refactor:nextjs

More from snakeo/claude-debug-and-refactor-skills-plugin

• refactor:laravel

  Refactor PHP/Laravel code to improve maintainability, readability, and adherence to best practices. This skill transforms code using modern PHP 8.3+/8.4+ features like property hooks and typed constants, Laravel 11+ patterns including Actions and simplified structure, and SOLID principles. It addresses fat controllers, code duplication, N+1 queries, and missing type declarations. Apply when you notice business logic in controllers or legacy PHP patterns.

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• refactor:react

  Refactor React and TypeScript code to improve maintainability, readability, and performance. This skill transforms complex React components into clean, well-structured code following modern React 19 patterns. It addresses component bloat, prop drilling, unnecessary re-renders, and improper hook usage. Leverages React 19 features including the React Compiler for automatic memoization, Actions for form handling, useOptimistic for immediate UI feedback, the use() hook for async data, and Server Components for optimal performance.

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• refactor:angular

  Refactor Angular code to improve maintainability, readability, and adherence to best practices. Transforms large components, nested subscriptions, and outdated patterns into clean, modern Angular code. Applies signals, standalone components, OnPush change detection, proper RxJS patterns, and Angular Style Guide conventions. Identifies and fixes memory leaks, function calls in templates, fat components, and missing lazy loading.

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• debug:react

  Debug React issues systematically. Use when encountering component errors like "Cannot read property of undefined", infinite re-render loops with "Too many re-renders", stale closures in hooks, key prop warnings, memory leaks with useEffect, hydration mismatches in SSR/SSG applications, hook rule violations, missing dependency warnings, or performance bottlenecks. Covers functional components, hooks, and modern React 18/19 patterns including Server Components and concurrent features.

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• debug:pandas

  Debug Pandas issues systematically. Use when encountering DataFrame errors, SettingWithCopyWarning, KeyError on column access, merge and join mismatches with unexpected NaN values, memory errors with large DataFrames, dtype conversion issues, index alignment problems, or any data manipulation errors in Python data analysis workflows.

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