codebase-cleanup

Remove dead code and debug artifacts while preserving functional behavior.

Updated Jan 16, 2026
One-click install
npx skills add https://github.com/nandkapadia/claude-skills-agents --skill codebase-cleanup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codebase-cleanup
Source: https://github.com/nandkapadia/claude-skills-agents/tree/main/copilot/skills/codebase-cleanup
Command: npx skills add https://github.com/nandkapadia/claude-skills-agents --skill codebase-cleanup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Removes dead code, debug artifacts, and minor security issues from a codebase without altering functional behavior, reducing surface area for production releases.

Core Features & Use Cases

  • Conservative dead code removal: delete code paths with explicit references or no impact, while flagging uncertain cases for review.
  • Debug artifact cleanup: remove stray logs, temporary files, and test data after verification.
  • Security and configuration audit: identify misconfigurations, secrets left in repo, and risky artifacts; ensure they are flagged or removed with care.

Quick Start

Instruct your AI agent to perform a conservative cleanup pass on the repository, removing unused code and artifacts while preserving functionality.

Frequently Asked Questions about codebase-cleanup

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

FAQPage Schema
How do I remove dead code and debug artifacts before a production release?

Pre-release codebase cleanup removes dead code paths, stray logs, and temporary files while preserving functional behavior. It flags uncertain deletions for review and requires linting and tests to pass after cleanup, ensuring safe production releases.

What is conservative dead code removal and how does it work?

Conservative dead code removal deletes code paths with explicit references or no impact while flagging uncertain cases for manual review. It preserves git history readability and enforces linting and basic tests to pass before confirming any deletion.

Can I use this cleanup process on feature branches or only on production workflows?

Codebase cleanup applies across both production- and feature-branch workflows. It handles dead code elimination, debug artifact hygiene, and configuration audits conservatively, making it suitable for pre-release cleanup at any branch stage.

How do I find security risks and secrets left in my repository configuration?

Security and configuration audits identify misconfigurations, secrets left in repo, and risky artifacts during codebase cleanup. They flag or remove these issues with care, reducing the attack surface area for production releases without altering functionality.

What's the best way to clean a codebase without breaking existing functionality?

Conservative codebase cleanup removes dead code, debug artifacts, and security risks while preserving functional behavior. It enforces conservatism by flagging uncertain deletions, maintaining git history readability, and requiring linting and basic tests to pass.

When should I avoid automatic dead code deletion in my repository?

Avoid automatic dead code deletion when code paths lack explicit references or impact analysis is uncertain. Conservative cleanup flags these uncertain cases for review rather than deleting blindly, preventing accidental removal of functional code.