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Maps questions to the optimal tldr command. Use this to pick the right layer
npx skill4agent add parcadei/continuous-claude-v3 tldr-routertldr tree . --ext .py # File overview
tldr structure src/ --lang python # Function/class overviewtldr context <function> --project . --depth 2
tldr calls src/tldr cfg <file> <function>tldr dfg <file> <function>tldr slice <file> <function> <line>tldr search "pattern" src/START
│
├─► "What exists?" ──► tree / structure
│
├─► "How does X connect?" ──► context / calls
│
├─► "Why is X complex?" ──► cfg
│
├─► "Where does Y flow?" ──► dfg
│
├─► "What depends on Z?" ──► slice
│
└─► "Find something" ──► search| Intent | Keywords | Layer |
|---|---|---|
| Navigation | "what", "where", "find", "exists" | tree, structure, search |
| Architecture | "calls", "uses", "connects", "depends" | context, calls |
| Complexity | "complex", "refactor", "branches", "paths" | cfg |
| Data Flow | "variable", "value", "assigned", "comes from" | dfg |
| Impact | "affects", "changes", "slice", "dependencies" | slice/pdg |
| Debug | "bug", "error", "investigate", "broken" | cfg + dfg + context |
tldr-read-enforcertldr-context-inject# Force specific analysis
tldr cfg path/to/file.py function_name
tldr dfg path/to/file.py function_name
tldr slice path/to/file.py function_name 42