TLDR Smart Router

SkillAI & models

Lets your agent pick the right tldr command for a question by mapping it to the correct layer.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the TLDR Smart Router skill

About this capability

Maps questions to the optimal tldr command. Use this to pick the right layer

What this skill tells your AI

The instructions your AI receives, as published by parcadei/continuous-claude-v3 in .claude/skills/tldr-router/SKILL.md and read by ahel’s review.

Maps questions to the optimal tldr command. Use this to pick the right layer.

Question → Command Mapping

"What files/functions exist?"

tldr tree . --ext .py          # File overview
tldr structure src/ --lang python  # Function/class overview

Use: Starting exploration, orientation

"What does X call / who calls X?"

tldr context <function> --project . --depth 2
tldr calls src/

Use: Understanding architecture, finding entry points

"How complex is X?"

tldr cfg <file> <function>

Use: Identifying refactoring candidates, understanding difficulty

"Where does variable Y come from?"

tldr dfg <file> <function>

Use: Debugging, understanding data flow

"What affects line Z?"

tldr slice <file> <function> <line>

Use: Impact analysis, safe refactoring

"Search for pattern P"

tldr search "pattern" src/

Use: Finding code, structural search

Decision Tree

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 Detection Keywords

IntentKeywordsLayer
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

Automatic Hook Integration

The tldr-read-enforcer and tldr-context-inject hooks automatically:

  1. Detect intent from your messages
  2. Route to appropriate layers
  3. Inject context into tool calls

You don't need to manually run these commands - the hooks do it for you.

Manual Override

If you need a specific layer the hooks didn't provide:

# 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

Signals

GitHub stars
4k
Forks
300
Last commit
Jan 2026
Advanced
Catalog kind
skill
Gateway key
tldr-router
Source
github.com/parcadei/continuous-claude-v3