/search-router

name: search-router
description: Choose the right search tool for each query type
user-invocable: false

Search Tool Router

Use the most token-efficient search tool for each query type.

When to Use

• Searching for code patterns
• Finding where something is implemented
• Looking for specific identifiers
• Understanding how code works

Decision Tree

Query Type?
├── CODE EXPLORATION (symbols, call chains, data flow)
│   → TLDR Search - 95% token savings
│   DEFAULT FOR ALL CODE SEARCH - use instead of Grep
│   Examples: "spawn_agent", "DataPoller", "redis usage"
│   Command: tldr search "query" .
│
├── STRUCTURAL (AST patterns)
│   → AST-grep (/ast-grep-find) - ~50 tokens output
│   Examples: "def foo", "class Bar", "import X", "@decorator"
│
├── SEMANTIC (conceptual questions)
│   → TLDR Semantic - 5-layer embeddings (P6)
│   Examples: "how does auth work", "find error handling patterns"
│   Command: tldr semantic search "query"
│
├── LITERAL (exact text, regex)
│   → Grep tool - LAST RESORT
│   Only when TLDR/AST-grep don't apply
│   Examples: error messages, config values, non-code text
│
└── FULL CONTEXT (need complete understanding)
    → Read tool - 1500+ tokens
    Last resort after finding the right file

Token Efficiency Comparison

| Tool | Output Size | Best For | |------|-------------|----------| | **TLDR** | **~50-500** | **DEFAULT: Code symbols, call graphs, data flow** | | **TLDR Semantic** | **~100-300** | **Conceptual queries (P6, embedding-based)** | | AST-grep | ~50 tokens | Function/class definitions, imports, decorators | | Grep | ~200-2000 | LAST RESORT: Non-code text, regex | | Read | ~1500+ | Full understanding after finding the file |

Examples

# CODE EXPLORATION → TLDR (DEFAULT)
tldr search "spawn_agent" .
tldr search "redis" . --layer call_graph

# STRUCTURAL → AST-grep
/ast-grep-find "async def $FUNC($$$):" --lang python

# SEMANTIC → TLDR Semantic
tldr semantic search "how does authentication work"

# LITERAL → Grep (LAST RESORT - prefer TLDR)
Grep pattern="check_evocation" path=opc/scripts

# FULL CONTEXT → Read (after finding file)
Read file_path=opc/scripts/z3_erotetic.py

Optimal Flow

1. AST-grep: "Find async functions" → 3 file:line matches
2. Read: Top match only → Full understanding
3. Skip: 4 irrelevant files → 6000 tokens saved

Related Skills

• `/tldr-search` - **DEFAULT** - Code exploration with 95% token savings
• `/ast-grep-find` - Structural code search
• `/morph-search` - Fast text search