From claude-turbo-search
Searches markdown notes and docs using keyword, semantic, or hybrid methods to retrieve relevant files/sections before full reads, saving 90% tokens on exploration.
npx claudepluginhub iagocavalcante/claude-turbo-search --plugin claude-turbo-searchThis skill uses the workspace's default tool permissions.
Local search engine for Markdown notes, docs, and knowledge bases. **Use this to find relevant files BEFORE reading them** to dramatically reduce token usage.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Guides building MCP servers enabling LLMs to interact with external services via tools. Covers best practices, TypeScript/Node (MCP SDK), Python (FastMCP).
Generates original PNG/PDF visual art via design philosophy manifestos for posters, graphics, and static designs on user request.
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)