npx skills add parcadei/Continuous-Claude-v3 --skill search-router --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.
# 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 | |------|-------------|------
- When to Use
- Decision Tree
- Token Efficiency Comparison
- Examples
- Optimal Flow
- Related Skills
CODE EXPLORATION → TLDR (DEFAULT) tldr search "spawn_agent" . tldr search "redis" . --layer call_graph STRUCTURAL → AST-grep 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
What does the search-router skill do?
Choose the right search tool for each query type
How do I install it?
Run `npx skills add parcadei/Continuous-Claude-v3 --skill search-router --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 3,885 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.