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From claude-turbo-search
Performs local keyword, semantic, or hybrid search on markdown notes and docs to find relevant files before reading them, saving 90% tokens during codebase exploration.
npx claudepluginhub iagocavalcante/claude-turbo-search --plugin claude-turbo-searchHow this skill is triggered — by the user, by Claude, or both
Slash command
/claude-turbo-search:qmdThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Local search engine for Markdown notes, docs, and knowledge bases. **Use this to find relevant files BEFORE reading them** to dramatically reduce token usage.
Provides qmd CLI syntax for keyword, semantic, and hybrid search across markdown knowledge bases, documentation, or notes. Use for conceptual matching when grep lacks precision.
Retrieves small relevant snippets from Markdown docs via local BM25/grep search. Use for answering questions from project docs or finding headings across files when paths are unknown. Prefer over reading whole files or raw grep.
Searches indexed markdown docs and plans in qmd-configured projects using semantic queries. Invoke via /avinyc:qmd-search <query> for relevant results from collections.
Share bugs, ideas, or general feedback.
Local search engine for Markdown notes, docs, and knowledge bases. Use this to find relevant files BEFORE reading them to dramatically reduce token usage.
ALWAYS prefer qmd search over reading files directly when:
Token savings: Instead of reading 5 files (5000+ tokens), search first (50 tokens) and read only the relevant sections (200 tokens).
qmd search "query" - Fast BM25 keyword search. Use this first, it's instant.qmd vsearch "query" - Semantic similarity. Use only if keyword search fails.qmd query "query" - Hybrid + reranking. Avoid unless user explicitly requests highest quality.# Fast keyword search (DEFAULT - use this first)
qmd search "authentication" -n 10
# Search specific collection
qmd search "api routes" -c my-project
# Get file paths only (for deciding what to read)
qmd search "database schema" --files
# JSON output for parsing
qmd search "error handling" --json
# Semantic search (slower, use as fallback)
qmd vsearch "how does the login flow work"
# Get specific file
qmd get "path/to/file.md"
# Get by document ID from search results
qmd get "#docid"
# Get multiple files
qmd multi-get "docs/*.md" --json
Bad (token expensive):
1. Read src/auth/login.ts (800 tokens)
2. Read src/auth/session.ts (600 tokens)
3. Read src/auth/middleware.ts (500 tokens)
4. Read src/auth/types.ts (400 tokens)
→ Found answer in middleware.ts
Total: 2300 tokens
Good (token efficient):
1. qmd search "authentication middleware" --files (response: 50 tokens)
→ Returns: src/auth/middleware.ts:45-62
2. Read only the relevant section (150 tokens)
Total: 200 tokens (90% savings!)
qmd status to see indexed collectionsqmd status # Check index health and collections
qmd update # Re-index changed files (fast)
qmd embed # Update vector embeddings (slower)