is research-heavy, tool-heavy, coding-oriented, multi-agent, or long-running, also load references/gpt-5p4-prompting-guide.md.
  5. Search docs with a precise query.
  6. Fetch the best page and the exact section needed (use anchor when possible).
  7. For GPT-5.4 upgrade reviews, always make the per-usage-site output explicit: target model, starting reasoning recommendation, phase assessment when relevant, prompt blocks, and compatibility status.
  8. Answer with concise guidance and cite the doc source, using the reference files only as helper context.

Reference map

Read only what you need:

  • references/latest-model.md -> model-selection and "best/latest/current model" questions; verify every recommendation against current OpenAI docs before answering.
  • references/upgrading-to-gpt-5p4.md -> only for explicit GPT-5.4 upgrade and upgrade-planning requests; verify the checklist and compatibility guidance against current OpenAI docs before answering.
  • references/gpt-5p4-prompting-guide.md -> prompt rewrites and prompt-behavior upgrades for GPT-5.4; verify prompting guidance against current OpenAI docs before answering.

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.
  • Reference files are convenience guides only; for volatile guidance such as recommended models, upgrade instructions, or prompting advice, current OpenAI docs always win.
  • 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.
general reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    openai-docs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Piyush G· Sep 9, 2024

    Keeps context tight: openai-docs is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Aug 8, 2024

    Registry listing for openai-docs matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Jul 7, 2024

    openai-docs reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ganesh Mohane· Jun 6, 2024

    I recommend openai-docs for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Oshnikdeep· May 5, 2024

    Useful defaults in openai-docs — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Apr 4, 2024

    openai-docs has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Mar 3, 2024

    Solid pick for teams standardizing on skills: openai-docs is focused, and the summary matches what you get after install.

  • Pratham Ware· Feb 2, 2024

    We added openai-docs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yash Thakker· Jan 1, 2024

    openai-docs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.