chunkhound

Search codebases semantically and with regex for architectural analysis.

4|1|Updated Dec 13, 2025

Search Tags:#architecture #semantic search #codebase analysis #code exploration #code research #regex search

Ready to run

npx skills add https://github.com/jr2804/mcp-config-converter --skill chunkhound

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: chunkhound
Source: https://github.com/jr2804/mcp-config-converter/tree/main/.claude/skills/tool_usage/chunkhound
Command: npx skills add https://github.com/jr2804/mcp-config-converter --skill chunkhound

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides advanced tools for navigating and understanding codebases through semantic search, regex pattern matching, and deep architectural analysis, making code exploration efficient.

Core Features & Use Cases

Semantic Search: Understand concepts and find similar functionality across the codebase.
Regex Search: Locate exact code patterns, symbols, and references.
Code Research: Perform deep architectural analysis and map complex relationships.
Use Case: Quickly understand how a new feature is implemented by semantically searching for related concepts, then using regex to find specific function calls, and finally performing a code research to map the entire data flow.

Quick Start

Use the chunkhound skill to semantically search for how user authentication works in this codebase.

Frequently Asked Questions about chunkhound

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I perform semantic search across my codebase to understand feature implementation?▼

Semantic search across your codebase finds related concepts and similar functionality without relying on exact string matches. It chunks code by meaning, letting you locate how a feature works by searching for its underlying concept.

What's the best way to locate exact code patterns and function calls in a project?▼

Locate exact code patterns, symbols, and references using regex search. This approach matches specific syntax strings within the codebase to pinpoint precise function calls and variable definitions during code exploration.

Can I map complex architectural relationships and data flow with deep codebase analysis?▼

Deep architectural analysis maps complex relationships and data flow across your codebase. It combines semantic concept search with regex pattern matching to trace implementation paths and reveal structural dependencies.

Do I need a specific server setup for semantic code chunking and search?▼

Semantic code chunking and search requires integration with ChunkHound MCP server tools. This environment provides the necessary indexing and query infrastructure to perform effective architectural research and code exploration.

How do I research a new codebase to understand how user authentication is implemented?▼

Research how user authentication works by first semantically searching for authentication concepts to find related modules. Then use regex search to locate specific function calls, mapping the entire data flow for deep understanding.

When should I use semantic search instead of exact regex matching for code exploration?▼

Use semantic search when you need to understand concepts and find similar functionality without knowing exact variable names. Use regex search when you need to locate exact code patterns, specific symbols, and precise references.