rails-testing▌
marckohlbrugge/37signals-skills · updated Jun 11, 2026
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Apply Rails testing standards with Minitest, fixtures, and pragmatic coverage boundaries. Use when creating tests, reviewing test quality, or improving flaky and slow Rails test suites.
| name | rails-testing |
| description | Apply Rails testing standards with Minitest, fixtures, and pragmatic coverage boundaries. Use when creating tests, reviewing test quality, or improving flaky and slow Rails test suites. |
| disable-model-invocation | true |
Rails Testing
Use for test-writing and test-review tasks. Patterns from Campfire and Fizzy test suites.
Defaults
- Minitest + fixtures. No RSpec, no FactoryBot.
- Test behavior, not implementation details.
- Keep tests deterministic and fast;
parallelize(workers: :number_of_processors). - Tests ship in the same commit/PR as the feature — not before, not later. Security fixes always include a regression test.
- Never add production complexity for testability (no test-induced design damage).
Coverage Budget (where 37signals actually spends)
- Heavy: model tests (domain invariants, concerns) and controller/integration tests (full request cycle, auth, formats).
- Light: a few system tests for the critical happy paths (one smoke test can cover signup→use); job tests only for jobs with real logic.
- None: view tests, JS/Stimulus unit tests, exhaustive channel tests. UI behavior is covered indirectly by system tests.
- Don't duplicate the same behavior assertion at multiple layers.
Fixtures
- Express relationships by label, not ID; use ERB for relative timestamps (
created_at: <%= 1.hour.ago %>) and shared computed values (one bcrypt digest reused). - Mirror
app/modelsstructure intest/models:app/models/card/closeable.rb↔test/models/card/closeable_test.rb; shared concerns undertest/models/concerns/. - UUID PKs break fixture ordering: generate deterministic, label-derived UUIDv7s in fixtures so
.first/.lastare stable and runtime records are always newer. - Build rich-content fixtures with production code (
ActionText::Attachment.from_attachable(user).to_html), not hand-written markup.
Good Practices
- Use system/integration tests for user workflows; model tests for domain invariants.
travel_tofor time-based logic.- Mock/stub only at boundaries (external APIs, network, time,
SecureRandom); use VCR for external HTTP — auto-name cassettes from class+test name, normalize timestamps in matching. - Test async side effects from model tests with
perform_enqueued_jobs(only: SpecificJob)andassert_enqueued_with— not by unit-testing trivial job classes. - Correlated count changes in one assertion:
assert_difference({ -> { card.assignees.count } => -1, -> { Event.count } => +1 }). - Test both response formats where controllers serve them:
as: :turbo_stream(assert stream targets) andas: :json(status, Location header, body). - Turbo/broadcast assertions by layer:
assert_turbo_stream_broadcastsin model tests,assert_turbo_stream action:, target:in controller tests,assert_no_turbo_stream_broadcastsfor negatives. - Authorization tests assert the negative space: cross-tenant/role access returns 403/404, not just that allowed access works.
- Multi-tenant suites: set
Current.account(andCurrent.sessionwhen behavior depends on the actor) in setup; integration/system tests setdefault_url_options[:script_name]; provide anuntenanted { }helper for auth routes. ClearCurrentin teardown. - Test middleware in isolation with
Rack::MockRequest. - System tests:
using_session("Kevin")for multi-user scenarios; wait for cable connection before asserting realtime; auth via a fast session-transfer helper, keeping the full login flow to one smoke test. - Suites with non-transactional side effects (FTS tables) opt out per-helper:
self.use_transactional_tests = false+ explicit cleanup. - Reset shared global state per test in parallel suites (thread pools,
ActionCable.server.pubsub,Current).
Red Flags
- Adding production complexity only for testability.
- Over-mocking internal app code.
- Duplicate tests for the same behavior at multiple layers.
- Slow suites caused by unnecessary setup in each test (that's what fixtures are for).
- Unit tests for one-line job classes or trivial delegations.
- Hand-rolled HTML strings where production renderers/helpers would stay in sync automatically.
- Time-dependent assertions without
travel_to.
How to use rails-testing on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add rails-testing
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches rails-testing from GitHub repository marckohlbrugge/37signals-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate rails-testing. Access the skill through slash commands (e.g., /rails-testing) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★52 reviews- ★★★★★Yuki Iyer· Dec 28, 2024
Useful defaults in rails-testing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Layla Smith· Dec 24, 2024
Useful defaults in rails-testing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Zara Brown· Dec 20, 2024
We added rails-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Arya White· Dec 16, 2024
Keeps context tight: rails-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yuki Gupta· Dec 4, 2024
rails-testing has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Yuki Kim· Nov 27, 2024
I recommend rails-testing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Evelyn Sanchez· Nov 23, 2024
Solid pick for teams standardizing on skills: rails-testing is focused, and the summary matches what you get after install.
- ★★★★★Fatima Desai· Nov 23, 2024
Keeps context tight: rails-testing is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Zara Smith· Nov 19, 2024
We added rails-testing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Layla Abebe· Nov 11, 2024
Useful defaults in rails-testing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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