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Found 163 Skills
Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill when designing or implementing Python backend services that require maintainability, testability, and scalability.
Test coverage-focused code review. Apply when reviewing code for missing unit tests, integration tests, edge cases, error handling paths, test quality, and test maintainability.
Automated code review for security, performance, and maintainability. Use when asked for code review, security audit, quality check, PR review, or to find issues in code.
Improve existing code through safe, behavior-preserving Clean Code refactoring. Use when the user asks to refactor code, clean up messy code, improve readability, simplify structure, reduce duplication, improve naming, review maintainability, or apply Clean Code principles. Do not use for broad architecture redesign unless the user asks for redesign.
Perform SGLang code review in the style of human maintainers by consulting the 2024-2025 non-agent PR review corpus, including inline code snippets, original multilingual comments, and discussion threads. Use when reviewing SGLang PRs, diffs, patches, or local changes for correctness, tests, performance, GPU/runtime risks, API compatibility, and maintainability.
Use when reviewing code, pull requests, patches, CLs, diffs, or proposed implementations for engineering quality, code health, design, functionality, tests, maintainability, specialist risk, or approval risk. TRIGGER on "review this PR", "code review", "LGTM?", "approve?", "is this code/diff/change safe to merge/deploy?", and local diff reviews. DO NOT TRIGGER for PR descriptions, PR splitting, author review-feedback responses, or non-code safety questions unless code review is requested.
When working with FaasJS projects, must follow these best practices to ensure code quality, maintainability, and testability.
Pre-consultation diagnostic questionnaire for clients building websites with AI tools (Claude, Codex, Cursor, Bolt, v0, etc.) who have concerns about quality, design, or maintainability. Collects structured answers about their project, tools, pain points, and goals, then generates a consultation brief. Use when preparing for a website review consultation, when a client asks for a site audit, or when someone says their AI-built site has problems. Supports Russian and English — asks the client to choose language first.
Backend code quality for clean, production-ready, maintainable code. Adapts to the existing language, framework, and style. Covers functions, reusability, modern syntax, error prevention, readability, and security awareness. Use when writing, reviewing, or refactoring backend code for quality, maintainability, or production readiness.
Refactor Flask code to improve maintainability, readability, and adherence to best practices. This skill transforms Flask applications using the application factory pattern, Blueprint organization, and service layer separation. It addresses fat route handlers, missing error handling, improper context local usage, and security issues. Apply when you notice global app instances, routes without Blueprints, business logic in handlers, or missing CSRF protection.
Refactor Flutter/Dart code to improve maintainability, readability, and performance. This skill applies Dart 3 features like records, patterns, and sealed classes, implements proper state management with Riverpod or BLoC, and uses Freezed for immutable models. It addresses monolithic widgets, missing const constructors, improper BuildContext usage, and deep nesting. Apply when you notice widgets doing too much, performance issues from unnecessary rebuilds, or legacy Dart 2 patterns.
Refactor Spring Boot and Java code to improve maintainability, readability, and adherence to enterprise best practices. This skill transforms messy Spring Boot applications into clean, well-structured solutions following SOLID principles and Spring Boot 3.x conventions. It addresses fat controllers, improper transaction boundaries, field injection anti-patterns, and scattered configuration. Leverages Java 21+ features including record patterns, pattern matching for switch, virtual threads, and sequenced collections.