Can I use this for cloud infrastructure projects?

Absolutely. It has specific support for Terraform to visualize module dependencies and detect architectural cycles.

Does this skill require any external dependencies?

Yes, it requires Python 3.9+ and the cased-kit package installed via pipx or pip.

Is it suitable for large monorepos?

Yes, the skill supports caching mechanisms and targeted path analysis to maintain performance even in very large codebases.

How does semantic search differ from standard grep in this skill?

While standard search finds literal text matches, semantic search uses embeddings to find code related to a concept or intent, even if the keywords don't match exactly.

What is the primary purpose of the Kit CLI Navigator skill?

It provides a set of structure-aware commands to extract meaningful data from repositories, helping Claude understand codebases faster and more accurately.

Kit CLI Navigator

Name: Kit CLI Navigator
Author: cased

bycased

•

開発者ツール

Navigates and analyzes complex codebases using deterministic tools like symbol extraction, semantic search, and dependency mapping to build high-signal context.

概要

The Kit CLI Navigator skill empowers Claude with a suite of structure-aware tools designed for deep repository interrogation and context engineering. It allows developers to quickly build mental models of unfamiliar codebases through file-tree visualization, symbol extraction, and semantic discovery. By utilizing deterministic CLI commands, the skill provides consistent, machine-readable data—such as dependency graphs and code chunks—that help Claude plan refactors, audit infrastructure, and locate specific implementation patterns without the noise of manual grepping or manual file traversal.

主な機能

Structural file-tree and symbol extraction for rapid repo mapping
Semantic search for conceptual code discovery beyond literal grep
Context-aware code chunking to optimize AI token usage
1 GitHub stars
Exportable repository snapshots in JSON, DOT, and Markdown formats
Automated dependency graph generation for multiple languages

ユースケース

Rapidly onboarding and understanding unfamiliar or large-scale codebases
Preparing high-density context bundles for complex refactoring or incident reviews
Mapping architectural dependencies and identifying circular references in Terraform or Python

概要

主な機能

Structural file-tree and symbol extraction for rapid repo mapping
Semantic search for conceptual code discovery beyond literal grep
Context-aware code chunking to optimize AI token usage
1 GitHub stars
Exportable repository snapshots in JSON, DOT, and Markdown formats
Automated dependency graph generation for multiple languages

ユースケース

Rapidly onboarding and understanding unfamiliar or large-scale codebases
Preparing high-density context bundles for complex refactoring or incident reviews
Mapping architectural dependencies and identifying circular references in Terraform or Python