Skills matching the name, description or GitHub author.
Codex CLI integration for code review and consultation. Use when: (1) code needs review before commit, (2) need expert consultation on implementation approach, (3) debugging assistance needed. This skill provid...
Review code for quality, bugs, security issues, and best practices. Use this skill when the user asks for code review, code analysis, or wants feedback on their code.
WHEN: ORM code review, Prisma/TypeORM/SQLAlchemy/GORM patterns, lazy loading, transactions WHAT: Query efficiency + Lazy/eager loading + Transaction handling + N+1 prevention + Model design WHEN NOT: Raw SQL →...
WHEN: General Python code review, PEP8 compliance, type hints, Pythonic patterns WHAT: PEP8/style check + Type hint validation + Pythonic idioms + Error handling + Documentation WHEN NOT: FastAPI → fastapi-revi...
WHEN: Pandas/NumPy code review, data processing, vectorization, memory optimization WHAT: Vectorization patterns + Memory efficiency + Data validation + Performance optimization + Best practices WHEN NOT: Web f...
WHEN: Machine Learning/Deep Learning code review, PyTorch/TensorFlow patterns, Model training optimization, MLOps checks WHAT: Model architecture review + Training patterns + Data pipeline checks + GPU optimiza...
WHEN: iOS Swift/SwiftUI code review, UIKit patterns, Combine/async-await checks, MVVM structure analysis WHAT: SwiftUI best practices + Combine patterns + Memory management + Performance optimization + Architec...
WHEN: Android Kotlin code review, Jetpack Compose patterns, Coroutines/Flow checks, ViewModel structure analysis WHAT: Compose best practices + Coroutines patterns + State management + Memory leak detection + P...
WHEN: Deep AI-powered code analysis, multi-model code review, security scanning with Codex and Gemini WHAT: Comprehensive code review using external AI models with severity-based findings, deduplication, and se...
WHEN: Flutter/Dart code review, Widget patterns, State management checks, BLoC/Provider/Riverpod analysis WHAT: Widget best practices + State management patterns + Performance optimization + Platform channel re...
WHEN: Code review, quality check, code smell detection, refactoring suggestions WHAT: Complexity analysis + code smell list + severity-based issues + improvement suggestions WHEN NOT: Next.js specific → nextjs-...
WHEN: Java code review, Java idioms, exception handling, collections, streams, Java 17+ features WHAT: Exception patterns + resource management + null safety + stream usage + modern Java features WHEN NOT: Spri...
WHEN: TypeScript code review, type safety audit, tsconfig analysis, TS migration review WHAT: Type safety checks + any usage audit + generic patterns + strict mode + compiler options analysis WHEN NOT: React sp...
WHEN: Spring Boot code review, DI patterns, @Transactional, REST API design, security configuration WHAT: Dependency injection + Transaction management + API design + Security config + JPA patterns WHEN NOT: Ko...
WHEN: Terraform code review, module structure, state management, security policies WHAT: Module organization + State backend + Security policies + Variable validation + Best practices WHEN NOT: Kubernetes → k8s...
Expert in conducting thorough code reviews for Python projects using GitHub MCP, covering test coverage, security practices, PEP 8 compliance, and code organization. Use when reviewing code or PRs.
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement...
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, or Claudish proxy for code review, consensus analysis,...
Comprehensive Spring Framework and Spring Boot best practices including dependency injection patterns, bean lifecycle and scopes, REST API development, Spring Data JPA, service layer design, Spring Security, te...
Comprehensive Django best practices covering project structure, models (field choices, Meta options, managers, QuerySets, migrations), views (CBVs vs FBVs, generic views), Django REST Framework (serializers, Vi...
Comprehensive FastAPI best practices, patterns, and conventions for building production-ready Python web APIs. Covers application structure, async patterns, Pydantic models, dependency injection, database integ...
Comprehensive reference guide for Python type hints, static type checking with mypy, modern type annotation patterns (PEP 484, 585, 604, 612, 613), and type hint best practices for Python 3.9+. Use during code...
Comprehensive Python testing best practices, pytest conventions, test structure patterns (AAA, Given-When-Then), fixture usage, mocking strategies, code coverage standards, and common anti-patterns. Essential r...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.