What problem does it solve?
It eliminates the slow, ad‑hoc approach to learning a new repository by providing a systematic, phased workflow that builds a structural codemap, a system model, traced key flows, and a context strategy, enabling developers and AI agents to become productive within hours instead of weeks.
Core Features & Use Cases
- Phase 1 – Codemap Generation: Uses the documentation‑generator skill to map modules, entry points, dependencies, and external interfaces.
- Phase 2 – System Model Construction: Applies systems‑thinking to identify hubs, feedback loops, critical paths, and failure modes.
- Phase 3 – Flow Tracing: Leverages the debugging skill to trace 3‑5 essential data flows end‑to‑end, annotating seams and surprises.
- Phase 4 – Context Strategy: Utilizes context‑fundamentals to define always‑loaded, on‑demand, and disposable information for both humans and AI agents.
- Use Case Example: A new engineer clones a large micro‑service repository and follows this workflow to produce a codemap, system model, traced flows, and a concise context plan before making their first commit.
Quick Start
Help me onboard to the new repository by generating a codemap, building a system model, tracing key flows, and creating a context strategy.
