Identify code smells, dead code, and technical debt across repositories.
npx skills add https://github.com/brolag/neural-claude-code --skill slop-scan
Please help me install this Agent Skill. Skill: slop-scan Source: https://github.com/brolag/neural-claude-code/tree/main/skills/slop-scan Command: npx skills add https://github.com/brolag/neural-claude-code --skill slop-scan
Slop Scan identifies and exposes code smells, dead code, and technical debt to prevent accumulation and enable targeted refactors.
Run the slop-scan to generate a comprehensive slop report for your project.
High-intent search queries and answers about installing and using this skill.
To identify technical debt and dead code across an entire repository, you can run a static analysis scan. This process inventories your project to surface hotspots, applies severity scoring, and generates an actionable report for targeted refactoring.
Prioritizing code refactors in a large project is best achieved by generating a Quick Wins view. This analysis scores the severity of detected code smells and technical debt, guiding engineers toward high-impact areas and recently changed directories first.
Static analysis for code smells does work on multi-language projects. The scanning process is designed to handle multiple languages within your repository, allowing you to target entire projects or specific directories to detect patterns and inventory technical debt.
Detecting code smells to prevent code slop accumulation requires scanning your repository to expose technical debt. This analysis identifies problematic patterns, dead code, and hotspots, generating actionable reports that enable targeted refactors before debt builds up.
You can run a code quality scan on specific targeted directories instead of the whole project. The analysis prioritizes changed areas and allows directory-level scanning, ensuring your technical debt reports focus precisely on active development zones.
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