Ensures code quality through reviews, refactoring, technical debt management, and clean code practices
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms. Ideal for Next.js, React, Node.js applications requiring containerization for development, production, or CI/CD pipelines. Use this skill when users need Docker configurations, multi-stage builds, container orchestration, or deployment to Kubernetes, ECS, Cloud Run, etc.
Comprehensive Rust development guidelines based on 6 months of code reviews. Use when writing Rust code, debugging Rust issues, or reviewing Rust PRs. Covers error handling, file I/O safety, type safety patterns, performance optimization, common footguns, and fundamental best practices. Perfect for both new and experienced Rust developers working on CLI tools, hooks, or production code.
Acquire expert Rust developer specialisation in rust systems programming, memory safety, and zero-cost abstractions. Masters ownership patterns, async programming, and performance optimisation for mission-critical applications.