How does the search hierarchy improve my workflow?

It prevents 'search fatigue' by ensuring the AI uses the most computationally efficient tool for the specific task, whether that's an embedding-based semantic search or a fast literal grep.

Does this skill require external API keys?

While the Morph search tool requires an API key for its 20x speed boost, the hierarchy automatically falls back to standard Grep if no key is provided.

What is the benefit of using AST-grep?

AST-grep understands code structure, making it ideal for finding specific function calls, class usages, or React components using specific hooks, which text-based search might miss.

When should I use LEANN instead of Grep?

Use LEANN for conceptual or semantic queries such as 'how does caching work' or 'find error patterns'. Use Grep for literal strings, specific class names, or simple regex.

Code Intelligence Search

Name: Code Intelligence Search
Author: scooter-lacroix

byscooter-lacroix

Developer Tools

Optimizes codebase navigation by providing a structured decision tree for semantic, structural, and literal code searches.

About

This skill equips Claude with a sophisticated framework for navigating complex codebases by matching search intent with the most efficient tool available. It guides the selection between LEANN for semantic queries about architecture and patterns, AST-grep for precise structural patterns and refactoring, Morph for high-speed text searches, and standard Grep for literal matching, ensuring developers find exactly what they need with minimal latency and maximum accuracy.

Key Features

Automated decision tree for selecting the optimal search tool based on intent
Structural search with AST-grep for precise code pattern matching
Integrated Grep fallback for literal and regex searches without dependencies
Semantic search via LEANN for conceptual architecture discovery
0 GitHub stars
High-performance text search using Morph API (20x faster than grep)

Use Cases

Understanding high-level architectural patterns like error handling or authentication flows
Quickly locating TODOs or specific text strings across a massive codebase
Refactoring specific code structures or finding all usages of a specific function signature

About

Key Features

Automated decision tree for selecting the optimal search tool based on intent
Structural search with AST-grep for precise code pattern matching
Integrated Grep fallback for literal and regex searches without dependencies
Semantic search via LEANN for conceptual architecture discovery
0 GitHub stars
High-performance text search using Morph API (20x faster than grep)

Use Cases

Understanding high-level architectural patterns like error handling or authentication flows
Quickly locating TODOs or specific text strings across a massive codebase
Refactoring specific code structures or finding all usages of a specific function signature