What problem does it solve? Adopting a shared AI agent configuration framework in a repository is risky: choosing the wrong confidentiality profile, losing pre-existing CLAUDE.md content, or having project-specific knowledge silently overwritten by future updates. This Skill guides the full adoption workflow so nothing is lost and the project stays updatable. ## Core Features & Use Cases - Profile selection via decision tree: Chooses between empresa, externo-confidencial, and pessoal profiles by asking the user, never guessing, since the choice carries confidentiality consequences. - Safe installation workflow: Enforces a git baseline commit, dry-run-first execution of setup-profile.sh, and preservation of any pre-existing CLAUDE.md content before installing. - Update-safe content placement: Directs project knowledge into USER marker islands in AGENTS.md or into docs/ files referenced from those islands, so non-destructive --update runs never erase it. - Use Case: You join a client project under NDA that already has a hand-written CLAUDE.md. The Skill walks you through picking the externo-confidencial profile, backing up and redistributing the old content, installing with --dry-run, and filling CURRENT-STATE.md so the next session starts informed. ## Quick Start Ask the agent to adopt the agent governance framework in this repository, choosing the right profile with me and preserving my existing configuration files.