
π―Skills18
Go-specific agent skills based on the Uber Go Style Guide, Effective Go, and production experience with large-scale Go services. Helps AI agents write idiomatic Go instead of Java-flavored code, with proper error handling and Go conventions.
Provides Go coding style conventions covering naming, imports, struct initialization, and formatting, built on the Uber Go Style Guide and Effective Go to help AI agents write idiomatic Go code.
Curated AI agent skills for Go projects built on the Uber Go Style Guide and Effective Go, covering code quality, architecture, data, testing, and concurrency. Teaches agents to write idiomatic Go with proper error handling, consumer-side interfaces, and table-driven tests.
Curated AI agent skills for Go projects covering code quality, architecture, testing, security auditing, and performance optimization, built on the Uber Go Style Guide and Effective Go best practices.
Go-specific AI agent skills built on the Uber Go Style Guide and Effective Go, covering code review, error handling, context propagation, interface design, concurrency, testing, database patterns, and performance profiling for idiomatic Go development.
A curated collection of AI agent skills for Go projects, teaching idiomatic Go patterns based on the Uber Go Style Guide and Effective Go. Covers code review, error handling, concurrency, testing, context propagation, and performance optimization.
An agent skill for idiomatic Go error handling, covering error wrapping, sentinel errors, custom error types, and the errors.Is/As pattern. Built on the Uber Go Style Guide and Effective Go, it teaches AI agents to write production-quality Go error handling code.
A Go programming skill for proper interface design, part of a curated collection built on the Uber Go Style Guide and Effective Go, teaching agents idiomatic patterns like consumer-side interfaces, error wrapping, and table-driven tests.
Go-specific agent skills built on the Uber Go Style Guide and Effective Go, teaching AI agents idiomatic error handling, consumer-side interfaces, table-driven tests, and other Go best practices for production code.
An AI agent skill focused on Go test quality, including table-driven tests, test helpers, coverage analysis, and test organization. Part of a curated Go skills collection built on the Uber Go Style Guide and Effective Go.
A Go agent skill for auditing module dependencies, running govulncheck for vulnerability detection, evaluating dependency quality, and reviewing go.mod hygiene based on the Uber Go Style Guide and Effective Go.
A Go skill that provides in-depth guidance on table-driven tests, covering when to use them, test struct design, and refactoring strategies based on the Uber Go Style Guide and production best practices.
Part of a curated Go agent skills collection that teaches AI coding agents idiomatic Go practices based on the Uber Go Style Guide and Effective Go, covering code quality, architecture, database patterns, testing, and performance optimization.
Curated AI agent skills for Go projects built on the Uber Go Style Guide. Compatible with Claude Code, Cursor, Codex, GitHub Copilot, Windsurf, OpenCode, and 37+ more agents through the Agent Skills ecosystem.
A set of curated AI agent skills for Go projects, based on the Uber Go Style Guide and Effective Go. Teaches agents idiomatic Go patterns including proper error wrapping, consumer-side interfaces, table-driven tests, and goroutine management.
A curated set of AI agent skills for Go projects built on the Uber Go Style Guide and Effective Go, teaching agents idiomatic Go patterns including proper error wrapping, consumer-side interfaces, table-driven tests, and context propagation.
Curated AI agent skills for Go projects, built on the Uber Go Style Guide and Effective Go, teaching agents idiomatic Go patterns like proper error wrapping, consumer-side interfaces, and table-driven tests.
A Go development skill covering database access patterns including connection pools, transactions, sqlc code generation, migrations, and the repository pattern for clean data layer architecture.