Refactor Simple logo

Refactor Simple

Organization
greenfield-inc
refactor-simple

Read-only code quality analysis of the branch against the remote default branch for small to medium changes - classifies the diff, derives conventions from the target repo, and writes a refactor plan to ./tmp/. Usually run by the refactor orchestrator; use directly for a quick pre-PR check on 2-10 files.

Overview

Publishergreenfield-inc
RepositoryPane
Skill namerefactor-simple
Stars
529
Forks
227
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by greenfield-inc on GitHub. Read the source before you install it.

Installation

Install the Refactor Simple 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/greenfield-inc/Pane/tree/main/main/src/services/paneChatBundle/skills/refactor-simple
  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/greenfield-inc/Pane.git /tmp/Pane
mkdir -p .claude/skills
cp -r /tmp/Pane/main/src/services/paneChatBundle/skills/refactor-simple .claude/skills/refactor-simple
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Refactor Simple 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 Simple 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 Simple 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.

Simple Refactor

Read-only code quality analysis for small to medium changes.

Safe to run anytime. Analyzes the branch against the target repository's own conventions and writes a refactor plan without modifying files.

What This Does

Fast, focused code quality analysis that:

  1. Classifies your changes (size, type, complexity)
  2. Learns the conventions of the repository you are in
  3. Identifies code smells and convention violations in the lines you changed
  4. Generates a refactor plan with auto-fixable and manual issues
  5. Writes the plan to ./tmp/ for review

When to Use

  • Small changes (2-5 files, 50-200 lines)
  • Medium changes (5-10 files, 200-500 lines)
  • Bug fixes and enhancements
  • Quick pre-PR quality check

For large features (>10 files, >500 lines), use refactor-deep instead. Simple and deep are the whole set: simple is the cheap pass with the cleanest signal-to-noise, deep is the one that finds real defects in big diffs. Run both on a large PR when you want coverage; their findings overlap by about half and the rest is complementary.

Process

1. Classify Changes

Diff against the merge-base with the remote default branch, never a bare local main - a stale local main pulls unrelated commits into the review and every finding in them becomes a false positive.

Resolve the PR/current branch's relevant remote and that remote's default branch before running these commands. If either is ambiguous or unavailable, report the blocked comparison; do not guess a remote or silently review an empty diff. Record the resolved remote, base ref, and merge-base for helpers.

bash
# Resolve the relevant remote from the PR/current branch configuration first.
# Set REFACTOR_REMOTE to that verified name; do not assume origin.
git remote show "$REFACTOR_REMOTE"
# Resolve its actual default branch and set BASE to the verified remote ref.
# Fetch that branch explicitly if the ref is missing/stale, then verify it.
git rev-parse --verify "$BASE^{commit}"
MB=$(git merge-base "$BASE" HEAD)
git diff "$MB" --name-status
git diff "$MB" --numstat
git diff "$MB" --stat

Also enumerate non-ignored untracked files with git ls-files --others --exclude-standard -z. Treat these as added files: include their full contents and handwritten line counts in sizing and analysis, applying the same generated/vendor/lockfile exclusions. Pass this file inventory to every analyzer; plain git diff omits it. Do not stage files to inspect them.

$BASE is the remote's real default branch (main, master, develop), never an assumed name. Diffing from the merge-base to the working tree - one revision, not two - includes committed, staged, and unstaged work, so a pre-PR run sees the edits that are not committed yet.

If the branch is behind $BASE, note it once as "rebase before merge"; it is not a finding and does not lower the score.

Determine:

  • Size: Tiny (<50) | Small (50-200) | Medium (200-500)
  • Type: Bug Fix | Enhancement | Refactor
  • Complexity: Trivial | Simple | Moderate
  • Layers: Backend | Frontend | Both

Size counts changed source lines. A lockfile, generated file, or vendored directory can add thousands of lines and no complexity - say so and classify on the hand-written change.

2. Learn the Repository's Conventions

Conventions come from the repository you are in, never from a rule remembered from another repo. In order:

  1. Read CLAUDE.md / AGENTS.md at the root and in every directory the diff touches. These state the conventions the maintainers actually enforce.
  2. Read two or three exemplar files that neighbour the changed code - files the maintainers clearly consider done - and note how they import, structure, handle errors, and document.
  3. Before flagging any convention violation, confirm the convention exists here. grep how many existing files already do the thing. If the codebase does it everywhere, it is the convention, not a violation.

