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sweeper

Automates code maintenance tasks using parallel AI agents and VM isolation.

14|Updated Mar 13, 2026
Search Tags:#code quality#linting#refactoring#AI agent#code maintenance
One-click install
npx skills add https://github.com/pcc-labs/sweeper --skill sweeper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sweeper
Source: https://github.com/pcc-labs/sweeper/tree/main
Command: npx skills add https://github.com/pcc-labs/sweeper --skill sweeper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires golangci-lint, claude, codex, ollama, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates code maintenance tasks, allowing developers to efficiently fix issues, refactor code, and improve quality without manual intervention.

Core Features & Use Cases

  • Parallel AI Agents: Dispatch multiple AI agents to fix issues across your codebase simultaneously.
  • VM Isolation: Isolate each agent in a dedicated stereOS virtual machine for security and resource management.
  • Swappable Providers: Integrate with Claude Code, OpenAI Codex, or local models via Ollama.
  • Use Case: Use this Skill to automatically fix lint issues, refactor code, or improve documentation across a large codebase, saving hours of manual work.

Quick Start

Use the sweeper skill to run linters and automatically fix issues in your codebase.

Frequently Asked Questions about sweeper

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

FAQPage Schema
How do I automate code maintenance and lint fixing across a large codebase?▼

To automate code maintenance and lint fixing, you can use this Skill to dispatch parallel AI agents that simultaneously resolve issues and refactor code across large codebases without manual intervention.

Can I use local models via Ollama for AI-driven refactoring instead of Claude Code?▼

Yes, AI-driven refactoring supports swappable providers, allowing you to use local models via Ollama, Claude Code, or OpenAI Codex to process code maintenance tasks according to your environment.

How does virtual machine isolation improve security during automated refactoring?▼

Virtual machine isolation improves automated refactoring security by isolating each parallel AI agent in a dedicated stereOS virtual machine, ensuring secure resource management and preventing cross-agent interference.

What is the best way to handle golangci-lint fixes using parallel AI agents?▼

The best way to handle golangci-lint fixes is running this Skill to apply parallel AI agents that automatically detect and resolve lint issues across your codebase, saving hours of manual work.

Do I need golangci-lint installed to run automated code maintenance?▼

Yes, golangci-lint is a required dependency to run this automated code maintenance Skill, alongside your chosen AI processing provider like Claude Code, OpenAI Codex, or Ollama local models.

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