file-explorer

Analyze project file structures to identify clutter and mistracked files.

1|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/tygwan/ultra-codex-init --skill file-explorer-tygwan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: file-explorer
Source: https://github.com/tygwan/ultra-codex-init/tree/main/.codex/skills/file-explorer
Command: npx skills add https://github.com/tygwan/ultra-codex-init --skill file-explorer-tygwan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Project cleanliness is critical for maintainable codebases; this Skill analyzes project structures to identify clutter, stray artifacts, and mistracked files, enabling teams to maintain clean repos.

Core Features & Use Cases

  • File Discovery: Scans directories to map structure and reveal disorder.
  • Cleanup Analysis: Detects build outputs, logs, caches, and temporary files that should be ignored or deleted.
  • Git Hygiene & .gitignore: Proposes ignore patterns and flags files wrongly tracked.
  • Disk Usage & Optimization: Reports large files/folders and suggests consolidation.
  • Use Case: A repo with mixed-language sources gets a remediation plan and improved ignore rules.

Quick Start

Command the agent to scan the current project, identify clutter, and output recommended ignore rules and cleanup steps.

Frequently Asked Questions about file-explorer

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

FAQPage Schema
How do I clean up unnecessary build artifacts and cache files in my repository?

To clean up build artifacts and caches, this skill scans your project structure to detect temporary files, logs, and metadata, then delivers structured remediation steps and repeatable audit scripts to remove the identified clutter.

How do I generate the right .gitignore patterns for a multi-language project?

To generate .gitignore patterns for mixed-language trees, the skill analyzes your directory structure to identify mistracked files and proposes optimized ignore rules tailored to the specific build outputs and caches found in your repository.

What is the best way to find large files and reduce disk usage in a codebase?

The best way to reduce disk usage is running a project structure analysis, which reports large files and folders consuming space and suggests consolidation strategies to optimize your repository footprint.

Can I use this to audit a multi-language repository with mixed source trees?

Yes, the cleanup analysis applies across multi-language source trees, identifying stray artifacts and incorrectly tracked files regardless of the programming languages used in your project structure.

Why are build outputs still showing up in my git status despite having a .gitignore file?

Build outputs appear in git status when files are mistracked, meaning they were committed before ignore rules were added; this skill flags wrongly tracked files and proposes corrected gitignore patterns to resolve the hygiene issue.