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supercharge

Scan codebases for AI-generated code issues and generate refactoring plans.

3|Updated Jan 20, 2026
Search Tags:#automation#refactoring#maintenance#code-quality#hygiene#ai-slop
One-click install
npx skills add https://github.com/asteroid-belt/skills --skill supercharge
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: supercharge
Source: https://github.com/asteroid-belt/skills/tree/main/skills/supercharge
Command: npx skills add https://github.com/asteroid-belt/skills --skill supercharge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Weekly codebase hygiene skill that identifies and fixes AI-generated code problems ("slop") using Martin Fowler's refactoring techniques. Scans for 15 common issues, prioritizes by severity, and generates superplan-compatible plans for systematic improvement.

Core Features & Use Cases

  • Scans the codebase for 15 AI code problems with examples
  • Prioritizes issues by severity (CRITICAL → HIGH → MEDIUM → LOW)
  • Plans refactorings using the superplan format
  • Executes safe refactorings automatically, requests approval for others
  • Verifies no behavioral changes occurred
  • Reports hygiene metrics and trends over time

Quick Start

Use the supercharge skill to kick off a weekly hygiene cycle on a target project.

Frequently Asked Questions about supercharge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect and clean up AI-generated code slop in my codebase?▼

AI-code hygiene automation scans your codebase to identify 15 common AI-generated code problems, prioritizes them by severity from CRITICAL to LOW, and generates refactoring plans to clean up the slop systematically.

What is the best way to automate weekly codebase refactoring for code quality?▼

Weekly codebase refactoring automation applies Martin Fowler's techniques to scan for AI code slop, generate superplan-compatible refactoring plans, execute safe changes automatically, and verify no behavioral changes occurred.

Can I use automated refactoring on actively developed codebases across multiple programming languages?▼

Yes, automated AI-code hygiene applies to actively developed codebases across languages, detecting common issues and prioritizing remediation by severity while enforcing safety through characterization tests and coverage gates.

How do refactoring plans ensure safe code maintenance without behavioral changes?▼

Safe refactoring plans enforce behavioral stability by utilizing characterization tests, test coverage gates, and integration with superplan and superbuild, requesting manual approval for changes that carry higher risk.

What types of AI code problems should I look for during weekly code maintenance?▼

Weekly code maintenance should target 15 common AI-generated code slop issues, scanned and categorized by severity levels ranging from CRITICAL and HIGH to MEDIUM and LOW, to prioritize remediation effectively.

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