KS
Killer-Skills

openai-docs — how to use openai-docs how to use openai-docs, openai-docs MCP server integration, openai-docs alternative, openai-docs setup guide, what is openai-docs, openai-docs vs web search, openai-docs install, openai-docs documentation retrieval

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 openai-docs is a skill that offers authoritative and current guidance from OpenAI developer documentation using the MCP server.

Features

Utilizes `mcp__openaiDeveloperDocs__search_openai_docs` to find relevant doc pages
Employs `mcp__openaiDeveloperDocs__fetch_openai_doc` to pull exact sections
Prioritizes developer docs MCP tools over web search for OpenAI-related queries
Falls back to web search when the MCP server returns no meaningful results
Integrates with the developers.openai.com MCP server for accurate information
Supports quick start functionality for efficient documentation retrieval

# Core Topics

raivitor raivitor
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
32
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add raivitor/config-codex/openai-docs

Agent Capability Analysis

The openai-docs MCP Server by raivitor is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use openai-docs, openai-docs MCP server integration, openai-docs alternative.

Ideal Agent Persona

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

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

Capabilities Granted for openai-docs MCP Server

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
Project
SKILL.md
3.0 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

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.

Related Skills

Looking for an alternative to openai-docs or building a Categories.community AI Agent? Explore these related open-source MCP Servers.

View All

widget-generator

Logo of f
f

widget-generator is an open-source AI agent skill for creating widget plugins that are injected into prompt feeds on prompts.chat. It supports two rendering modes: standard prompt widgets using default PromptCard styling and custom render widgets built as full React components.

149.6k
0
Design

chat-sdk

Logo of lobehub
lobehub

chat-sdk is a unified TypeScript SDK for building chat bots across multiple platforms, providing a single interface for deploying bot logic.

73.0k
0
Communication

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication