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Refactoring Team

Community
lexler
refactoring-team

Iterative code refactoring through progressive lenses via a worker-reviewer agent team.

Overview

Publisherlexler
Repositoryskill-factory
Skill namerefactoring-team
Stars
239
Forks
63
Bundled files
50
LicenseApache-2.0
Links
  • 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.

  • 50 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by lexler on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/lexler/skill-factory/tree/main/output_skills/ai/claude-code/refactoring-team
  4. 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.
2

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/lexler/skill-factory.git /tmp/skill-factory
mkdir -p .claude/skills
cp -r /tmp/skill-factory/output_skills/ai/claude-code/refactoring-team .claude/skills/refactoring-team
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Refactoring Team 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 Team 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 Team 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.

STARTER_CHARACTER = 💎

Prerequisites

Agent teams must be enabled in settings:

json
{
  "env": {
    "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
  }
}

If not set, offer to add it before proceeding.

Setup

If $ARGUMENTS provided, use as target path. Otherwise ask for:

  • Target path (files or folder to refactor)
  • Test command to verify changes

Verify the target path exists and tests pass before proceeding.

Launch the Team

Generate a short random ID: head -c 3 /dev/urandom | xxd -p | head -c 3

Use it to name the teammates:

  • Worker: worker-ID (e.g. worker-a3f)
  • Reviewer: reviewer-ID (e.g. reviewer-a3f)

Read the spawn prompts:

Before spawning, replace these placeholders in both prompts:

  • TARGET_PATH → actual target path
  • TEST_COMMAND → actual test command
  • LENSES_DIR → ${CLAUDE_SKILL_DIR}/references/lenses
  • GUIDES_DIR → ${CLAUDE_SKILL_DIR}/references/reviewer-guides
  • WORKER_NAME → the worker's name (e.g. worker-a3f)
  • REVIEWER_NAME → the reviewer's name (e.g. reviewer-a3f)

After Launch

Tell the user:

  • Shift+Down cycles between worker and reviewer
  • For split panes: set teammateMode: "tmux" in settings

Monitor Progress

When a worker goes idle, read .refactoring-state to check the lens number. If it skipped a value, message the reviewer to go back and complete the skipped lens first.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Refactoring Team AI skill do?

Iterative code refactoring through progressive lenses via a worker-reviewer agent team.

Why use Refactoring Team on TypingMind?

Because you install it once and use it with any model. Refactoring Team 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 Team in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lexler/skill-factory/tree/main/output_skills/ai/claude-code/refactoring-team. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Refactoring Team?

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 Team?

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

Is the Refactoring Team AI skill free?

Yes. It is published on GitHub by lexler under the Apache-2.0 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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