tldr-code
SolidToken-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
AI & Automation 501 stars
42 forks Updated yesterday MIT
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Quality Score: 94/100
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Skill Content
# TLDR-Code: Complete Reference
Token-efficient code analysis. **95% savings** vs raw file reads.
## Quick Reference
| Task | Command |
|------|---------|
| File tree | `tldr tree src/` |
| Code structure | `tldr structure . --lang python` |
| Search code | `tldr search "pattern" .` |
| Call graph | `tldr calls src/` |
| Who calls X? | `tldr impact func_name .` |
| Control flow | `tldr cfg file.py func` |
| Data flow | `tldr dfg file.py func` |
| Program slice | `tldr slice file.py func 42` |
| Dead code | `tldr dead src/` |
| Architecture | `tldr arch src/` |
| Imports | `tldr imports file.py` |
| Who imports X? | `tldr importers module_name .` |
| Affected tests | `tldr change-impact --git` |
| Type check | `tldr diagnostics file.py` |
| Semantic search | `tldr semantic search "auth flow"` |
---
## The 5-Layer Stack
```
Layer 1: AST ~500 tokens Function signatures, imports
Layer 2: Call Graph +440 tokens What calls what (cross-file)
Layer 3: CFG +110 tokens Complexity, branches, loops
Layer 4: DFG +130 tokens Variable definitions/uses
Layer 5: PDG +150 tokens Dependencies, slicing
───────────────────────────────────────────────────────────────
Total: ~1,200 tokens vs 23,000 raw = 95% savings
```
---
## CLI Commands
### Navigation
```bash
# File tree
tldr tree [path]
tldr tree src/ --ext .py .ts # Filter extensions
tldr tree . --show-hidden # In...
Details
- Author
- vibeeval
- Repository
- vibeeval/vibecosystem
- Created
- 2 months ago
- Last Updated
- yesterday
- Language
- C#
- License
- MIT
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