<default_to_action>
Works with
When designing or improving test automation:
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontest-automation-strategyExecute the skills CLI command in your project's root directory to begin installation:
Fetches test-automation-strategy from proffesor-for-testing/agentic-qe 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 test-automation-strategy. Access via /test-automation-strategy 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.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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<default_to_action> When designing or improving test automation:
Quick Anti-Pattern Detection:
| Problem | Symptom | Fix |
|---|---|---|
| Ice cream cone | 80% E2E, 10% unit | Invert pyramid |
| Slow suite | 30+ min CI | Parallelize, prune |
| Flaky tests | Random failures | Quarantine, fix timing |
| Coupled tests | Order-dependent | Isolate data |
| Brittle selectors | Break on CSS change | Use data-testid |
name: Test Pipeline
on: [push, pull_request]
jobs:
unit-tests:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- run: npm ci
- run: npm run test:unit -- --coverage
timeout-minutes: 5
- uses: codecov/codecov-action@v3
integration-tests:
needs: unit-tests
runs-on: ubuntu-latest
services:
postgres:
image: postgres:15
steps:
- run: npm run test:integration
timeout-minutes: 10
e2e-tests:
needs: integration-tests
runs-on: ubuntu-latest
steps:
- run: npx playwright test
timeout-minutes: 15
// Quarantine flaky tests
describe.skip('Quarantined - INC-123', () => {
test('flaky test awaiting fix', () => { /* ... */ });
});
// Agent-assisted stabilization
await Task("Fix Flaky Tests", {
tests: quarantinedTests,
analysis: ['timing-issues', 'data-isolation', 'race-conditions'],
strategies: ['add-waits', 'isolate-fixtures', 'mock-externals']
}, "qe-flaky-test-hunter");
// Generate tests following pyramid
await Task("Generate Test Suite", {
sourceCode: 'src/',
pyramid: { unit: 70, integration: 20, e2e: 10 },
patterns: ['page-object', 'builder', 'factory'],
framework: 'jest'
}, "qe-test-generator");
// Optimize test execution
await Task("Optimize Suite", {
algorithm: 'johnson-lindenstrauss',
targetReduction: 0.3,
maintainCoverage: 0.95
}, "qe-regression-risk-analyzer");
// Analyze flaky patterns
await Task("Flaky Analysis", {
testHistory: 'last-30-days',
detectPatterns: ['timing', 'data', 'environment'],
recommend: 'stabilization-strategy'
}, "qe-flaky-test-hunter");
aqe/automation/
├── test-pyramid/* - Coverage by layer
├── page-objects/* - Shared page objects
├── flaky-registry/* - Quarantined tests
└── execution-metrics/* - Suite performance data
const automationFleet = await FleetManager.coordinate({
strategy: 'test-automation',
agents: [
'qe-test-generator', // Generate pyramid-compliant tests
'qe-test-executor', // Parallel execution
'qe-coverage-analyzer', // Coverage gaps
'qe-flaky-test-hunter', // Flaky detection
'qe-regression-risk-analyzer' // Smart selection
],
topology: 'hierarchical'
});
With Agents: Agents generate pyramid-compliant tests, detect flaky patterns, optimize execution time, and maintain test infrastructure. Use agents to scale automation quality.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
cexll/myclaude
github/awesome-copilot
github/awesome-copilot
BuilderIO/skills
kunchenguid/no-mistakes
mattpocock/skills
Keeps context tight: test-automation-strategy is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend test-automation-strategy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
test-automation-strategy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added test-automation-strategy from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
test-automation-strategy reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for test-automation-strategy matched our evaluation — installs cleanly and behaves as described in the markdown.
test-automation-strategy has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in test-automation-strategy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
test-automation-strategy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for test-automation-strategy matched our evaluation — installs cleanly and behaves as described in the markdown.
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