openai-docs
Access OpenAI developer documentation via Context7 MCP. Provides up-to-date docs for Codex CLI, OpenAI API, Python/Node SDKs, Agents SDK, and MCP configuration. Use when: (1) configuring Codex CLI or MCP servers, (2) writing OpenAI API integrations, (3) building agents with OpenAI SDKs, (4) troubleshooting Codex execution. Triggers: 'openai docs', 'codex documentation', 'openai api reference', 'codex mcp', 'agents sdk'.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
ultrathink - Take a deep breath. We're not here to write code. We're here to make a dent in the universe.
The Vision
Documentation lookups should feel inevitable and authoritative.
Your Work, Step by Step
- Identify target: Pick the right library and query.
- Resolve ID: Use Context7 to get exact docs.
- Query precisely: Ask for focused, answerable snippets.
- Apply results: Convert docs into actionable guidance.
Ultrathink Principles in Practice
- Think Different: Seek the most direct source of truth.
- Obsess Over Details: Use exact IDs and query wording.
- Plan Like Da Vinci: Decide the lookup path before querying.
- Craft, Don't Code: Keep results concise and relevant.
- Iterate Relentlessly: Re-query when ambiguity remains.
- Simplify Ruthlessly: Avoid unnecessary sources.
OpenAI Documentation Access Skill
Access OpenAI's complete developer documentation through Context7 MCP integration.
Quick Start
# Query Codex CLI documentation
mcp__context7__query-docs:
libraryId: "/websites/developers_openai_codex"
query: "your question about Codex CLI"
# Query OpenAI API documentation
mcp__context7__query-docs:
libraryId: "/websites/platform_openai"
query: "your question about OpenAI API"
Available Documentation Libraries
| Library ID | Content | Snippets | Score |
|---|---|---|---|
/websites/developers_openai_codex |
Codex CLI docs | 614 | 75.8 |
/websites/platform_openai |
OpenAI API docs | 9,418 | 69.1 |
/openai/openai-python |
Python SDK | 429 | 90.7 |
/openai/openai-node |
Node.js SDK | 437 | 87.9 |
/openai/codex |
Codex core | 491 | 62.1 |
/openai/codex-action |
GitHub Action | 36 | 78.8 |
Common Queries
Codex CLI Configuration
# MCP server configuration
query-docs:
libraryId: "/websites/developers_openai_codex"
query: "MCP server configuration config.toml remote URL authentication"
# Sandbox modes and permissions
query-docs:
libraryId: "/websites/developers_openai_codex"
query: "sandbox modes read-only workspace-write danger-full-access"
# Session resume and parallel execution
query-docs:
libraryId: "/websites/developers_openai_codex"
query: "exec resume session parallel execution workflow"
OpenAI API Integration
# Chat completions
query-docs:
libraryId: "/websites/platform_openai"
query: "chat completions API streaming function calling"
# Embeddings and vector search
query-docs:
libraryId: "/websites/platform_openai"
query: "embeddings API text-embedding-3 vector dimensions"
# Assistants API
query-docs:
libraryId: "/websites/platform_openai"
query: "assistants API threads messages runs tools"
SDK Usage
# Python SDK async patterns
query-docs:
libraryId: "/openai/openai-python"
query: "async client streaming completions error handling"
# Node.js SDK TypeScript
query-docs:
libraryId: "/openai/openai-node"
query: "TypeScript types streaming response handling"
MCP Configuration Reference
Context7 (Already Configured)
# ~/.codex/config.toml
[mcp_servers.context7]
command = "npx"
args = ["-y", "@upstash/context7-mcp@latest"]
Remote MCP Servers
# Streamable HTTP server format
[mcp_servers.example]
url = "https://example.com/mcp"
bearer_token_env_var = "EXAMPLE_TOKEN"
http_headers = { "X-Custom-Header" = "value" }
STDIO Servers
# Local command-based server
[mcp_servers.local]
command = "npx"
args = ["-y", "@package/mcp-server"]
[mcp_servers.local.env]
API_KEY = "your-key"
Integration with Codex CLI Skill
This skill complements /codex-cli by providing documentation lookup:
- Before execution: Query docs for correct flags/options
- On error: Look up error codes and solutions
- Configuration: Find correct config.toml syntax
Workflow Example
# 1. Query documentation for correct syntax
# Use mcp__context7__query-docs with libraryId="/websites/developers_openai_codex"
# 2. Execute Codex with correct options
codex exec -m gpt-5.2-codex --full-auto "task"
# 3. On error, query docs for solution
# Query: "error code XYZ troubleshooting"
Claude-Codex Documentation Bridge
When Claude needs OpenAI documentation:
- Use Context7 MCP (already available in both Claude and Codex)
- Query appropriate library based on topic
- Apply findings to implementation
This eliminates the need for a separate "openaiDevelopers" MCP - Context7 provides all OpenAI documentation with 614+ Codex CLI snippets and 9,400+ API snippets.
See Also
-
/codex-cli- Codex CLI orchestration skill -
/library-docs- General library documentation via Context7 -
~/.codex/config.toml- MCP server configuration
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-02-02
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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