modules/programs/agents/shared/_archive/init-bun-test/SKILL.md
Set up bun test in a project (with Effect support if applicable)
npx skillsauth add MichaelVessia/nixos-config init-bun-testInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Set up bun test for this project.
Detect if Effect project:
effect dependencyCreate bunfig.toml:
Standard project:
[test]
root = "./src"
testMatch = ["**/*.test.ts"]
Effect project:
[test]
root = "./src"
testMatch = ["**/*.test.ts"]
Install test dependencies:
Standard project:
bun add -D @types/bun
Effect project:
bun add -D @types/bun @codeforbreakfast/bun-test-effect
Add scripts to package.json:
"test": "bun test",
"test:watch": "bun test --watch"
Create example test file (if no tests exist):
Standard (src/example.test.ts):
import { describe, expect, it } from 'bun:test'
describe('example', () => {
it('works', () => {
expect(1 + 1).toBe(2)
})
})
Effect (src/example.test.ts):
import { describe, expect, it } from '@codeforbreakfast/bun-test-effect'
import { Effect } from 'effect'
describe('example', () => {
it('works', () => {
expect(1 + 1).toBe(2)
})
it.effect('works with Effect', () =>
Effect.gen(function* () {
const result = yield* Effect.succeed(42)
expect(result).toBe(42)
})
)
})
Run tests to verify setup:
bun test
Ask before creating example test file if tests already exist.
development
Generate self-contained HTML visualizations with Plannotator theming. Use for implementation plans, PR explainers, architecture diagrams, data tables, slide decks, and any visual explanation of technical concepts. Plans and PR explainers follow Plannotator's prescriptive approach; all other visual content delegates to nicobailon/visual-explainer.
development
Turn an idea or objective into a goal package for /goal. Interviews the user, builds a reviewed fact sheet via Plannotator, then explores the codebase to produce an execution plan.
development
Open Plannotator's browser-based code review UI for the current worktree or a pull request URL, then act on the feedback that comes back.
testing
Open Plannotator on the latest rendered assistant message and use the returned annotations to revise that message or continue.