What makes RepoQL better than raw file reading?

RepoQL indexes the structure of your repository, allowing for high-level exploration and semantic searches without consuming large amounts of tokens by reading every file manually.

Can I use RepoQL on external repositories?

Yes, the repoql_import tool allows you to add and index external repositories for the same structured exploration capabilities.

How do token budgets work with RepoQL?

You can set specific token limits for queries to ensure responses remain concise. High-detail inspections use more tokens, while broad inventories use fewer.

Can RepoQL modify my code?

No, RepoQL is a read-only tool designed for exploration, analysis, and discovery. Use standard file edit tools for making changes once you've located the target code.

What is the RepoQL Explore Workflow?

It is a four-stage process (Inventory, Locate, Inspect, Explain) designed to move from broad repository awareness to specific understanding of complex logic.

RepoQL Code Exploration

Name: RepoQL Code Exploration
Author: stueeey

bystueeey

0•

開発者ツール

Explores and queries local codebases using a knowledge graph to analyze structure and logic without reading every file.

RepoQL transforms your local repository into a searchable knowledge graph, allowing Claude to efficiently navigate unfamiliar codebases through a structured 'Inventory, Locate, Inspect' workflow. It enables semantic searching, structural analysis, and SQL-based aggregation of code elements while maintaining strict token budget awareness. By indexing code structure instead of relying on raw file reads, it helps developers quickly understand how complex systems are organized and where specific features are implemented.

主な機能

01Token-aware content fetching with customizable budget limits

02SQL-based querying for aggregating and filtering repository data

03Streamlined exploration workflow: Inventory, Locate, Inspect, and Explain

04Semantic search to find code concepts based on intent rather than keywords

050 GitHub stars

06Knowledge graph indexing for deep repository structure analysis

ユースケース

01Locating specific implementation logic across large repositories using semantic intent

02Auditing code patterns and aggregating file data using SQL queries

03Onboarding onto massive, unfamiliar codebases by mapping out file structures and relationships

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add stueeey/repoql.public repoql

For use in Claude.ai and ChatGPT

Download Skill