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Found 172 Skills
Review and implement safe concurrency patterns in Go: goroutines, channels, sync primitives, context propagation, and goroutine lifecycle management. Use when writing concurrent code, reviewing async patterns, checking thread safety, debugging race conditions, or designing producer/consumer pipelines. Trigger examples: "check thread safety", "review goroutines", "race condition", "channel patterns", "sync.Mutex", "context cancellation", "goroutine leak". Do NOT use for general code style (use go-coding-standards) or HTTP handler patterns (use go-api-design).
Review Go project architecture: package structure, dependency direction, layering, separation of concerns, domain modeling, and module boundaries. Use when reviewing architecture, designing package layout, evaluating dependency graphs, or refactoring monoliths into modules. Trigger examples: "review architecture", "package structure", "project layout", "dependency direction", "clean architecture Go", "module boundaries". Do NOT use for code-level style (use go-coding-standards) or API endpoint design (use go-api-design).
Go error handling patterns, wrapping, sentinel errors, custom error types, and the errors package. Grounded in Effective Go, Go Code Review Comments, and production-proven idioms. Use when implementing error handling, designing error types, debugging error chains, or reviewing error handling patterns. Trigger examples: "handle errors", "error wrapping", "custom error type", "sentinel errors", "errors.Is", "errors.As". Do NOT use for panic/recover patterns in middleware (use go-api-design) or test assertion errors (use go-test-quality).
Unix-composable CLI design patterns. Use when building CLI tools, designing command trees, implementing output layers, or testing CLI behavior. Covers stream separation (stdout/stderr), format flags (--json/--plain), exit codes, TTY detection, composability, and error design. Language-agnostic principles; TypeScript implementation patterns in resources/. For API design (REST, HTTP), see api-design.
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.
Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
Build production Spring Boot applications - REST APIs, Security, Data, Actuator
Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.