What problem does it solve? Setting up a new repository with a consistent AI agent factory—agents, skills, hooks, and governance files—requires copying many files, detecting the tech stack, and configuring git hooks manually, which is error-prone and inconsistent across repos. ## Core Features & Use Cases - Stack Detection and Kit Installation: Detects Node/TS, Python, Prisma, and Alembic setups, then copies agents, skills, hooks, and a registry template into the repo. - Tailored CLAUDE.md Generation: Pre-fills a CLAUDE.md template with detected stack commands while leaving architecture rules for the human. - New Agent Scaffolding and Charter: For new agents, applies a governed scaffold wired to @ogenticai/agent-core and walks the operator through an eight-question charter recorded as a decision document. - Use Case: An engineer adopting the factory in a fresh repo runs this skill to get agents, pre-commit hooks that block .env commits, and a smoke-tested setup in one pass. ## Quick Start Ask the assistant to install the factory in this repository and confirm the detected stack profile when prompted.