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Unified code intelligence — routes to Skeleton Index, CodeGraph, Architecture Diagram, or Smart Context Builder based on task shape. Loads deep refs on demand.

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cm
5662 skills8 agents11 commands3 hooks
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Claude Code

$ npx -y skills add tody-agent/codymaster --skill cm-codeintell --agent claude-code

SKILL.md

cm-codeintell.SKILL.md
name: cm-codeintell
description: Unified code intelligence — routes to Skeleton Index, CodeGraph, Architecture Diagram, or Smart Context Builder based on task shape. Loads deep refs on demand.
token_budget: 1500
token_core: 520
token_refs:
  layer-0-skeleton: 820
  layer-1-codegraph: 980
  layer-2-architecture: 620
  layer-3-context-builder: 760
  integration-workflows: 520
compressed: true
deprecated: false

Code Intelligence — Structural Understanding for AI Agents

TL;DR

  • **Use to** index a codebase for fast structural understanding
  • **Layers**: skeleton, code graph, architecture diagram, smart context
  • **Default**: start from the lightest useful layer
  • **Next**: `cm-planning`, `cm-debugging`, or `cm-execution`

> Stop scanning. Start querying. Load only the layer the task actually needs.

When to Use

  • Understanding a medium or large codebase
  • Tracing callers, callees, or impact before edits
  • Building focused context for planning, debugging, or execution
  • Auto-triggering structural understanding during project setup

Choose a Layer

Need instant codebase orientation with zero extra setup?
└─ YES → Layer 0: Skeleton Index

Need symbol search, callers/callees, or impact analysis?
└─ YES → Layer 1: Code Graph

Need a visual system / module map?
└─ YES → Layer 2: Architecture Diagram

Need a focused context packet for another skill or agent?
└─ YES → Layer 3: Smart Context Builder

| Layer | Summary | Load | |---|---|---| | 0 | Grep-based skeleton index for instant orientation | `references/layer-0-skeleton.md` | | 1 | AST graph and symbol-query workflow | `references/layer-1-codegraph.md` | | 2 | Mermaid architecture generation | `references/layer-2-architecture.md` | | 3 | Synthesized focused context for downstream work | `references/layer-3-context-builder.md` |

Conditional References

  • Load only the target layer reference for the current task.
  • Load `references/integration-workflows.md` only when wiring `cm-codeintell` into `cm-start`, `cm-planning`, `cm-debugging`, or `cm-execution`.

Integration

| Skill | How `cm-codeintell` helps | |---|---| | `cm-start` | bootstrap structural context early | | `cm-planning` | impact analysis and component boundaries | | `cm-debugging` | trace callers, callees, and failure paths | | `cm-execution` | pre-flight context for focused implementation |

Rules

  • Start from the lightest layer that answers the question.
  • Prefer Layer 0 when simple orientation is enough.
  • Regenerate or refresh indexes after major structural changes.
  • Do not pay for deep graph or context synthesis unless the task needs it.

The Bottom Line

**Pick the cheapest layer that answers the question, then load deeper only when needed.**

Read more
@tody-agent
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"I can't write code. But in 6 months, I shipped 12 real products using AI. CodyMaster is everything I learned — so you don't have to repeat my mistakes." — Tody Le, Head of Product, Creator of CodyMaster 50+ skills. One install.

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Questions about cm-codeintell.

Which coding agents can use cm-codeintell?
cm-codeintell installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.