What information does the File Analysis skill provide?

It identifies the project root, maps directory structures, counts files by extension to determine language dominance, and flags large or complex files that may need attention.

Does it work with any programming language?

Yes, the analysis is language-agnostic as it looks at file extensions, directory hierarchies, and project manifests rather than parsing specific syntax.

When should I use this skill instead of a standard Grep search?

Use this skill to get a bird's-eye view of project organization and architecture. Use Grep when you are searching for specific code strings or known patterns.

Does it support monorepo structures?

Yes, the skill is designed to detect monorepo boundaries, workspace roots, and subproject paths by checking for standard manifest files.

How does it identify technical debt or hotspots?

It uses shell commands to sample file sizes and directory depth, highlighting 'god objects' and deeply nested paths that often indicate high complexity.

Codebase File Analysis

Name: Codebase File Analysis
Author: micsapp

bymicsapp

0•

Herramientas para Desarrolladores

Maps and analyzes repository structure to provide essential architectural context for refactoring, migrations, and code reviews.

The File Analysis skill empowers Claude to perform comprehensive structural audits of unfamiliar codebases, identifying module boundaries, language distributions, and potential complexity hotspots. By automating the mapping of directory layouts and detecting 'god objects' or deeply nested structures, it provides the necessary groundwork for informed architectural decisions, scope estimation for migrations, and efficient developer onboarding without manual exploration.

Características Principales

01Project type detection using manifest files like package.json or Cargo.toml

02Automated directory layout mapping and hierarchy visualization

030 GitHub stars

04Structured workflow tracking using integrated TodoWrite checkpoints

05Identification of complexity hotspots and oversized files

06Language distribution analysis via file extension counting

Casos de Uso

01Providing structural context for architectural reviews and documentation

02Estimating the scope of work for large-scale refactoring or language migrations

03Mapping an unfamiliar codebase to understand module boundaries before making changes

Características Principales

01Project type detection using manifest files like package.json or Cargo.toml

02Automated directory layout mapping and hierarchy visualization

030 GitHub stars

04Structured workflow tracking using integrated TodoWrite checkpoints

05Identification of complexity hotspots and oversized files

06Language distribution analysis via file extension counting

Casos de Uso

01Providing structural context for architectural reviews and documentation

02Estimating the scope of work for large-scale refactoring or language migrations

03Mapping an unfamiliar codebase to understand module boundaries before making changes