Which programming languages and frameworks are supported?

The skill is language-agnostic and includes specific verification commands for TypeScript/JavaScript, Python, Rust, and Go ecosystems.

What does 'DRY' stand for in this context?

DRY stands for 'Don't Repeat Yourself,' a core software development principle aimed at reducing repetition of patterns to make code easier to maintain and less prone to bugs.

Does this skill help with unit testing?

Yes, as part of the extraction process, the skill automatically writes new tests for the consolidated abstractions to ensure the shared logic is robust and well-documented.

Can I review changes before the skill modifies my files?

Yes, the skill includes a --dry-run flag for analysis only and presents a formal Extraction Plan for approval before executing any code changes.

How does it handle slight variations in duplicated code?

The skill identifies subtle differences between instances and proposes parameterization strategies to ensure the new shared abstraction satisfies all original use cases.

DRY Code Consolidation

Name: DRY Code Consolidation
Author: laurigates

bylaurigates

•

Developer Tools

Systematically identifies and extracts duplicated code patterns into reusable, tested abstractions across your codebase.

This skill automates the process of adhering to the Don't Repeat Yourself (DRY) principle by scanning directories for redundant logic, components, and hooks. It follows a rigorous 7-step workflow that includes pattern discovery, classification into shared modules, risk assessment, and automated extraction. Beyond just moving code, it handles the complex task of updating imports, parameterizing variations, and generating unit tests for the new abstractions, ensuring that code cleanup improves maintainability without breaking functionality.

Key Features

01Automatic classification into utilities, UI components, hooks, or shared types

0210 GitHub stars

03Multi-file pattern matching for identical or near-identical code blocks

04Automated refactoring with smart import management and parameterization

05Detailed extraction planning with line-saving estimates and risk assessment

06Integrated verification via type-checking, linting, and automated test generation

Use Cases

01Consolidating identical utility functions spread across multiple feature directories

02Refactoring duplicated state management or API logic into unified custom hooks

03Extracting repeated UI patterns like pagination or modals into shared component libraries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add laurigates/claude-plugins dry-consolidation

For use in Claude.ai and ChatGPT

Download Skill