What problem does it solve? Developers building with OpenAI APIs often rely on outdated or unofficial information when choosing models, configuring Codex, or migrating integrations. This Skill routes questions to authoritative OpenAI documentation sources so answers stay current, cited, and accurate. ## Core Features & Use Cases - Official Docs Lookup: Searches and fetches pages from the OpenAI Developer Docs MCP server, with fallback to official-domain web search when MCP tools are unavailable. - Codex Self-Knowledge: Fetches and caches the Codex manual via a helper script, generating an outline for targeted answers about Codex configuration, skills, plugins, MCP, hooks, and automations. - Model Selection & Migration: Resolves the latest recommended model and provides bundled fallback guides for model upgrades and prompt rewrites, preserving explicitly requested target models. - Use Case: When asked "which model should I use for a coding agent" or "migrate my integration to the latest model", the Skill fetches current guidance, runs the model-resolution script, and returns cited recommendations with a narrow, behavior-preserving upgrade plan. ## Quick Start Ask the assistant to look up the current recommended OpenAI model for your use case and cite the official documentation.