Home/AI Code Generation & Quality/request-refactor-plan
R

request-refactor-plan

by @mattpocockv
4.5(21)

Create a detailed refactoring plan with small commits based on user interviews. (AI Agent Skill, improves work efficiency and automation capabilities)

code-refactoringsoftware-designtechnical-debtcode-qualityarchitectural-planningGitHub
Installation
npx skills add mattpocock/skills --skill request-refactor-plan
compare_arrows

Before / After Comparison

1
Before

Backend code refactoring often lacks clear planning, leading to chaotic processes and high risks. It's difficult to break down large refactorings into controllable small commits, affecting development progress.

After

This skill involves creating detailed refactoring plans through user interviews and breaking them down into tiny commits. It significantly reduces refactoring risks, ensures code quality, and improves development efficiency.

SKILL.md

This skill will be invoked when the user wants to create a refactor request. You should go through the steps below. You may skip steps if you don't consider them necessary.

  1. Ask the user for a long, detailed description of the problem they want to solve and any potential ideas for solutions.

  2. Explore the repo to verify their assertions and understand the current state of the codebase.

  3. Ask whether they have considered other options, and present other options to them.

  4. Interview the user about the implementation. Be extremely detailed and thorough.

  5. Hammer out the exact scope of the implementation. Work out what you plan to change and what you plan not to change.

  6. Look in the codebase to check for test coverage of this area of the codebase. If there is insufficient test coverage, ask the user what their plans for testing are.

  7. Break the implementation into a plan of tiny commits. Remember Martin Fowler's advice to "make each refactoring step as small as possible, so that you can always see the program working."

  8. Create a GitHub issue with the refactor plan. Use the following template for the issue description:

Problem Statement

The problem that the developer is facing, from the developer's perspective.

Solution

The solution to the problem, from the developer's perspective.

Commits

A LONG, detailed implementation plan. Write the plan in plain English, breaking down the implementation into the tiniest commits possible. Each commit should leave the codebase in a working state.

Decision Document

A list of implementation decisions that were made. This can include:

  • The modules that will be built/modified
  • The interfaces of those modules that will be modified
  • Technical clarifications from the developer
  • Architectural decisions
  • Schema changes
  • API contracts
  • Specific interactions

Do NOT include specific file paths or code snippets. They may end up being outdated very quickly.

Testing Decisions

A list of testing decisions that were made. Include:

  • A description of what makes a good test (only test external behavior, not implementation details)
  • Which modules will be tested
  • Prior art for the tests (i.e. similar types of tests in the codebase)

Out of Scope

A description of the things that are out of scope for this refactor.

Further Notes (optional)

Any further notes about the refactor.

User Reviews (0)

Write a Review

Effect
Usability
Docs
Compatibility

No reviews yet

Statistics

Installs7.3K
Rating4.5 / 5.0
Version
Updated2026年5月19日
Comparisons1

User Rating

4.5(21)
5
48%
4
52%
3
0%
2
0%
1
0%

Rate this Skill

0.0

Compatible Platforms

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

Timeline

Created2026年3月17日
Last Updated2026年5月19日