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AI Software Testing & Automation Architect
Architects maintainable, multi-layer automated test suites to catch regressions and stabilize CI pipelines.
$39.99
AI Software Testing & Automation Architect
Example session with this skill installed
Review our new user registration flow in src/auth/ and design a test suite using Vitest and Playwright. We need to handle duplicate emails and successful signups.
- Read your context and instructions
- Compiled the ai software testing
I have reviewed the src/auth/ directory. The registration flow involves a Zod schema for validation, a PostgreSQL unique constraint on emails, and a Welcome Email dispatch via a background queue.
1. Project and Feature Context
- Stack: Node.js, Vitest (Unit/Integration), Playwright (E2E), Prisma ORM.
- Scope: User registration endpoint and UI flow.
- Requirements: Validate input, prevent duplicate signups, ensure database persistence, and trigger onboarding.
2. Risk Assessment
| Area | Risk | Reason | Test priority |
|---|---|---|---|
| Email Unique | Data Corruption | Duplicate accounts break profile logic | High |
| Input Validation | Security/UX | Malicious payloads or poor UX on errors | Medium |
| Queue Dispatch | Process Failure | User registered but no welcome email | Low |
3. Test Strategy
- Unit: Zod schema validation and password hashing logic.
- Integration: API endpoint testing with a disposable Prisma test database.
- E2E: Happy path signup journey in Playwright to verify UI feedback.
4. Test Case Matrix
| ID | Requirement | Layer | Scenario | Expected result | Priority |
|---|---|---|---|---|---|
| TC-01 | Unique Email | Integration | Submit email already in DB | 409 Conflict + Error Msg | High |
| TC-02 | Valid Input | Unit | Submit invalid email format | Schema validation fails | Medium |
| TC-03 | Success Path | E2E | Complete form and submit | Redirect to /dashboard | High |
5. Test Code and Fixtures
// src/auth/registration.integration.test.ts
import { describe, it, expect, beforeEach } from 'vitest';
import { signupHandler } from './handler';
import { prisma } from '../lib/db';
describe('User Registration Integration', () => {
beforeEach(async () => {
await prisma.user.deleteMany();
});
it('should return 409 when email is already taken', async () => {
await prisma.user.create({ data: { email: 'test@example.com', hash: '...' } });
const req = { body: { email: 'test@example.com', password: 'Password123!' } };
const res = await signupHandler(req);
expect(res.status).toBe(409);
expect(res.data.message).toMatch(/already exists/i);
});
});
6. CI Integration
- Step:
npm run test:uniton every PR push. - Step:
npm run test:integrationinside a Docker container with a temporary Postgres instance. - Step:
npx playwright testas a final gate before merging to main.
Next steps
- Implement the Vitest integration setup for the test database.
- Add Playwright locators to the registration form components.
- Configure GitHub Actions to spin up the Postgres service for integration runs.
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About this skill
Fragmented test suites and flaky CI pipelines stall deployments. You need a strategy that catches regressions without ballooning maintenance costs. This skill acts as a senior test architect to design maintainable automation across unit, integration, API, and E2E layers.
It analyzes your repository structure, requirements, and existing code to build a risk-ranked testing portfolio. It moves beyond simple line coverage by focusing on observable behavior and meaningful contracts. Whether you are using Playwright for E2E or Vitest for unit tests, it adapts to your specific stack and conventions.
What it does
- Risk Assessment builds a prioritized inventory of critical user journeys and data integrity risks.
- Test Strategy Design defines the optimal distribution of tests across the pyramid layers.
- Test Case Generation derives positive, negative, and edge-case scenarios from requirements.
- Maintainable Implementation writes framework-aligned test code, fixtures, and factories.
- CI Pipeline Integration configures stages, triggers, and artifact retention for pull requests.
- Flakiness Control identifies race conditions and shared state dependencies to ensure stability.
How it works
- Analyze Environment by inspecting your stack, schemas, and current CI workflow.
- Map Requirements to specific risks and architectural boundaries.
- Execute Strategy by generating a test matrix and corresponding implementation code.
- Optimize Pipeline with specific commands for execution, parallelization, and cleanup.
Frameworks & tools
Works with any major testing ecosystem including Jest, Vitest, Playwright, Cypress, Pytest, JUnit, and Testcontainers. It integrates with standard CI providers and uses existing package scripts.
Why this beats prompting it yourself
Generic prompts often result in brittle E2E tests for logic that belongs in unit tests. This skill enforces strict testing principles like isolated state and deterministic clocks, preventing the "flaky test" technical debt that usually accumulates with AI-generated suites.
Use cases
- Architecting a test suite for a new microservice from scratch.
- Refactoring a slow, flaky E2E suite into faster integration and unit tests.
- Generating regression tests for complex business rules and edge cases.
- Designing CI/CD gates that protect against data corruption and permission leaks.
Known limitations
Does not execute tests in a real browser or live environment. Cannot fix infrastructure-level network instability. Requires provided context for proprietary internal API schemas.
Does not execute tests in live environments. Requires provided source code or schemas for accurate implementation. Cannot resolve underlying infrastructure-level network instability.
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- 1
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- 2
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- 3
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