Can Loctree help reduce the amount of code Claude needs to read?

Yes, the 'loct slice' command identifies the minimal dependency path for a file, ensuring Claude only processes the code necessary to understand that specific component.

Does this skill work automatically?

Yes, Loctree includes a PostToolUse hook that automatically augments standard searches. When you use grep or rg, Loctree detects the pattern and adds semantic context to the output.

What is the 'impact' command used for?

The 'loct impact' command analyzes a specific file to show you what other parts of the codebase would break or be affected if you change it, which is essential for safe refactoring.

How does Loctree differ from standard grep or ripgrep?

Unlike grep, which searches for simple text patterns, Loctree understands code structure (AST). This allows it to distinguish between a symbol definition, an import, and a comment, providing much more accurate results.

How do I set up Loctree for my project?

You need to install the Loctree CLI via Cargo or Homebrew, then run 'loct scan' in your project root to initialize the metadata cache.

Loctree Codebase Intelligence

Name: Loctree Codebase Intelligence
Author: Loctree

byLoctree

Herramientas para Desarrolladores

Provides AST-aware codebase mapping and semantic search to help AI agents understand complex code structures and dependencies.

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Loctree is a specialized codebase intelligence skill that transforms how Claude interacts with your code by replacing basic text searches with AST-aware structural understanding. It creates a holographic map of your repository, allowing the AI to instantly identify symbol definitions, analyze the impact of potential changes, and detect code health issues like circular dependencies or dead code. By automatically augmenting standard grep and ripgrep searches with semantic context, it ensures Claude always has access to relevant architectural patterns and cross-file relationships without manual prompting.

Características Principales

0 GitHub stars
Automated search augmentation via hooks that add context to grep results
Impact analysis to predict ripple effects across the codebase before refactoring
AST-aware semantic symbol search that outperforms standard regex
Comprehensive health reporting for dead code and circular dependency detection
Dependency slicing to extract the minimal code needed to understand specific files

Casos de Uso

Safely refactoring core utilities by checking downstream impacts project-wide
Locating symbol definitions and identifying unused code for maintenance
Onboarding an AI to a large, unfamiliar codebase using structural overviews

Acerca de

Características Principales

0 GitHub stars
Automated search augmentation via hooks that add context to grep results
Impact analysis to predict ripple effects across the codebase before refactoring
AST-aware semantic symbol search that outperforms standard regex
Comprehensive health reporting for dead code and circular dependency detection
Dependency slicing to extract the minimal code needed to understand specific files

Casos de Uso

Safely refactoring core utilities by checking downstream impacts project-wide
Locating symbol definitions and identifying unused code for maintenance
Onboarding an AI to a large, unfamiliar codebase using structural overviews