Physics91

This skill reviews database migrations for safety, backwards compatibility, rollback readiness, and zero-downtime deployment to protect data integrity.

This skill reviews Rust API projects using Actix-web, Axum, or Rocket to optimize async handlers, extractors, and error handling.

This skill helps review ORM code for query efficiency, loading strategies, transactions, and N+1 prevention to improve data access.

This skill reviews Django projects for ORM optimization, view patterns, security, and admin practices to improve performance, safety, and maintainability.

This skill reviews Spring Boot projects for DI patterns, transaction management, REST API design, security config, and JPA best practices to improve

This skill reviews CI/CD pipelines for structure, security, and optimization, helping you improve workflows across GitHub Actions, GitLab CI, and Jenkins.

This skill performs deep multi-model code reviews with Codex and Gemini, aggregating findings, deduplicating results, and detecting secrets to improve security

This skill reviews Go code for idiomatic patterns, error handling, concurrency, and testing to improve robustness and readability.

This skill reviews Java code for idioms, exception handling, resources, null safety, streams, and modern Java features to improve quality.

This skill analyzes test coverage to identify untested files and prioritize improvements for high-impact areas.

This skill reviews Kotlin Multiplatform projects to validate expect/actual, shared module structure, and iOS interop, ensuring clean separation and correct

This skill reviews Dockerfiles and docker-compose for optimization, security, and best practices to improve build speed and image safety.

This skill reviews Android Kotlin code for Compose, Coroutines, Flow, and ViewModel best practices to improve reliability and performance.

This skill reviews Next.js patterns including App Router, Server Components, and data fetching to optimize architecture and performance.

This skill reviews Flutter/Dart code for widget patterns, state management, performance, and platform channels to optimize quality and reliability.

This skill reviews Python code for PEP8, type hints, and Pythonic idioms, improving maintainability and reducing errors.

This skill reviews database schemas for normalization, constraints, data types, and indexing to improve integrity and performance.

This skill reviews ML/DL code for PyTorch/TensorFlow patterns, training optimization, data pipelines, and MLOps checks to improve model quality and reliability.

This skill reviews GraphQL schemas, resolvers, and operations for N+1, query complexity, input validation, and error handling to improve security and