Works with the AI tools you already use
My Architecture Lens
Convert any codebase into a commit-able interactive knowledge graph with guided tours and impact analysis.
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See it in action
You say
/understand . --full --exclude node_modules,dist
Your agent does
Analysis complete. 243 files scanned. knowledge-graph.json generated with 856 nodes and 1,420 edges. Local dashboard started at http://localhost:3000/?token=abc123. Use /understand-onboard for a tour.
What you get
About this skill
The problem
Stepping into a legacy codebase or a massive open-source repo usually involves weeks of manual tracing and mental mapping. Static documentation is often stale, and standard IDE navigation fails to visualize complex cross-module dependencies and architectural layers.
What it does
- Runs a 7-phase multi-agent pipeline to scan files, extract entities, and map dependencies into a JSON knowledge graph.
- Generates an interactive local dashboard with force-directed graphs, architecture layer color-coding, and fuzzy semantic search.
- Builds automated "Guided Tours" and plain-English summaries to explain code purpose to different personas.
- Performs impact analysis on git diffs to show exactly which downstream components are affected by a change.
- Maintains graph accuracy via post-commit hooks that incrementally update only modified files using WASM-based fingerprints.
Frameworks & tools
Works with any language via tree-sitter (WASM). Includes native integration for Claude Code, Node.js, and 14+ CLI platforms.
Why this beats prompting it yourself
Standard LLM prompts lack the global context of a large repo and suffer from hallucinations regarding deep dependencies. This tool combines deterministic AST parsing with semantic LLM analysis to create a commit-able, verifiable source of truth that functions without an API key once generated.
Use cases
- Accelerate developer onboarding from two weeks to twenty minutes.
- Visualize architectural impact before refactoring critical service layers.
- Search codebases semantically to find validation logic or specific domain flows.
- Share interactive architecture maps with team members without requiring LLM access.
Known limitations
Initial full scans of massive repositories incur LLM token costs for semantic extraction. Requires Node.js for the dashboard viewer.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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