cleanup

Remove dead code, duplicates, and over-abstractions while preserving behavior.

2|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/nextc/nextc-claude --skill cleanup-nextc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cleanup
Source: https://github.com/nextc/nextc-claude/tree/main/nextc-core/skills/cleanup
Command: npx skills add https://github.com/nextc/nextc-claude --skill cleanup-nextc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bounded, regression-safe code cleanup with a deletion-first workflow to remove dead code, duplicates, and over-abstractions without changing behavior.

Core Features & Use Cases

  • Deletion-first cleanup emphasizes removing cruft in small, reversible steps.
  • Safe, incremental refactoring that preserves behavior while simplifying structure.
  • Useful after long coding sessions, after feature work, or whenever a user requests cleanup.

Quick Start

Tell me to perform a bounded cleanup on the current project to remove dead code, consolidate duplicates, and flatten unnecessary abstractions.

Frequently Asked Questions about cleanup

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

FAQPage Schema
How do I safely remove dead code and duplicates without changing program behavior?

Dead code and duplicate removal can be performed safely using a deletion-first workflow that generates small, reversible diffs with per-file reasoning to preserve behavior. This approach minimizes regression risk by enforcing incremental, bounded cleanup steps.

What is the best way to flatten over-abstractions during a codebase cleanup?

Flattening over-abstractions during codebase cleanup is best achieved through behavior-preserving refactoring that removes unnecessary complexity in small, reversible steps. This simplifies structure incrementally while guaranteeing the original program behavior remains completely intact.

When should I perform a bounded cleanup on my active software project?

A bounded cleanup should be performed on active projects after long coding sessions, experiments, or feature work. It is also appropriate whenever you specifically request cruft removal to consolidate duplicates and eliminate dead code before further development.

Does a deletion-first refactoring approach work for ongoing active projects?

A deletion-first refactoring approach works effectively for active projects by applying safe, incremental changes after feature work. It removes cruft through bounded, reversible steps that preserve behavior, ensuring continuous development remains uninterrupted.

Can I consolidate duplicate code without introducing regressions?

You can consolidate duplicate code without regressions by applying a behavior-preserving workflow that relies on safe diffs and per-file reasoning. This ensures the consolidation strictly simplifies the structure without altering the original execution behavior.

What are the limitations of a deletion-first cleanup workflow?

The primary limitation of a deletion-first cleanup workflow is that it is bounded to removing dead code, duplicates, and over-abstractions. It focuses strictly on behavior-preserving structural simplification rather than implementing new features or altering existing program logic.