Analyzes existing codebases to automatically discover atomic features and map complex user workflows.
Feature Tree Bootstrap is a powerful diagnostic skill designed to reverse-engineer any codebase into a structured, AI-readable map. Using a two-phase process, it first performs a bottom-up analysis to identify user-facing features versus internal infrastructure, followed by a top-down trace that connects entry points to specific code symbols. This skill is essential for developers onboarding to legacy projects or those looking to create a definitive source of truth for AI-assisted development, ensuring every architectural layer is accounted for and documented.
Key Features
01Top-down workflow tracing from routes and entry points
021 GitHub stars
03Parallel subagent dispatch for rapid codebase scanning
04Visual workflow synthesis using Mermaid diagram generation
05Separation of user-facing features from shared infrastructure (INFRA)
06Automated module detection and bottom-up feature discovery
Use Cases
01Mapping code dependencies for AI-driven feature implementation
02Onboarding onto a legacy codebase to understand architecture
03Auditing architectural coverage to identify undocumented logic
