test-automation-strategy▌
proffesor-for-testing/agentic-qe · updated Apr 8, 2026
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<default_to_action>
- ›When designing or improving test automation:
Test Automation Strategy
<default_to_action> When designing or improving test automation:
- DETECT anti-patterns: Ice cream cone? Slow suite? Flaky tests?
- USE patterns: Page Object Model, Builder pattern, Factory pattern
- INTEGRATE in CI/CD: Every commit runs tests, fail fast
- MANAGE flaky tests: Quarantine, fix, or delete - never ignore
Quick Anti-Pattern Detection:
- Ice cream cone (many E2E, few unit) → Invert to pyramid
- Slow tests (> 10 min suite) → Parallelize, mock external deps
- Flaky tests → Fix timing, isolate data, or quarantine
- Brittle selectors → Use data-testid, semantic locators </default_to_action>
Quick Reference Card
When to Use
- Building new automation framework
- Improving existing test efficiency
- Reducing flaky test burden
- Optimizing CI/CD pipeline speed
Anti-Patterns to Detect
| 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 |
CI/CD Integration
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
Flaky Test Management
// 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");
Agent-Assisted Automation
// 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");
Agent Coordination Hints
Memory Namespace
aqe/automation/
├── test-pyramid/* - Coverage by layer
├── page-objects/* - Shared page objects
├── flaky-registry/* - Quarantined tests
└── execution-metrics/* - Suite performance data
Fleet Coordination
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'
});
Related Skills
- tdd-london-chicago - TDD for unit tests
- api-testing-patterns - Integration patterns
- cicd-pipeline-qe-orchestrator - Pipeline integration
- shift-left-testing - Early automation
Remember
With Agents: Agents generate pyramid-compliant tests, detect flaky patterns, optimize execution time, and maintain test infrastructure. Use agents to scale automation quality.
Gotchas
- Agent generates 80% E2E tests and 20% unit tests (inverted pyramid) — explicitly enforce 70/20/10 ratio
- Page Object Model tests become brittle when selectors change — prefer data-testid attributes over CSS selectors
- Flaky tests quarantined but never fixed is technical debt — set a 2-week SLA to fix or delete
- Agent treats test code as second-class — test code needs the same review standards as production code
- Parallel test execution requires test isolation — shared state between tests causes non-deterministic failures
How to use test-automation-strategy 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 test-automation-strategy
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches test-automation-strategy from GitHub repository proffesor-for-testing/agentic-qe 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 test-automation-strategy. Access the skill through slash commands (e.g., /test-automation-strategy) 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▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★36 reviews- ★★★★★Zaid Malhotra· Dec 24, 2024
Keeps context tight: test-automation-strategy is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ishan Haddad· Dec 16, 2024
I recommend test-automation-strategy for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Dhruvi Jain· Dec 12, 2024
test-automation-strategy is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ira Verma· Dec 12, 2024
We added test-automation-strategy from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Daniel Kapoor· Dec 8, 2024
test-automation-strategy reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Amelia Li· Nov 27, 2024
Registry listing for test-automation-strategy matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Zaid Kapoor· Nov 15, 2024
test-automation-strategy has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Oshnikdeep· Nov 3, 2024
Useful defaults in test-automation-strategy — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ira Abbas· Nov 3, 2024
test-automation-strategy fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ganesh Mohane· Oct 22, 2024
Registry listing for test-automation-strategy matched our evaluation — installs cleanly and behaves as described in the markdown.
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