Loading...
Loading...
Found 163 Skills
In-depth code review for large PRs (>500 lines). Full analysis including architecture, performance, security, and maintainability.
Simplify and refactor code for clarity, consistency, and maintainability while preserving exact behavior. Use when code was just added or modified and needs readability-focused cleanup without changing outputs, side effects, or external interfaces.
Perform a thorough code review focused on correctness, maintainability, performance, and best practices.
Conduct context-driven code reviews focusing on quality, testability, and maintainability. Use when reviewing code, providing feedback, or establishing review practices.
Python code security analysis, performance optimization, and maintainability assessment
Perform thorough code reviews following Google's 5-step methodology. Use when reviewing pull requests, change lists, or any code changes to ensure quality, correctness, and maintainability.
Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.
System Audit - Proactively identify bug risks, security vulnerabilities, performance issues, maintainability debt, and architecture drift from code, and generate a batch list of findings. Triggers: Users say "review the system", "audit code", "scan for issues", "find bugs", "what can be optimized".
Expert code refactoring based on Martin Fowler's catalog — improve maintainability without changing behavior. Covers code smells, composing methods, moving features, organizing data, simplifying conditionals, method calls, and generalization. Triggers on: refactor, 重构, clean up, improve code, code smell, extract method, rename, simplify.
Organize project files and folders for maintainability and scalability. Use when structuring new projects, refactoring folder structure, or establishing conventions. Handles project structure, naming conventions, and file organization best practices.
Comprehensively reviews SwiftUI code for best practices on modern APIs, maintainability, and performance. Use when reading, writing, or reviewing SwiftUI projects.
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications for better maintainability.