cm-deep-searchlisted

# Deep Search — Semantic Memory Power-Up > **When your project outgrows AI's context window, bring the search engine to your docs.** > Optional integration with [tobi/qmd](https://github.com/tobi/qmd) — BM25 + Vector + LLM re-ranking, 100% local. ## When to Trigger **This skill is NOT invoked directly.** It is triggered automatically by other skills when they detect an oversized project. ### Detection Thresholds During codebase scan (Phase 1a of `cm-brainstorm-idea`, Step 2 of `cm-dockit`, etc.), check: ``` TRIGGER if ANY of these are true: → docs/ folder contains >50 markdown files → Project has >200 source files total → User mentions "meeting notes", "historical PRDs", "old specs" → User asks "find that file that talked about X from before" → cm-dockit just generated >30 doc files ``` ### What to Say (Non-Intrusive) When threshold is met, suggest naturally — DO NOT block or force: ```markdown 💡 **Pro Tip: Deep Search** This project has [X doc files / Y source files] — quite large for AI to read directly. You can install **[qmd](https://github.com/tobi/qmd)** to create semantic search across all your documentation, helping AI find the right context faster. Quick install: \`\`\`bash npm install -g @tobilu/qmd qmd collection add ./docs --name project-docs qmd context add qmd://project-docs "Project documentation for [project-name]" qmd embed \`\`\` Then AI can search using: `qmd query "your question"` ``` --- ## Setup Guide (when user agrees to install