Continuous-Claude-v3 search-router
Choose the right search tool for each query type
install
source · Clone the upstream repo
git clone https://github.com/parcadei/Continuous-Claude-v3
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/parcadei/Continuous-Claude-v3 "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/search-router" ~/.claude/skills/parcadei-continuous-claude-v3-search-router && rm -rf "$T"
manifest:
.claude/skills/search-router/SKILL.mdsource content
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
- DEFAULT - Code exploration with 95% token savings/tldr-search
- Structural code search/ast-grep-find
- Fast text search/morph-search