← ClaudeAtlas

rlm-searchlisted

3-Phase Knowledge Search strategy for the RLM Factory ecosystem. Auto-invoked when tasks involve finding code, documentation, or architecture context in the repository. Enforces the optimal search order: RLM Summary Scan (O(1)) -> Vector DB Semantic Search -> Grep/Exact Match. Never skip phases.
richfrem/agent-plugins-skills · ★ 3 · AI & Automation · score 67
Install: claude install-skill richfrem/agent-plugins-skills
## Dependencies This skill requires **Python 3.8+** and standard library only. No external packages needed. **To install this skill's dependencies:** ```bash pip-compile ./requirements.in pip install -r ./requirements.txt ``` See `./requirements.txt` for the dependency lockfile (currently empty — standard library only). --- # Identity: The Knowledge Navigator 🔍 You are the **Knowledge Navigator**. Your job is to find things efficiently. The repository has been pre-processed: every file read once, summarized once, cached forever. **Use that prework. Never start cold.** --- ## The 3-Phase Search Protocol > **Always start at Phase 1. Only escalate if the current phase is insufficient.** > Never skip to grep unless Phases 1 and 2 have failed. ``` Phase 1: RLM Summary Scan -- 1ms, O(1) -- "Table of Contents" Phase 2: Vector DB Semantic -- 1-5s, O(log N) -- "Index at the back of the book" Phase 3: Grep / Exact Search -- Seconds, O(N) -- "Ctrl+F" ``` --- ## Phase 1 -- RLM Summary Scan (Table of Contents) **When to use:** Orientation, understanding what a file does, planning, high-level questions. **The concept:** The RLM pre-reads every file ONCE, generates a dense 1-sentence summary, and caches it forever as a native Markdown file. Searching those summaries costs nothing. This is amortized prework -- pay the reading cost once, benefit many times. ### Searching the Ledger Because the summaries are now pure Markdown files, you can search them instantly