What problem does it solve?
This Skill removes the friction of starting work in a new or poorly documented repository by scanning the codebase, capturing conventions, and creating durable project context for future AI sessions.
Core Features & Use Cases
- Repository Scanning: Detects the tech stack, structure, commands, and representative code patterns without reading every source file.
- Context Seeding: Creates CLAUDE.md and .topia state files so sessions start with the same project knowledge instead of relearning it.
- Safety and Discipline: Seeds invariants, gitignore rules, and persistent memory pointers to keep agents aligned across edits and sessions.
- Use Case: A developer opens an undocumented repo for the first time and uses this Skill to generate the project context needed for confident refactoring, debugging, or feature work.
Quick Start
Use this Skill on a new or stale repository to scan the project and generate the context files that future coding sessions will rely on.