Refactoring

Organization

DevelopersGlobal

refactoring

Safe, behavior-preserving code transformation backed by tests. Refactor with evidence, not instinct.

Overview

Publisher	DevelopersGlobal
Repository	`ai-agent-skills`
Skill name	`refactoring`
Stars	212
Forks	33
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by DevelopersGlobal on GitHub. Read the source before you install it.

Installation

Install the Refactoring AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/DevelopersGlobal/ai-agent-skills/tree/main/skills/refactoring
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/DevelopersGlobal/ai-agent-skills.git /tmp/ai-agent-skills
mkdir -p .claude/skills
cp -r /tmp/ai-agent-skills/skills/refactoring .claude/skills/refactoring

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Refactoring in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Refactoring on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Refactoring is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Overview

Refactoring changes the internal structure of code without changing its external behavior. The keyword is "without" — if behavior changes, it's not refactoring, it's modification. This skill enforces safe refactoring with tests as the safety net.

When to Use

When code is hard to understand or extend
When duplication makes maintenance risky
Before adding a feature to a messy area of code
Never: "while also adding feature X" — refactor separately

Process

Step 1: Establish a Safety Net

Before touching a single line: ensure there are tests covering the code to be refactored.
If tests are missing: add characterization tests first. These capture current behavior, not desired behavior.
Run the tests. They should all pass. This is your baseline.

Verify: Tests pass. They cover the code being refactored.

Step 2: Refactor in Micro-Steps

Make the smallest meaningful change.
Run tests after EVERY change — not after 10 changes.
If tests break: revert immediately and take a smaller step.
Never batch multiple refactoring changes together.

Verify: Tests pass after every individual change.

Step 3: One Thing at a Time

Refactoring types cannot be mixed in one step:
- Extract method → separate commit
- Rename → separate commit
- Move → separate commit
"Refactor and also fix this" is not refactoring — it's two PRs.

Verify: This commit does exactly one type of refactoring.

Step 4: Verify No Behavior Change

Run the full test suite.
If integration/E2E tests exist: run them too.
Compare external API responses before and after (if applicable).

Verify: All tests pass. No observable behavior change.

Common Rationalizations (and Rebuttals)

Excuse	Rebuttal
"I'll add tests after refactoring"	You can't verify a behavior-preserving refactor without tests before the refactor.
"This change is obviously safe"	Obvious safety is how production incidents happen. Run the tests.
"I'll just do a quick cleanup"	"Quick cleanup" that changes behavior is a bug, not a refactor.

Verification

Tests existed before any code was changed
Tests run after every individual change
Only one type of refactoring per commit
Full test suite passes at the end
No behavior change observable externally

References

test-driven-development skill
simplicity-first skill
Martin Fowler, "Refactoring"

Frequently asked questions

What does the Refactoring AI skill do?

Safe, behavior-preserving code transformation backed by tests. Refactor with evidence, not instinct.

Why use Refactoring on TypingMind?

Because you install it once and use it with any model. Refactoring is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Refactoring in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DevelopersGlobal/ai-agent-skills/tree/main/skills/refactoring. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Refactoring?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Refactoring?

As many as you like. As long as a model supports skills, you can use Refactoring with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Refactoring AI skill free?

Yes. It is published on GitHub by DevelopersGlobal under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Overview

When to Use

Process

Step 1: Establish a Safety Net

Step 2: Refactor in Micro-Steps

Step 3: One Thing at a Time

Step 4: Verify No Behavior Change

Common Rationalizations (and Rebuttals)

Verification

References

Frequently asked questions

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