tldr-code
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
npx skills add parcadei/Continuous-Claude-v3 --skill tldr-code --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 =
- Quick Reference
- The 5-Layer Stack
- CLI Commands
- Navigation
- Search
- File Analysis
- Flow Analysis
- Codebase Analysis
- Import Analysis
- Quality & Testing
- Caching
- Daemon (Faster Queries)
- Daemon Commands
- Daemon Features
File tree tldr tree [path] tldr tree src/ --ext .py .ts # Filter extensions tldr tree . --show-hidden # Include hidden files Code structure (codemaps) tldr structure [path] --lang python tldr structure src/ --max 100 # Max files to analyze Text search tldr search <pattern> [path] tldr search "def process" src/
What does the tldr-code skill do?
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
How do I install it?
Run `npx skills add parcadei/Continuous-Claude-v3 --skill tldr-code --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From parcadei/Continuous-Claude-v3, a repository with 3,879 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.