Refactor Scan

Community

yongmmin

refactor-scan

Scan codebase for repeated patterns and produce a refactoring proposal

Overview

Publisher	yongmmin
Repository	`front-agent`
Skill name	`refactor-scan`
Stars	3
Forks	0
Bundled files	Instructions only
Links	Skill source Repository

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 yongmmin on GitHub. Read the source before you install it.

Installation

Install the Refactor Scan 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/yongmmin/front-agent/tree/main/skills/refactor-scan
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/yongmmin/front-agent.git /tmp/front-agent
mkdir -p .claude/skills
cp -r /tmp/front-agent/skills/refactor-scan .claude/skills/refactor-scan

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

Use it in TypingMind

Enable Refactor Scan 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 Refactor Scan 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 Refactor Scan 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.

Skill: refactor-scan

Trigger: /refactor-scan or auto-triggered when component-auditor detects 3+ similar patterns Purpose: Scan codebase for repeated patterns and produce a refactoring proposal.

Activation

Manual: /refactor-scan
Auto: component-auditor detects 3+ duplicate patterns

Workflow


Step 1: refactor-architect (opus)
  → Full codebase scan for:
    - Duplicate JSX structures (3+ occurrences)
    - Repeated state patterns (loading/error/data)
    - Duplicate API call patterns
    - Repeated class strings / inline styles
    - Duplicate utility functions

Step 2: Produce refactor plan.md
  → List all detected patterns
  → Propose extraction targets (component/hook/utility)
  → Estimate impact (files affected, risk level)

Step 3: Present to user
  → "Refactor plan ready. Review plan.md to approve."

Step 4 (after approval): execute-feature
  → Implement the refactoring

Output Format


## Refactor Scan Results

### High Priority (3+ occurrences)
1. loading/error/data state pattern — 5 files → extract: useAsyncData hook
2. Card layout pattern — 4 files → extract: BaseCard component

### Medium Priority
1. Filter + pagination pattern — 3 files → extract: useFilteredList hook

### Low Priority
1. formatDate utility — 2 files → extract: lib/utils.ts

Constraints

Scan only, no changes in this step
Always produce plan.md before any refactoring

Frequently asked questions

What does the Refactor Scan AI skill do?

Scan codebase for repeated patterns and produce a refactoring proposal

Why use Refactor Scan on TypingMind?

Because you install it once and use it with any model. Refactor Scan 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 Refactor Scan in TypingMind?

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

Which AI models can use Refactor Scan?

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 Refactor Scan?

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

Is the Refactor Scan AI skill free?

It is published on GitHub by yongmmin. Check the repository for licensing terms. 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.

View all

Deslop

openclaw

OrganizationPopular

Diff-scoped AI-slop cleanup pass: strip comment slop, defensive-check slop, type-laundering, and style drift from the current branch diff before autoreview.

Discord Clawd

Use to talk to the Discord-backed OpenClaw agent/session; not for archive search.

Discrawl

Discord archive: search, sync freshness, DMs, summaries, TUI, repo/release work.

Gitcrawl

GitHub archive: issue/PR search, sync freshness, duplicate clusters, current GitHub handoff, and Gitcrawl repo work.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Skill: refactor-scan

Activation

Workflow

Output Format

Constraints

Frequently asked questions

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