simplify

Review recently changed code and apply minimal fixes for reuse, clarity, and efficiency.

6|Updated Mar 19, 2026

Search Tags:#automation #cleanup #quality #refactor #review #code-review #simplify

Ready to run

npx skills add https://github.com/nesquikm/dev-process-toolkit --skill simplify-nesquikm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: simplify
Source: https://github.com/nesquikm/dev-process-toolkit/tree/main/plugins/dev-process-toolkit/skills/simplify
Command: npx skills add https://github.com/nesquikm/dev-process-toolkit --skill simplify-nesquikm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Review recently changed files for reuse, clarity, and efficiency, and fix issues found. This skill complements the code-reviewer rubric by focusing on cleanup — reuse, clarity, and efficiency — on files that have already passed review. Follow the code-reviewer rubric as the source of truth for naming, pattern compliance, and overall quality.

Core Features & Use Cases

Reuse improvements: identify duplicated logic and extract into shared helpers to reduce technical debt.
Quality improvements: improve naming, reduce unnecessary complexity, and remove hardcoded values by using configuration or constants.
Efficiency improvements: optimize obvious performance issues and eliminate unnecessary allocations or overhead.

Quick Start

Review the latest changes and apply minimal, focused fixes, then run the gate check to verify stability.

Frequently Asked Questions about simplify

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

FAQPage Schema

How do I clean up recently changed code after a feature implementation?▼

To clean up recently changed code, you review the modified files for reuse, clarity, and efficiency, then apply minimal fixes to improve naming, reduce complexity, and remove hardcoded values before running a gate check to verify stability.

What is the best way to refactor code for reuse and readability post-review?▼

Refactoring for reuse and readability involves identifying duplicated logic to extract into shared helpers, improving naming conventions, and replacing hardcoded values with configuration or constants to reduce technical debt on recently changed files.

Can I optimize code efficiency and eliminate unnecessary allocations during cleanup?▼

Yes, you can optimize code efficiency during cleanup by targeting obvious performance issues and eliminating unnecessary allocations or overhead found within the files that were recently modified during feature development.

Does post-review cleanup require touching the entire repository or only modified files?▼

Post-review cleanup requires touching only recently changed files to ensure focused improvements, directly addressing naming, pattern compliance, and overall quality within the scope of your latest feature implementation.

Why should I run a deterministic gate-check after refactoring recently changed files?▼

You run a deterministic gate-check after refactoring recently changed files to verify that your modifications for reuse, readability, and efficiency maintain overall system stability and do not introduce regressions.

When do I need to follow a code-reviewer rubric for code cleanup?▼

You need to follow a code-reviewer rubric for code cleanup when you want to ensure pattern compliance and overall quality, using the rubric as the source of truth for evaluating naming and structural improvements on modified files.