golang-testing

Generate Go testing patterns for unit tests, benchmarks, fuzzing, and CI coverage.

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/riftzen-bit/gemini-setup --skill golang-testing-riftzen-bit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golang-testing
Source: https://github.com/riftzen-bit/gemini-setup/tree/main/skills/golang-testing
Command: npx skills add https://github.com/riftzen-bit/gemini-setup --skill golang-testing-riftzen-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Many Go projects suffer from brittle tests, low coverage, and inconsistent testing patterns that make maintenance and reliable refactoring difficult; this Skill provides clear, repeatable testing patterns and workflows to make tests dependable and maintainable.

Core Features & Use Cases

  • Table-driven tests: Structured test cases for broad input coverage with minimal boilerplate.
  • TDD workflow: RED-GREEN-REFACTOR guidance for writing tests first and iterating safely.
  • Benchmarks & fuzzing: Patterns for performance measurement and property-based input fuzzing on Go 1.18+.
  • Subtests, helpers, mocking, and golden files: Techniques for organizing related tests, simplifying setup/teardown, isolating dependencies with interfaces, and validating complex outputs.
  • CI integration & coverage: Recommendations for coverage targets, profiles, and GitHub Actions integration to enforce quality gates.

Quick Start

Write a failing test for your Go function, run go test to observe the failure, implement the minimal code to pass, and iterate using the RED-GREEN-REFACTOR cycle.

Frequently Asked Questions about golang-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write table-driven tests in Go for broad input coverage?

TDD workflow in Go follows the RED-GREEN-REFACTOR cycle: write a failing test first, run go test to observe the failure, implement minimal code to pass, and then refactor safely. This approach ensures reliable, maintainable tests and dependable code iteration.

Does Go 1.18 support fuzzing for property-based input testing?

Go 1.18+ supports native fuzzing for property-based input testing. You can implement fuzzing patterns alongside benchmarks to measure performance and automatically generate random inputs to discover edge cases and unexpected panics in your Go functions.

What is the best way to mock dependencies when testing Go HTTP handlers?

The best way to mock dependencies when testing Go HTTP handlers is by isolating them with interfaces. Define interfaces for your dependencies, create mock implementations in your test files, and use subtests to organize related HTTP handler test cases systematically.

How do I enforce test coverage targets in CI with GitHub Actions for a Go project?

To enforce test coverage targets in CI with GitHub Actions for a Go project, configure coverage profiling outputs and set quality gates. Use go test with coverage flags to generate profiles, then integrate the coverage report into your GitHub Actions workflow to enforce minimum thresholds.

When should I use golden file comparisons in Go testing?

Use golden file comparisons in Go testing when validating complex outputs that are too verbose for standard assertions. You write the actual output to a golden file on the first run, then subsequent test runs compare new outputs against this file to detect unexpected changes.