MCPInstall

openai-docs

by boshu2AI & Agents

Use official OpenAI docs.

Installs
733
Last 24h
—
Trending rank
—
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/boshu2/agentops --skill openai-docs
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads openai-docs automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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:

In Codex:

  1. Run: codex mcp add openaiDeveloperDocs --url https://developers.openai.com/mcp
  2. If it fails due to permissions/sandboxing, retry with escalated permissions.
  3. Ask the user to restart Codex, then re-run doc search/fetch.

In Claude Code:

  1. Add the MCP server to ~/.claude/settings.json under "mcpServers": 
    {
  "mcpServers": {
    "openaiDeveloperDocs": {
      "type": "url",
      "url": "https://developers.openai.com/mcp"
    }
  }
}
  2. Restart Claude Code, then re-run doc search/fetch.

In other agents: Ask the user to configure the MCP server per their agent's documentation.

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.

Examples

OpenAI API Guidance

User says: "How do I use tool calls with the Responses API?"

What happens:

  1. Search OpenAI docs MCP for "Responses API tools".
  2. Fetch the most relevant section.
  3. Return implementation guidance with citations.

Codex Capability Check

User says: "Does Codex support read-only review workflows?"

What happens:

  1. Query Codex docs via MCP.
  2. Fetch flag/sandbox references.
  3. Answer with source-backed guidance and constraints.

Troubleshooting

ProblemCauseSolution
MCP docs search returns nothingMCP server not installedInstall openaiDeveloperDocs MCP, restart Codex, retry search
Results are stale/unclearQuery too broadNarrow query by product + feature, then fetch exact page section
Need citation-ready answerSource not fetchedFetch specific doc section before answering
Docs do not cover questionGap in official docsState gap explicitly and provide safe best-effort guidance

Reference Documents

  • references/openai-docs.feature — Executable spec: search official docs, fetch+quote exact sections, doc-grounded not from-memory (soc-qk4b)

FAQ

What does the openai-docs skill do?

Use official OpenAI docs.

How do I install openai-docs?

Run npx skills add https://github.com/boshu2/agentops --skill openai-docs in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/openai-docs/ (personal) or .claude/skills/openai-docs/ (project).

Which AI agents can use openai-docs?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is openai-docs safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains openai-docs?

It is published by boshu2 in boshu2/agentops. It has 733 recorded installs.

More from boshu2/agentops

View all →

council

boshu2/agentops

Compare independent opinions from several models or contexts without inflating agreement. Use when: wanting a second opinion or debate, or summarizing several reviewers' results.

3K installs

doc

boshu2/agentops

Write source-checked docs, READMEs, change descriptions and handoffs. Use when: documenting a change, leaving or resuming a handoff, or drafting a questionnaire for someone else.

Code Quality & Workflow1.5K installs

research

boshu2/agentops

Answer one cited question on code, history, claims or patterns. Use when: asked how it works, why it changed, if a claim or done/shipped report holds, or a pattern warrants a rule.

Productivity & Automation1.5K installs

plan

boshu2/agentops

Shape a request into one end-to-end slice with observable behavior; review write scope and reversible decisions. Use when: planning, breaking down or scoping a change.

Code Quality & Workflow1.5K installs

swarm

boshu2/agentops

Dispatch explicit disjoint packets exactly once through a caller-selected executor. Triggers: "swarm", "dispatch disjoint packets", "parallel explicit tasks".

1.5K installs

rpi

boshu2/agentops

Drive one accepted change through implementation and checks to done, with one fresh review only where a mistake is costly. Use when: asked to run or orchestrate work through RPI.

Code Quality & Workflow1.5K installs

Popular ai & agents skills

View category →

google-agents-cli-publish

google/agents-cli

This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).

AI & Agents513.9K installs

google-agents-cli-eval

google/agents-cli

This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).

AI & Agents513.5K installs

skill-creator

anthropics/skills

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

OfficialAI & Agents416.4K installs

codex-pet

prime-skills/runcomfy-agent-skills

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.

AI & Agents402.1K installs

full-output-enforcement

leonxlnx/taste-skill

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

AI & Agents401K installs

executing-plans

obra/superpowers

Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available

AI & Agents245.7K installs