simplicity-audit

Identify over-engineering and unnecessary complexity in codebases.

Updated Jun 22, 2026
One-click install
npx skills add https://github.com/J03Fr0st/mithril --skill simplicity-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: simplicity-audit
Source: https://github.com/J03Fr0st/mithril/tree/main/skills/simplicity-audit
Command: npx skills add https://github.com/J03Fr0st/mithril --skill simplicity-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you identify and remove over-engineering, bloat, unnecessary dependencies, speculative abstractions, and redundant code from your codebase.

Core Features & Use Cases

  • Codebase Audit: Scan the entire codebase for over-engineered or redundant elements.
  • Tagged Findings: Categorize issues with tags like 'delete', 'stdlib', 'native', 'yagni', and 'shrink'.
  • Efficiency Improvement: Prioritize findings for the biggest potential cuts in complexity and performance.

Quick Start

Run the simplicity-audit skill on your codebase.

Frequently Asked Questions about simplicity-audit

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

FAQPage Schema
How do I identify over-engineering and reduce complexity in my codebase?

To identify over-engineering and reduce complexity in a codebase, run an audit to scan for dead code, redundant dependencies, and speculative abstractions. This process categorizes issues using tags like 'delete' and 'shrink' to prioritize the biggest potential cuts.

What is speculative abstraction and how can I find it during a code audit?

Speculative abstraction is unnecessary code built for anticipated future needs rather than current requirements. You can find it during a code audit by scanning the codebase for over-engineered elements and tagging them for deletion or simplification to eliminate bloat.

What is the best way to scan for dead code and redundant dependencies?

The best way to scan for dead code and redundant dependencies is to run a comprehensive codebase audit. This identifies unnecessary bloat and categorizes findings with tags like 'delete' and 'stdlib', allowing you to systematically remove unused elements and improve efficiency.

Can I use this code optimization approach without installing external dependencies?

Yes, you can use this code optimization approach without installing external dependencies because it operates independently. It scans your codebase to identify unnecessary dependencies and suggests utilizing standard library or native alternatives to reduce bloat.

How do I prioritize which redundant code to delete first?

To prioritize which redundant code to delete first, review the audit findings categorized by tags such as 'delete', 'yagni', and 'shrink'. This prioritization highlights the areas offering the biggest potential cuts in complexity and performance improvements.