Can I use this for performance profiling?

Absolutely. The skill includes patterns for basic benchmarks, variable-size input testing, and memory allocation tracking using the testing/B package.

Does this skill support table-driven tests?

Yes, it follows the idiomatic Go pattern of using table-driven tests to handle multiple test cases with minimal code duplication.

Does it support the Go 1.18+ fuzzing features?

Yes, it provides implementation patterns for Go's native fuzzing capabilities to help you find edge-case bugs and security vulnerabilities.

How does it handle external dependencies like databases or APIs?

It utilizes interface-based mocking and the httptest package to create isolated unit tests without requiring live external services.

Is it compatible with TDD workflows?

Yes, the skill is designed to guide you through the Red-Green-Refactor cycle, ensuring code is verified against requirements from the start.

Go Testing & TDD Master

Name: Go Testing & TDD Master
Author: Infopibe

byInfopibe

•

Security & Testing

Implements idiomatic Go testing patterns and TDD workflows to ensure reliable, high-performance, and well-covered codebases.

This skill equips Claude with the expertise to write professional Go tests using industry-standard patterns like table-driven tests, subtests, and mocks. It facilitates a robust Test-Driven Development (TDD) cycle, enables advanced performance profiling through benchmarks, and leverages modern Go features like fuzzing for security and edge-case detection. Whether you are building a simple utility or a complex microservice, this skill ensures your Go code is resilient, maintainable, and fully validated according to idiomatic Go practices.

Key Features

01Comprehensive TDD workflow implementation including Red-Green-Refactor cycles

02Advanced performance benchmarking and memory allocation analysis

03Standardized table-driven test generation for high coverage and minimal boilerplate

04Security-focused fuzzing templates for robust input validation

05Mocking strategies using interfaces and httptest for clean unit isolation

061 GitHub stars

Use Cases

01Refactoring legacy Go code with a test-first approach to ensure system stability

02Identifying and optimizing performance bottlenecks in critical logic using Go benchmarks

03Writing comprehensive test suites for new Go microservices or libraries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add infopibe/everything-claude-code golang-testing

For use in Claude.ai and ChatGPT

Key Features

01Comprehensive TDD workflow implementation including Red-Green-Refactor cycles

02Advanced performance benchmarking and memory allocation analysis

03Standardized table-driven test generation for high coverage and minimal boilerplate

04Security-focused fuzzing templates for robust input validation

05Mocking strategies using interfaces and httptest for clean unit isolation

061 GitHub stars

Use Cases

01Refactoring legacy Go code with a test-first approach to ensure system stability

02Identifying and optimizing performance bottlenecks in critical logic using Go benchmarks

03Writing comprehensive test suites for new Go microservices or libraries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add infopibe/everything-claude-code golang-testing

For use in Claude.ai and ChatGPT