.claude/skills/openai-docs/SKILL.md
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'.
npx skillsauth add alfredolopez80/multi-agent-ralph-loop openai-docsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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~/.claude/settings.json or CLI/env varsANTHROPIC_DEFAULT_*_MODEL env varsultrathink - Take a deep breath. We're not here to write code. We're here to make a dent in the universe.
Documentation lookups should feel inevitable and authoritative.
Access OpenAI's complete developer documentation through Context7 MCP integration.
# 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"
| 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 |
# 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"
# 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"
# 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"
# ~/.codex/config.toml
[mcp_servers.context7]
command = "npx"
args = ["-y", "@upstash/context7-mcp@latest"]
# Streamable HTTP server format
[mcp_servers.example]
url = "https://example.com/mcp"
bearer_token_env_var = "EXAMPLE_TOKEN"
http_headers = { "X-Custom-Header" = "value" }
# Local command-based server
[mcp_servers.local]
command = "npx"
args = ["-y", "@package/mcp-server"]
[mcp_servers.local.env]
API_KEY = "your-key"
This skill complements /codex-cli by providing documentation lookup:
# 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"
When Claude needs OpenAI documentation:
This eliminates the need for a separate "openaiDevelopers" MCP - Context7 provides all OpenAI documentation with 614+ Codex CLI snippets and 9,400+ API snippets.
/codex-cli - Codex CLI orchestration skill/library-docs - General library documentation via Context7~/.codex/config.toml - MCP server configurationdevelopment
Living knowledge base management. Actions: search (query vault), save (store learning), index (update indices), compile (raw->wiki->rules graduation), init (create vault structure). Follows Karpathy pipeline: ingest->compile->query. Use when: (1) searching accumulated knowledge, (2) saving learnings, (3) compiling raw notes into wiki, (4) initializing a new vault. Triggers: /vault, 'vault search', 'knowledge base', 'save learning'.
testing
Produce a verifiable technical specification before coding. 6 mandatory sections: Interfaces, Behaviors, Invariants (from Aristotle Phase 2), File Plan, Test Plan, Exit Criteria (executable bash commands + expected results). Use when: (1) before implementing features with complexity > 4, (2) as Step 1.5 in orchestrator workflow, (3) when requirements need formalization. Triggers: /spec, 'create spec', 'write specification', 'technical spec'.
testing
Pre-launch shipping checklist orchestrating /gates, /security, /browser-test, /perf. Ensures nothing ships without passing all quality checks. Use when: (1) before deploying, (2) before merging to main, (3) before release. Triggers: /ship, 'ship it', 'ready to deploy', 'pre-launch check'.
development
Performance optimization skill. Core Web Vitals via Lighthouse, bundle size analysis, metrics tracking over time. Use when: (1) optimizing frontend performance, (2) analyzing bundle size, (3) tracking metrics regression. Triggers: /perf, 'performance audit', 'core web vitals', 'bundle size'.