desloppify

Scan codebases with desloppify and apply maintainability fixes.

1|1|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/agmangas/agent-skills --skill desloppify-agmangas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: desloppify
Source: https://github.com/agmangas/agent-skills/tree/main/skills/desloppify
Command: npx skills add https://github.com/agmangas/agent-skills --skill desloppify-agmangas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires desloppify, and includes scripts (resource) components.

What problem does it solve?

Desloppify addresses the challenge of maintaining high code quality by identifying and resolving maintainability issues in a repository.

Core Features & Use Cases

  • Code Quality Auditing: Identifies maintainability issues in the codebase.
  • Automated Improvements: Applies improvements to the codebase based on desloppify findings.
  • Use Case: When you need to systematically improve the quality of a codebase, desloppify can be used to scan the code and apply fixes.

Quick Start

Run desloppify on your codebase with the command: desloppify scan --path .

Frequently Asked Questions about desloppify

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

FAQPage Schema
How do I identify maintainability issues in my codebase?

To identify maintainability issues in a codebase, you can run a systematic code quality audit using the command `desloppify scan --path .` to detect and report issues across your repository files.

Can I automatically apply code quality improvements to my repository?

Yes, you can automatically apply code quality improvements by running desloppify, which scans the codebase for maintainability issues and then systematically applies fixes to resolve the detected problems.

Do I need Python 3.11 to run maintainability checks on my code?

Yes, you need Python 3.11 or higher installed in your environment to execute desloppify and perform maintainability checks and systematic codebase issue resolution.

What is the best way to systematically improve codebase maintainability?

The best way to systematically improve codebase maintainability is to use an auditing tool to scan for code quality issues and apply automated fixes, ensuring consistent resolution across the entire repository.

Are there limitations to using automated code quality auditing tools?

Automated code quality auditing requires Python 3.11 and the desloppify dependency installed, and it focuses specifically on maintainability issues rather than addressing runtime performance or security vulnerabilities.