What tools does this skill utilize?

The skill leverages efficient Unix utilities including Bash, find, grep, and tree to analyze files without consuming excessive system resources.

Does this skill support monorepos?

Yes, it specifically looks for manifest files like package.json, Cargo.toml, and pyproject.toml to identify workspace roots and subproject boundaries.

How does the File Analysis skill help with refactoring?

It identifies 'god objects' and architectural hotspots while mapping module boundaries, giving you the structural context needed to plan safe and effective changes.

Is it effective for very large projects?

Yes, it uses optimized search commands and depth-limited mapping to provide a comprehensive overview without exceeding token limits or causing performance lag.

Can I use this for documentation purposes?

Absolutely. It generates clear directory layouts and file distribution statistics that are perfect for technical documentation and architecture READMEs.

File Analysis

Name: File Analysis
Author: athola

byathola

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Productividad y Flujo de Trabajo

Performs structured codebase enumeration and content analysis to map directory layouts, language distributions, and architectural hotspots.

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The File Analysis skill provides a systematic approach to exploring unfamiliar codebases or preparing for large-scale refactors. It guides Claude through a four-step process: identifying the project root and framework, mapping the directory hierarchy, detecting language patterns and file distributions, and flagging 'hotspots' like oversized files or high-complexity areas. By automating the structural discovery phase, it ensures that subsequent architectural reviews and coding tasks are grounded in a comprehensive understanding of the existing workspace organization.

Características Principales

Hierarchical directory mapping with depth-limited tree views
Structured progress tracking using specialized TodoWrite items
Automated project root and framework identification
Statistical analysis of file extensions and language distribution
10 GitHub stars
Complexity hotspot detection for large or deeply nested files

Casos de Uso

Pre-refactoring architectural assessment and boundary mapping
Project scope estimation for migrations and upgrades
Onboarding to an unfamiliar or legacy codebase

Acerca de

Características Principales

Hierarchical directory mapping with depth-limited tree views
Structured progress tracking using specialized TodoWrite items
Automated project root and framework identification
Statistical analysis of file extensions and language distribution
10 GitHub stars
Complexity hotspot detection for large or deeply nested files

Casos de Uso

Pre-refactoring architectural assessment and boundary mapping
Project scope estimation for migrations and upgrades
Onboarding to an unfamiliar or legacy codebase