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Refactor code while preserving behavior, improving clarity, and reducing complexity. \n \n Covers five core refactoring patterns: Extract Method, DRY principle removal, conditional-to-polymorphism conversion, parameter object introduction, and SOLID principle application \n Includes behavior validation workflow with pre-refactoring analysis, post-refactoring testing (unit, type, lint, snapshot), and change documentation \n Provides refactoring checklist covering function length, parameter count,

This skill provides structured, comprehensive code review for React applications. It evaluates code against React 19 best practices, component architecture patterns, hook usage, accessibility standards, and production-readiness criteria. The review produces actionable findings categorized by severity (Critical, Warning, Suggestion) with concrete code examples for improvements.

Simple, pragmatic, opinionated. Only what matters for writing production-grade Rust code.

Comprehensive, library-agnostic checklist for reviewing Flutter/Dart applications. These principles apply regardless of which state management solution, routing library, or DI framework is used.

Find unused functions and dead code using TLDR static analysis.

Perform comprehensive code reviews of GitLab merge requests, providing actionable feedback on code quality, security, performance, and best practices.

Behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity and clarity in coding practices.

Expert code review of current git changes with a senior engineer lens. \n \n Detects SOLID violations (SRP, OCP, LSP, ISP, DIP), architecture smells, and proposes incremental refactors with clear rationale \n Scans for security risks including injection, XSS, AuthZ gaps, race conditions, and unsafe deserialization with exploitability assessment \n Identifies removal candidates and unused code with safe deletion vs. deferred plans and concrete follow-up checkpoints \n Flags code quality issues: e

Expert code review identifying security vulnerabilities, performance issues, and quality problems. \n \n Organizes findings by priority: security (critical), performance (high), correctness (high), maintainability (medium), and testing \n Covers five core vulnerability categories: SQL injection, XSS, authentication bypasses, hardcoded secrets, and insecure dependencies \n Detects performance bottlenecks including N+1 queries, missing indexes, inefficient algorithms, and memory leaks \n Provides

Structured code review for security, performance, correctness, and maintainability across PR diffs and file changes. \n \n Audits security risks including SQL injection, XSS, CSRF, authentication flaws, and credential exposure \n Identifies performance issues like N+1 queries, memory leaks, algorithmic complexity, and resource leaks \n Checks correctness for edge cases, race conditions, error handling, and type safety gaps \n Works standalone with diffs and file paths; integrates with source con