Strict TDD workflow: tests first, then implementation.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontddExecute the skills CLI command in your project's root directory to begin installation:
Fetches tdd from parcadei/continuous-claude-v3 and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate tdd. Access via /tdd in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Strict TDD workflow: tests first, then implementation.
Write the test first. Watch it fail. Write minimal code to pass.
Core principle: If you didn't watch the test fail, you don't know if it tests the right thing.
Violating the letter of the rules is violating the spirit of the rules.
NO PRODUCTION CODE WITHOUT A FAILING TEST FIRST
Write code before the test? Delete it. Start over.
No exceptions:
Implement fresh from tests. Period.
Write one minimal test showing what should happen.
Good:
test('retries failed operations 3 times', async () => {
let attempts = 0;
const operation = () => {
attempts++;
if (attempts < 3) throw new Error('fail');
return 'success';
};
const result = await retryOperation(operation);
expect(result).toBe('success');
expect(attempts).toBe(3);
});
Clear name, tests real behavior, one thing.
Bad:
test('retry works', async () => {
const mock = jest.fn()
.mockRejectedValueOnce(new Error())
.mockResolvedValueOnce('success');
await retryOperation(mock);
expect(mock).toHaveBeenCalledTimes(3);
});
Vague name, tests mock not code.
Requirements:
MANDATORY. Never skip.
npm test path/to/test.test.ts
# or
pytest path/to/test_file.py
Confirm:
Test passes? You're testing existing behavior. Fix test. Test errors? Fix error, re-run until it fails correctly.
Write simplest code to pass the test.
Good:
async function retryOperation<T>(fn: () => Promise<T>): Promise<T> {
for (let i = 0; i < 3; i++) {
try {
return await fn();
} catch (e) {
if (i === 2) throw e;
}
}
throw new Error('unreachable');
}
Just enough to pass.
Bad:
async function retryOperation<T>(
fn: () => Promise<T>,
options?: {
maxRetries?: number;
backoff?: 'linear' | 'exponential';
onRetry?: (attempt: number) => void;
}
): Promise<T> {
// YAGNI - over-engineered
}
Don't add features, refactor other code, or "improve" beyond the test.
MANDATORY.
npm test path/to/test.test.ts
Confirm:
Test fails? Fix code, not test. Other tests fail? Fix now.
After green only:
Keep tests green. Don't add behavior.
| Excuse | Reality |
|---|---|
| "Too simple to test" | Simple code breaks. Test takes 30 seconds. |
| "I'll test after" | Tests passing immediately prove nothing. |
| "Tests after achieve same goals" | Tests-after = "what does this do?" Tests-first = "what should this do?" |
| "Already manually tested" | Ad-hoc ≠ systematic. No record, can't re-run. |
| "Deleting X hours is wasteful" | Sunk cost fallacy. Keeping unverified code is technical debt. |
| "Keep as reference, write tests first" | You'll adapt it. That's testing after. Delete means delete. |
| "Need to explore first" | Fine. Throw away exploration, start with TDD. |
| "Test hard = design unclear" | Listen to test. Hard to test = hard to use. |
| "TDD will slow me down" | TDD faster than debugging. Pragmatic = test-first. |
| "Manual test faster" | Manual doesn't prove edge cases. You'll re-test every change. |
All of these mean: Delete code. Start over with TDD.
Before marking work complete:
Can't check all boxes? You skipped TDD. Start over.
| Problem | Solution |
|---|---|
| Don't know how to test | Write wished-for API. Write assertion first. Ask your human partner. |
| Test too complicated | Design too complicated. Simplify interface. |
| Must mock everything | Code too coupled. Use dependency injection. |
| Test setup huge | Extract helpers. Still complex? Simplify design. |
┌────────────┐ ┌──────────┐ ┌──────────┐ ┌───────────┐
│ plan- │───▶│ arbiter │───▶│ kraken │───▶│ arbiter │
│ agent │ │ │ │ │ │ │
└────────────┘ └──────────┘ └──────────┘ └───────────┘
Design Write Implement Verify
approach failing minimal all tests
tests code pass
| # | Agent | Role | Output |
|---|---|---|---|
| 1 | plan-agent | Design test cases and implementation approach | Test plan |
| 2 | arbiter | Write failing tests (RED phase) | Test files |
| 3 | kraken | Implement minimal code to pass (GREEN phase) | Implementation |
| 4 | arbiter | Run all tests, verify nothing broken | Test report |
NO PRODUCTION CODE WITHOUT A FAILING TEST FIRST
Each agent follows the TDD contract:
Task(
subagent_type="plan-agent",
prompt="""
Design TDD approach for: [FEATURE_NAME]
Define:
1. What behaviors need to be tested
2. Edge cases to cover
3. Expected test structure
DO NOT write any implementation code.
Output: Test plan document
"""
)
Task(
subagent_type="arbiter",
prompt="""
Write failing tests for: [FEATURE_NAME]
Test plan: [from phase 1]
Requirements:
- Write tests FIRST
- Run tests to confirm they FAIL
- Tests must fail because feature is missing (not syntax errors)
- Create clear test names describing expected behavior
DO NOT write any implementation code.
"""
)
Task(
subagent_type="kraken",
prompt="""
Implement MINIMAL code to pass tests: [FEATURE_NAME]
Tests location: [test file path]
Requirements:
- Write ONLY enough code to make tests pass
- No additional features beyond what tests require
- No "improvements" or "enhancements"
- Run tests after each change
Follow Red-Green-Refactor strictly.
"""
)
Task(
subagent_type="arbiter",
prompt="""
Validate TDD implementation: [FEATURE_NAME]
- Run full test suite
- Verify all new tests pass
- Verify no existing tests broke
- Check test coverage if available
"""
)
User: /tdd Add email validation to the signup form
Claude: Starting /tdd workflow for email validation...
Phase 1: Planning test cases...
[Spawns plan-agent]
Test plan:
- Valid email formats
- Invalid email formats
- EmptMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
parcadei/continuous-claude-v3
mattpocock/skills
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Useful defaults in tdd — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for tdd matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: tdd is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added tdd from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in tdd — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend tdd for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
tdd is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: tdd is focused, and the summary matches what you get after install.
tdd reduced setup friction for our internal harness; good balance of opinion and flexibility.
tdd has been reliable in day-to-day use. Documentation quality is above average for community skills.
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