How does this skill help save tokens?

Instead of reading an entire 500+ line file, the skill generates a concise summary of symbols and line numbers, allowing the AI to read only the specific relevant sections.

Can I use it to search for specific text strings?

No, this skill is designed for structural symbols. For searching string literals, regex patterns, or specific error messages, you should use Grep tools directly.

What languages are supported by Gabb Code Navigation?

The skill currently supports Python (.py, .pyi), TypeScript (.ts, .tsx), Rust (.rs), Kotlin (.kt, .kts), and C++ (.cpp, .cc, .cxx, .hpp, .hh).

When is it best to use the gabb_structure command?

It is most effective for large files (over 100 lines), unfamiliar codebases, or files that you expect to reference multiple times during a session.

Gabb Code Navigation

Name: Gabb Code Navigation
Author: gabb-software

bygabb-software

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Herramientas para Desarrolladores

Optimizes code exploration by providing structured previews of large files to reduce token usage and improve navigation efficiency.

Gabb Code Navigation enhances Claude's ability to navigate complex codebases by teaching it to preview file structures before committing to full-file reads. By leveraging the gabb_structure tool, the skill allows Claude to generate compact symbol trees, identify line numbers for specific functions or classes, and understand the layout of unfamiliar files across multiple languages. This approach significantly reduces token consumption when working with large source files and streamlines the process of finding specific logic within Python, TypeScript, Rust, Kotlin, and C++ environments.

Características Principales

01Reduces token overhead by avoiding unnecessary full-file context loading

02Provides summary statistics for file size and symbol distribution

03Generates compact symbol trees showing functions, structs, and classes

04Supports multiple languages including Python, TypeScript, Rust, Kotlin, and C++

052 GitHub stars

06Enables targeted reading by identifying exact line offsets for symbols

Casos de Uso

01Exploring unfamiliar codebases to understand project architecture quickly

02Identifying class and method definitions in large multi-language repositories

03Navigating massive source files where only specific methods need modification

Características Principales

01Reduces token overhead by avoiding unnecessary full-file context loading

02Provides summary statistics for file size and symbol distribution

03Generates compact symbol trees showing functions, structs, and classes

04Supports multiple languages including Python, TypeScript, Rust, Kotlin, and C++

052 GitHub stars

06Enables targeted reading by identifying exact line offsets for symbols

Casos de Uso

01Exploring unfamiliar codebases to understand project architecture quickly

02Identifying class and method definitions in large multi-language repositories

03Navigating massive source files where only specific methods need modification