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    AI Software Testing & Automation Architect

    1

    Architects maintainable, multi-layer automated test suites to catch regressions and stabilize CI pipelines.

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    AI Software Testing & Automation Architect

    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

    AreaRiskReasonTest priority
    Email UniqueData CorruptionDuplicate accounts break profile logicHigh
    Input ValidationSecurity/UXMalicious payloads or poor UX on errorsMedium
    Queue DispatchProcess FailureUser registered but no welcome emailLow

    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

    IDRequirementLayerScenarioExpected resultPriority
    TC-01Unique EmailIntegrationSubmit email already in DB409 Conflict + Error MsgHigh
    TC-02Valid InputUnitSubmit invalid email formatSchema validation failsMedium
    TC-03Success PathE2EComplete form and submitRedirect to /dashboardHigh

    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:unit on every PR push.
    • Step: npm run test:integration inside a Docker container with a temporary Postgres instance.
    • Step: npx playwright test as 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

    1. Analyze Environment by inspecting your stack, schemas, and current CI workflow.
    2. Map Requirements to specific risks and architectural boundaries.
    3. Execute Strategy by generating a test matrix and corresponding implementation code.
    4. 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.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

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    3. 3

      Ask for what you need

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    What's inside

    Frequently Asked Questions

    This skill functions as a senior architect that analyzes your codebase and requirements to design a balanced, multi-layer testing strategy, preventing the common pitfall of over-relying on brittle, high-maintenance E2E tests.

    It is designed to be framework-agnostic and integrates seamlessly with popular tools like Playwright, Cypress, Jest, Pytest, and JUnit, adapting its output to your specific repository structure and conventions.

    No, this skill focuses on the architectural design and code generation of the test suite; it does not execute the tests or provide a live runtime environment for browser automation.

    The skill analyzes your specific data schemas and architectural boundaries to identify race conditions and shared state dependencies, implementing isolated fixtures and deterministic clocks to ensure test stability.

    You receive the full agent logic for risk assessment, test strategy mapping, and automated code generation, along with documentation on how to integrate it into your existing development workflow.

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