file-analyzer

Analyze files and directory structures to produce code organization summaries and metrics.

Updated Sep 1, 2025
One-click install
npx skills add https://github.com/automacoescomerciaisintegradas/PAGIA --skill file-analyzer-automacoescomerciaisintegradas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: file-analyzer
Source: https://github.com/automacoescomerciaisintegradas/PAGIA/tree/main/.pagia/skills/file-analyzer
Command: npx skills add https://github.com/automacoescomerciaisintegradas/PAGIA --skill file-analyzer-automacoescomerciaisintegradas

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes files and directories to provide clear insights into code structure and project organization, helping teams understand architecture quickly and identify hotspots.

Core Features & Use Cases

  • Read and inspect files to understand content and languages used.
  • List and evaluate directory structures to reveal project layout and module boundaries.
  • Generate metrics and summaries of code organization to support onboarding, audits, and refactor planning.

Quick Start

Analyze a project directory to map its structure and extract code metrics using MCP tools.

Frequently Asked Questions about file-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze code structure and map a project layout from files and directories?

You can analyze project layout by listing directory structures and reading files to understand content and languages used. This maps code organization and extracts metrics to support onboarding and audits.

What is code structure analysis used for in software projects?

Code structure analysis reveals project layout and module boundaries to help teams understand architecture. It generates summaries and metrics that support onboarding, audits, and refactor planning.

Can I use this approach to audit dependencies and plan refactors for projects of any size?

Yes, this approach supports software projects of any size by evaluating directory structures to reveal module boundaries. It produces metrics that guide refactor planning and dependency audits.

How do I generate code metrics and structure summaries using MCP tools?

You generate structure summaries by applying MCP tools such as read_file, list_directory, and analyze_code to inspect files. This produces deterministic metrics and summaries of code organization.

What's the best way to map directory structures to identify module boundaries and hotspots?

Mapping directory structures involves listing and evaluating them to reveal project layout and module boundaries. This helps identify hotspots and produces metrics for understanding code organization.