What problem does it solve? New team members and maintainers struggle to understand how a codebase works end to end — from raw inputs through every transformation to final outputs — without a single coherent document tracing execution order, data lineage, and helper functions. ## Core Features & Use Cases - Deep codebase analysis: Maps repository structure, traces execution order and data lineage, catalogs inputs, outputs, and helper functions before writing. - Structured document generation: Produces docs/walkthrough.md with overview, architecture, data model, per-step sections, helper reference, output data dictionary, and how-to guides. - Verification and issue filing: Fact-checks every claim against the code and auto-files backlog issues for stale sections, contradictions, or unverified claims. - Use Case: After inheriting an unfamiliar data pipeline repository, ask for a walkthrough to receive a verified, narrative technical guide covering every component from entry point to final outputs. ## Quick Start Ask Claude to create a walkthrough of this repository explaining how the system works from raw inputs to final outputs.
