What problem does it solve? New sessions with an AI coding agent start with zero knowledge of your project, forcing you to re-explain the architecture, tech stack, and conventions every time. This Skill analyzes the codebase once and generates persistent context documents that are automatically loaded in future sessions. ## Core Features & Use Cases - Codebase Analysis via Subagent: Dispatches an explorer subagent to map directory structure, tech stack, entry points, architecture patterns, and domain boundaries. - Context Document Generation: Creates or updates ARCHITECTURE.md plus .autopus/project files covering product purpose, structure, tech stack, workspace boundaries, E2E scenarios, and canary health checks. - Use Case: When returning to a long-dormant repository or onboarding a new monorepo, run the setup command so the agent documents the workspace layout, nested repo boundaries, and health-check targets before you start planning features. ## Quick Start Ask the agent to run /auto setup to analyze this repository and generate the project context documents.