← ClaudeAtlas

cm-codeintelllisted

Unified code intelligence — Skeleton Index (zero-dep, <4s) + AST knowledge graph (CodeGraph) + architecture diagrams (Mermaid) + smart context builder. Pre-indexes code structure so AI agents understand any codebase instantly. 95% token compression for onboarding. 30% fewer tokens for deep analysis.
tody-agent/codymaster · ★ 44 · AI & Automation · score 74
Install: claude install-skill tody-agent/codymaster
# Code Intelligence — Structural Understanding for AI Agents ## TL;DR - **Use to** index codebase for fast structural understanding - **Outputs**: skeleton index, AST graph, Mermaid diagrams - **Token saving**: ~95% for onboarding, ~30% for deep analysis - **Next**: cm-planning or cm-debugging > **Stop scanning. Start querying.** Skeleton Index (<4s, zero deps) + AST graph + architecture diagrams = instant code understanding. > Inspired by [CodeGraph](https://github.com/colbymchenry/codegraph) + [GitDiagram](https://github.com/ahmedkhaleel2004/gitdiagram). > TRIZ-optimized: 10 inventive principles applied. ## When to Use **ALWAYS for medium-to-large projects.** This is infrastructure, not an action skill. - **Auto-triggered by:** `cm-start` Step 0.7 (project init) — **ALWAYS runs Layer 0** - **Manually triggered for:** "understand this codebase", "what calls X?", "what breaks if I change Y?" - **Skip when:** NEVER — Layer 0 (Skeleton) works on any project size ### Detection Thresholds (Auto-Trigger) ``` TRIGGER if ANY of these are true: → Project has >50 source files → User wants to refactor or re-code an existing project → User says "understand the codebase" / "what does this do?" → cm-execution encounters >3 grep/glob calls for one task → cm-debugging needs callers/callees to trace a bug ``` --- ## Architecture: 4 Layers ``` ┌──────────────────────────────────────────────────────────────────────────┐ │ cm-codeintell