What tools need to be installed for this skill?

This skill utilizes rg (ripgrep), fd, and bunx (for repomix) to perform its search and indexing functions.

Does this work with large repositories?

Absolutely. It is designed to handle large codebases by narrowing down search scopes using file exclusions, match limits, and directory-specific filtering.

Can I use regex to search for code patterns?

Yes, the skill provides specific commands for both literal string searching and complex regex patterns using ripgrep (rg).

How does this skill speed up code search?

It uses Repomix to create a consolidated index of your codebase and employs high-performance tools like ripgrep and fd for near-instant retrieval of files and patterns.

Fast Repo Context

Name: Fast Repo Context
Author: towry

bytowry

•

开发者工具

Optimizes codebase exploration and code search through efficient indexing and advanced grep/find utilities.

关于

Fast Repo Context is a specialized Claude Code skill designed to drastically speed up how developers navigate and understand complex codebases. By leveraging powerful CLI tools like ripgrep (rg), fd, and Repomix, it enables rapid code indexing and intent-based searching, allowing users to locate specific implementations, architectural patterns, or configuration snippets without manual file crawling. It is particularly effective for large repositories where understanding feature flow and locating specific logic is critical.

主要功能

Automated codebase indexing using Repomix for flattened repository views
Advanced text pattern matching with ripgrep (rg) for literal and regex searches
Streamlined file content inspection for quick verification of code snippets
High-performance file searching with fd using extensions and exclusion patterns
Contextual searching within large XML repository indexes to narrow down search scope
11 GitHub stars

使用场景

Quickly locating specific feature implementations across large or unfamiliar repositories
Researching how specific functions or patterns are utilized within Nix or TypeScript codebases
Generating and searching a flat-file representation of a project to provide faster context to the AI

关于

主要功能

Automated codebase indexing using Repomix for flattened repository views
Advanced text pattern matching with ripgrep (rg) for literal and regex searches
Streamlined file content inspection for quick verification of code snippets
High-performance file searching with fd using extensions and exclusion patterns
Contextual searching within large XML repository indexes to narrow down search scope
11 GitHub stars

使用场景

Quickly locating specific feature implementations across large or unfamiliar repositories
Researching how specific functions or patterns are utilized within Nix or TypeScript codebases
Generating and searching a flat-file representation of a project to provide faster context to the AI