Do I need to re-index my project frequently?

You should run Turbo Index when first entering a codebase or after making significant structural changes to ensure the semantic map remains accurate.

What is the role of QMD in this skill?

QMD is the underlying search engine that creates vector embeddings for your project, facilitating the fast semantic retrieval of documentation and code structure.

Is Turbo Index compatible with any programming language?

Yes, while it prioritizes documentation and Markdown for mapping, it handles generic file structures and common ignore patterns for almost all modern programming languages.

How does Turbo Index reduce token usage?

It uses semantic indexing to allow Claude to find specific code sections through vector search rather than reading your entire file tree, ensuring only relevant content is loaded into the context window.

Turbo Search & Indexing

Name: Turbo Search & Indexing
Author: iagocavalcante

byiagocavalcante

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生産性とワークフロー

Indexes large codebases using semantic search to optimize file exploration and reduce Claude's token consumption by up to 80%.

Turbo Index is a high-performance optimization skill for Claude Code designed to handle massive repositories by creating a local semantic index and comprehensive codebase map. By leveraging QMD semantic search and vector embeddings, it enables Claude to pinpoint relevant files and documentation without scanning the entire directory tree, resulting in significant token savings during exploration. The skill automates dependency installation, generates visual project maps, and maintains indexing metadata to ensure your search results stay synchronized with your latest code changes.

主な機能

01Semantic search utilizing QMD vector embeddings for high-precision retrieval

02Metadata tracking to detect stale indexes and maintain search accuracy

037 GitHub stars

04Smart dependency management and environment setup for immediate indexing

05Automated codebase mapping to visualize project structure and documentation

06Significant token optimization saving 60-80% on repository exploration tasks

ユースケース

01Navigating large-scale legacy codebases where manual file exploration is token-prohibitive

02Rapidly locating specific implementation patterns or logic across distributed projects

03Maintaining an updated architectural overview after significant refactoring or feature additions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add iagocavalcante/claude-turbo-search turbo-index

For use in Claude.ai and ChatGPT

Download Skill