Codebase Organizer

Split oversized files into AI-friendly modules while preserving dependencies and verifying tests before and after refactoring.

33|5|Updated Sep 26, 2025

Search Tags:#file organization #code refactoring #test validation #codebase maintenance #AI-friendly code #module splitting

Ready to run

npx skills add https://github.com/sunholo-data/ailang --skill codebase-organizer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Codebase Organizer
Source: https://github.com/sunholo-data/ailang/tree/main/.claude/skills/codebase-organizer
Command: npx skills add https://github.com/sunholo-data/ailang --skill codebase-organizer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of unmanageably large code files that hinder AI-assisted development and code maintenance by automatically identifying and refactoring oversized files.

Core Features & Use Cases

File Size Monitoring: Automatically scan and report on codebase file sizes with clear criticality levels.
Intelligent Refactoring: Plan and execute file splits while maintaining code cohesion and test integrity.
Use Case: When your parser.go file grows to 2500+ lines, use this Skill to split it into focused modules for expressions, statements, and types while ensuring all tests pass.

Quick Start

Use the Codebase Organizer skill to check all file sizes in the current repository and identify any files exceeding 800 lines that need refactoring.

Frequently Asked Questions about Codebase Organizer

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

FAQPage Schema

How do I identify which files in my codebase are too large for AI tools to handle efficiently?▼

File size monitoring scans your repository and reports on files exceeding thresholds (typically 500–800 lines), flagging candidates that hinder AI-assisted development and code maintenance with clear criticality levels.

How do I split a large source file into smaller, focused modules while keeping tests passing?▼

Plan and execute file splits by reorganizing functions into cohesive modules with updated imports, then verify integrity by running test and lint validation to ensure all tests pass before and after refactoring.

What's the best approach to refactor an oversized file like a 2500-line parser without breaking dependencies?▼

Identify functions by responsibility, plan splits with naming conventions, relocate functions while preserving dependencies between modules, update all import statements, and run validation tests to confirm the refactored structure works end-to-end.

Can I reorganize my codebase into AI-friendly modules without manual import updates?▼

The refactoring process automatically updates imports when functions relocate between modules, eliminating manual import changes and reducing the risk of broken references during code reorganization.

When should I split files during codebase maintenance instead of leaving them as-is?▼

Split files when they exceed 500–800 lines, as oversized files reduce code readability, slow AI-assisted tooling, complicate testing, and make maintenance harder; splitting into focused modules improves all three.