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refactor-team

Orchestrate team-based code refactoring with user-approved changes and test integration.

4|Updated Jan 12, 2026
Search Tags:#code quality#automation#developer tools#code analysis#refactoring#AI agents
One-click install
npx skills add https://github.com/signalcompose/claude-tools --skill refactor-team
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: refactor-team
Source: https://github.com/signalcompose/claude-tools/tree/main/plugins/code/skills/refactor-team
Command: npx skills add https://github.com/signalcompose/claude-tools --skill refactor-team

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of refactoring codebases by identifying areas for improvement, proposing changes, and executing them with user approval, ensuring code quality and maintainability.

Core Features & Use Cases

  • Automated Code Analysis: Detects code smells, complexity issues, and potential improvements based on defined criteria.
  • Team-based Refactoring: Orchestrates multiple AI agents (Analyzer and Refactorer) to perform refactoring tasks.
  • User-Approved Changes: Presents proposed changes to the user for explicit approval before execution.
  • Test Integration: Runs automated tests after refactoring to ensure no functional regressions.
  • Use Case: Improve the readability and maintainability of a legacy Python module by identifying and fixing duplicated code, simplifying complex functions, and standardizing naming conventions.

Quick Start

Use the refactor-team skill to analyze and refactor the code in the current project.

Frequently Asked Questions about refactor-team

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

FAQPage Schema
How do I automate code refactoring to fix DRY violations and complexity?▼

You can automate code refactoring by using AI agents that analyze target files to identify DRY violations, complexity, and naming issues, then apply user-approved changes to improve maintainability.

How does AI code analysis detect code smells and maintain code quality?▼

AI code analysis detects code smells by evaluating files against defined criteria like complexity and duplication, orchestrating multiple agents to propose targeted improvements for user approval.

Can I use automated refactoring without breaking existing test frameworks?▼

Automated refactoring integrates directly with your project testing frameworks to run tests after applying changes, ensuring functional preservation and preventing regressions before committing.

What is the best way to orchestrate team-based refactoring for a legacy codebase?▼

Team-based refactoring orchestrates AI agents to analyze legacy modules for complexity and naming issues, presenting proposed changes for explicit user approval before execution and commit.

Does automated refactoring commit changes directly to my repository?▼

Automated refactoring commits changes with specific prefixes only after you explicitly approve the proposed modifications and the integrated testing framework confirms no functional regressions.

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