Can it handle large projects with many directories?

Yes, it utilizes efficient shell commands like find and xargs to handle large-scale directory analysis and metadata retrieval quickly.

How does this help with code quality metrics?

It allows you to identify unusually large files, track technical debt markers, and calculate the ratio of test files to source files.

Can I count specific code patterns like TODOs?

Yes, the skill uses Grep to count patterns, functions, classes, or specific comments across your entire project directory.

Does this skill modify my files?

No, the File Operations skill is strictly non-destructive. It uses tools like stat, wc, and read-only grep to analyze files without making any changes.

Is it possible to analyze files by specific file types?

Absolutely. You can use glob patterns to filter your analysis to specific extensions, such as only analyzing .py or .js files.

File Operations Analytics

Name: File Operations Analytics
Author: prof-ramos

byprof-ramos

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Developer Tools

Analyzes file metadata and content statistics to provide detailed project insights without modifying source code.

About

The File Operations skill empowers Claude to perform deep-dive analysis of a project's file structure and metadata using native shell tools. It provides a non-destructive way to retrieve file sizes, line counts, modification timestamps, and pattern statistics via commands like stat, wc, and grep. This skill is essential for auditing codebases, identifying large or outdated files, and calculating code quality metrics such as TODO counts or function density without risking accidental modifications to the filesystem.

Key Features

Comprehensive metadata retrieval including file size and modification timestamps
Non-destructive analysis workflow that ensures source code integrity
Advanced pattern searching for code quality metrics and TODO tracking
1 GitHub stars
Detailed line count statistics for individual files or entire directory trees
Efficient file discovery using glob patterns and complex find operations

Use Cases

Monitoring technical debt by searching for TODO, FIXME, or HACK patterns within the source
Extracting code metrics such as the number of functions, classes, or imports across a project
Conducting a codebase audit to identify the largest files and complex directories for optimization

About

Key Features

Comprehensive metadata retrieval including file size and modification timestamps
Non-destructive analysis workflow that ensures source code integrity
Advanced pattern searching for code quality metrics and TODO tracking
1 GitHub stars
Detailed line count statistics for individual files or entire directory trees
Efficient file discovery using glob patterns and complex find operations

Use Cases

Monitoring technical debt by searching for TODO, FIXME, or HACK patterns within the source
Extracting code metrics such as the number of functions, classes, or imports across a project
Conducting a codebase audit to identify the largest files and complex directories for optimization