go-testing

Featured

Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.

Testing & QA 6,637 stars 740 forks Updated today MIT

Install

View on GitHub

Quality Score: 90/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
99
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

## Activation Contract Load this skill when writing or reviewing Go tests, adding coverage, testing Bubbletea/TUI flows, using `teatest`, or updating golden files. ## Hard Rules - Prefer table-driven tests for multiple cases; use `t.Run(tt.name, ...)`. - Test behavior and state transitions, not implementation trivia. - Use `t.TempDir()` for filesystem tests; never rely on a real home directory. - Keep integration tests skippable with `testing.Short()` when they run external commands or slow flows. - For Bubbletea, test `Model.Update()` directly for state changes; use `teatest` only for interactive flows. - Golden files must be deterministic; update only through the repo's `-update` path and rerun tests without `-update`. - Use small mocks/interfaces around system or command execution boundaries. ## Decision Gates | Target | Test pattern | |---|---| | Pure function or parser | Table-driven unit test. | | Error behavior | Explicit success and failure cases. | | File operations | `t.TempDir()` plus focused assertions. | | TUI state transition | Direct `Model.Update()` call with `tea.Msg`. | | Full TUI interaction | `teatest.NewTestModel()`. | | Rendered output | Golden file test. | | Real external command | Integration test; skip in `-short`. | ## Execution Steps 1. Identify behavior under test and the smallest public boundary that proves it. 2. Choose the test pattern from the decision gate. 3. Name cases by scenario, not input mechanics. 4. Assert outputs, errors, state...

Details

Author
Gentleman-Programming
Repository
Gentleman-Programming/gentle-ai
Created
6 months ago
Last Updated
today
Language
Go
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category