cm-autopilot
Easy-to-use conversational CLI (Claude Code style) for non-technical users to spawn parallel AI tasks supervised by a visual web dashboard.
Unified code intelligence — routes to Skeleton Index, CodeGraph, Architecture Diagram, or Smart Context Builder based on task shape. Loads deep refs on demand.
$ npx -y skills add tody-agent/codymaster --skill cm-codeintell --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cm-codeintellContext preview
The summary Claude sees to decide when to auto-load this skill.
Unified code intelligence — routes to Skeleton Index, CodeGraph, Architecture Diagram, or Smart Context Builder based on task shape. Loads deep refs on demand.
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
> Stop scanning. Start querying. Load only the layer the task actually needs.
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` |
| 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 |
**Pick the cheapest layer that answers the question, then load deeper only when needed.**
"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.
Repo: tody-agent/codymaster
Easy-to-use conversational CLI (Claude Code style) for non-technical users to spawn parallel AI tasks supervised by a visual web dashboard.
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[Deprecated] parallel execution mode. Use `cm-execution` instead.