tdd-workflows-tdd-red▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
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Write comprehensive failing tests following TDD red phase principles.
Write comprehensive failing tests following TDD red phase principles.
[Extended thinking: Generates failing tests that properly define expected behavior using test-automator agent.]
Use this skill when
- Starting the TDD red phase for new behavior
- You need failing tests that capture expected behavior
- You want edge case coverage before implementation
Do not use this skill when
- You are in the green or refactor phase
- You only need performance benchmarks
- Tests must run against production systems
Instructions
- Identify behaviors, constraints, and edge cases.
- Generate failing tests that define expected outcomes.
- Ensure failures are due to missing behavior, not setup errors.
- Document how to run tests and verify failures.
Safety
- Keep test data isolated and avoid production environments.
- Avoid flaky external dependencies in the red phase.
Role
Generate failing tests using Task tool with subagent_type="unit-testing::test-automator".
Prompt Template
"Generate comprehensive FAILING tests for: $ARGUMENTS
Core Requirements
-
Test Structure
- Framework-appropriate setup (Jest/pytest/JUnit/Go/RSpec)
- Arrange-Act-Assert pattern
- should_X_when_Y naming convention
- Isolated fixtures with no interdependencies
-
Behavior Coverage
- Happy path scenarios
- Edge cases (empty, null, boundary values)
- Error handling and exceptions
- Concurrent access (if applicable)
-
Failure Verification
- Tests MUST fail when run
- Failures for RIGHT reasons (not syntax/import errors)
- Meaningful diagnostic error messages
- No cascading failures
-
Test Categories
- Unit: Isolated component behavior
- Integration: Component interaction
- Contract: API/interface contracts
- Property: Mathematical invariants
Framework Patterns
JavaScript/TypeScript (Jest/Vitest)
- Mock dependencies with
vi.fn()orjest.fn() - Use
@testing-libraryfor React components - Property tests with
fast-check
Python (pytest)
- Fixtures with appropriate scopes
- Parametrize for multiple test cases
- Hypothesis for property-based tests
Go
- Table-driven tests with subtests
t.Parallel()for parallel execution- Use
testify/assertfor cleaner assertions
Ruby (RSpec)
letfor lazy loading,let!for eager- Contexts for different scenarios
- Shared examples for common behavior
Quality Checklist
- Readable test names documenting intent
- One behavior per test
- No implementation leakage
- Meaningful test data (not 'foo'/'bar')
- Tests serve as living documentation
Anti-Patterns to Avoid
- Tests passing immediately
- Testing implementation vs behavior
- Complex setup code
- Multiple responsibilities per test
- Brittle tests tied to specifics
Edge Case Categories
- Null/Empty: undefined, null, empty string/array/object
- Boundaries: min/max values, single element, capacity limits
- Special Cases: Unicode, whitespace, special characters
- State: Invalid transitions, concurrent modifications
- Errors: Network failures, timeouts, permissions
Output Requirements
- Complete test files with imports
- Documentation of test purpose
- Commands to run and verify failures
- Metrics: test count, coverage areas
- Next steps for green phase"
Validation
After generation:
- Run tests - confirm they fail
- Verify helpful failure messages
- Check test independence
- Ensure comprehensive coverage
Example (Minimal)
// auth.service.test.ts
describe('AuthService', () => {
let authService: AuthService;
let mockUserRepo: jest.Mocked<UserRepository>;
beforeEach(() => {
mockUserRepo = { findByEmail: jest.fn() } as any;
authService = new AuthService(mockUserRepo);
});
it('should_return_token_when_valid_credentials', async () => {
const user = { id: '1', email: '[email protected]', passwordHash: 'hashed' };
mockUserRepo.findByEmail.mockResolvedValue(user);
const result = await authService.authenticate('[email protected]', 'pass');
expect(result.success).toBe(true);
expect(result.token).toBeDefined();
});
it('should_fail_when_user_not_found', async () => {
mockUserRepo.findByEmail.mockResolvedValue(null);
const result = await authService.authenticate('[email protected]', 'pass');
expect(result.success).toBe(false);
expect(result.error).toBe('INVALID_CREDENTIALS');
});
});
Test requirements: $ARGUMENTS
How to use tdd-workflows-tdd-red 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 tdd-workflows-tdd-red
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches tdd-workflows-tdd-red from GitHub repository sickn33/antigravity-awesome-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 tdd-workflows-tdd-red. Access the skill through slash commands (e.g., /tdd-workflows-tdd-red) 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▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★28 reviews- ★★★★★Isabella Gonzalez· Dec 24, 2024
tdd-workflows-tdd-red fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Dec 16, 2024
We added tdd-workflows-tdd-red from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Advait Li· Dec 8, 2024
Registry listing for tdd-workflows-tdd-red matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Evelyn Anderson· Nov 27, 2024
Solid pick for teams standardizing on skills: tdd-workflows-tdd-red is focused, and the summary matches what you get after install.
- ★★★★★Sakshi Patil· Nov 7, 2024
tdd-workflows-tdd-red reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chaitanya Patil· Oct 22, 2024
tdd-workflows-tdd-red is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Valentina White· Oct 18, 2024
I recommend tdd-workflows-tdd-red for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Aditi Lopez· Sep 9, 2024
Keeps context tight: tdd-workflows-tdd-red is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Fatima Martin· Sep 1, 2024
Registry listing for tdd-workflows-tdd-red matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Aditi Haddad· Aug 28, 2024
We added tdd-workflows-tdd-red from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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