An import style is a finding only when the target repository's guidance and existing code establish that convention. Explain the actual impact rather than assigning severity from a preference remembered from another project.

Pattern Matrix:

  • Tiny/Bug Fix → Universal smells only
  • Small/Enhancement → Universal + the repo's basic architecture rules
  • Medium → Universal + architecture + documentation for new files

Universal Smells (any repository):

  • Long functions (>100 lines), deep nesting (>3 levels)
  • Magic numbers/strings
  • Missing or swallowed error handling on new paths
  • Unused imports/variables, commented-out code, TODOs without context
  • Duplicate logic: two similar functions, hooks, or types where one with options would do
  • New public surface without a file-level or symbol-level comment when the neighbouring code has them

Repo-Derived Rules (Small+): import style, layering (where logic is allowed to live), state-management and hook patterns, error types, test conventions - whatever steps 1-3 above surfaced, cited to the file that states them.

3. Analyze Files

Read the changed files and the non-ignored untracked file inventory gathered above:

bash
git diff "$MB" --name-only

Pre-existing vs introduced: only issues in lines this branch adds or changes count against the PR. Pre-existing debt in touched files may be listed under Info as "pre-existing, not against this PR" and never lowers the score. Read enough surrounding code to tell the difference - a git blame on the line settles it.

4. Generate Report

Write the plan to ./tmp/simple-refactor-plan-[timestamp].md:

markdown
# Simple Refactor Plan

## Classification
- Size: [X] ([N] hand-written lines; [M] generated/lockfile lines excluded)
- Type: [X]
- Complexity: [X]
- Diff base: merge-base with $BASE at [sha], to working tree
- Conventions sourced from: [files read in step 2]

## Quality Score: X/10

## Issues Found

### Critical (Must Fix)
- [file:line] Description
  → Convention: [file that states it, or "universal"]
  → Fix: How to fix
  → Auto-fixable: Yes/No

### Warnings (Should Fix)
- [file:line] Description
  → Suggestion: Improvement
  → Auto-fixable: Yes/No

### Info (Nice to Have)
- [file:line] Suggestion
- [file:line] Pre-existing, not against this PR: description

## Auto-Fixable Issues: X
## Manual Fixes Required: Y

## Convention Compliance
✓/✗ [each repo-derived rule checked, with its source file]

## Recommendations
1. Hand this plan to `refactor-apply` (auto-fixable first)
2. Manually fix [specific issues]
3. Re-run `refactor-simple` to verify

## References
- Exemplar files studied: [paths]
- Convention sources: [paths]

An empty Critical section is a valid, common result. Do not manufacture findings to fill the template; "no PR-introduced defects" is the honest baseline for a clean change and should score accordingly.

5. Show Next Steps

📊 Analysis complete!
Plan written to: ./tmp/simple-refactor-plan-[timestamp].md
Quality Score: X/10
Auto-fixable: X issues · Manual fixes: Y issues
Issues found: [one line each for criticals and warnings]

Return the plan path to the caller. When run standalone, ask before running `refactor-apply`.

IMPORTANT: This skill never applies fixes. Standalone, ask the user before proceeding to refactor-apply; under refactor, the orchestrator owns that gate.

Command Arguments

  • --strict: Treat Medium as Large (stricter enforcement)
  • --classify-as=<type>: Override type classification
  • --size=<size>: Override size classification

Success Checklist

  • Diffed from the merge-base with the remote default branch to the working tree
  • Changes classified, generated lines excluded from size
  • Conventions read from THIS repo's guidance files and exemplars
  • Every convention finding confirmed by grep before it was written
  • Pre-existing debt separated from PR-introduced issues
  • Auto-fixable vs manual separated
  • Plan written to ./tmp/
  • No files modified (read-only)

This command is read-only and safe. It analyzes code against the conventions of the repository you are in and writes a refactor plan for you to review. Run refactor-apply after reviewing the plan to apply fixes.

Frequently asked questions

What does the Refactor Simple AI skill do?

Read-only code quality analysis of the branch against the remote default branch for small to medium changes - classifies the diff, derives conventions from the target repo, and writes a refactor plan to ./tmp/. Usually run by the refactor orchestrator; use directly for a quick pre-PR check on 2-10 files.

Why use Refactor Simple on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/greenfield-inc/Pane/tree/main/main/src/services/paneChatBundle/skills/refactor-simple. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Refactor Simple?

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 Simple?

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

Is the Refactor Simple AI skill free?

It is published on GitHub by greenfield-inc. 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.

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