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Explains Go slice/map/array/container internals, allocation patterns, generic collections, and safety guidance so engineers can pick or tune the right data structure for performance-critical code.

Explicit Go architect guidance for production-ready APIs covering functional options, error flow, resource management, graceful shutdown, dependency injection, data handling, streaming, and resilience when designing or hardening Go applications.

Guides Go distributed-system engineers through protobuf layout, interceptor design, error handling, TLS/mTLS setup, bufconn testing, and streaming RPC patterns so they can implement, review, and debug real-world gRPC servers and clients with production-grade operability.

Golang performance optimization patterns and methodology; applies when profiling or benchmarks highlight a bottleneck and you need targeted solutions for allocations, CPU, GC tuning, caching, pooling, or hot-path code reviews.

Monadic types from samber/mo provide Go projects with Option, Result, Either, Future, IO, Task, and State abstractions to keep nulls safe, errors composable, and side effects predictable whenever you adopt functional patterns or import github.com/samber/mo.

Guides Go developers through struct/interface design best practices, covering interface segregation, composition, dependency injection, type assertions, and choosing pointer vs value receivers to keep APIs clear and testable.

Provides shared GWS CLI behaviors for authentication, global flags, formatting, pagination, and safety patterns, plus zsh tips and community guidance for safely scripting workspace workloads.

Upgrades existing websites and apps to premium quality by auditing typography, color, layout, and UI patterns, then applying targeted tweaks within the current stack without rewrites.

Showcases Django project layout, ORM/query tuning, DRF serializer validation, signal usage, middleware timing and anti-patterns to keep apps maintainable and performant.

This tool generates a comprehensive context map of a codebase before making any modifications. It guides developers to systematically analyze all relevant files, dependencies, existing tests, and common patterns. Use it to assess the full scope of a task, identify potential breaking changes, and ensure a robust and stable development cycle.

This guide provides comprehensive best practices for writing robust and high-performance asynchronous code in C#. It covers naming conventions, optimal return types (Task, ValueTask), advanced patterns like the async command pattern, proper exception handling, and crucial performance considerations (e.g., using Task.WhenAll() and avoiding deadlocks with ConfigureAwait(false)). Ideal for developers looking to master modern C# concurrency.

This skill guides the generation of a complete, production-ready Model Context Protocol (MCP) server using C# and .NET. It covers advanced architectural patterns, including Host builder setup, proper dependency injection, structured logging, and implementing robust functional tools. Ideal for developers building sophisticated AI agents or backend services that require standardized communication and tool invocation capabilities.