What problem does it solve? Teams adopting AI coding assistants accumulate scattered practices across AGENTS files, skills, MCP tools, hooks, and automations with no clear ownership, risk level, or verification. This Skill turns that sprawl into a structured governance map and translates external best practices (such as Claude Code patterns) into Codex-native primitives instead of copying tool-specific configurations blindly. ## Core Features & Use Cases - Capability Mapping: Inventory AGENTS.md, skills, MCP tools, connector policies, automations, templates, and verification commands into a capability map with owner, risk, and verification fields. - Practice Translation: Convert external tool concepts (Claude CLAUDE.md, skills, commands, hooks, MCP) into Codex-native equivalents with explicit adopt/adapt/research/reject classification. - Governance Output: Produce a governance map plus an implementation queue with verification commands required before any practice is marked adopted. - Use Case: A team migrating from Claude Code to Codex uses this Skill to audit their existing AI workflows, translate each practice into Codex primitives, and generate a prioritized adoption queue with risk levels. ## Quick Start Ask the agent to audit this project's AI coding practices and translate external best practices into a Codex-native governance map with an adoption queue.
