Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
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Orchestrate quality engineering across CI/CD pipeline phases. Use when designing test strategies, planning quality gates, or implementing shift-left/shift-right testing.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
<default_to_action> When orchestrating quality across CI/CD pipeline:
Quick Phase Selection:
Critical Success Factors:
| Phase | Primary Agents | Key Skills |
|---|---|---|
| Commit | qe-test-generator, qe-requirements-validator | tdd-london-chicago, shift-left |
| Build | qe-test-executor, qe-coverage-analyzer, qe-flaky-test-hunter | test-automation, mutation-testing |
| Test | qe-api-contract-validator, qe-performance-tester, qe-security-scanner | api-testing, performance, security |
| Staging | qe-chaos-engineer, qe-visual-tester, qe-deployment-readiness | chaos-engineering, accessibility |
| Prod | qe-production-intelligence, qe-quality-analyzer | shift-right, compliance |
| Phase | Metric | Threshold | Blocking |
|---|---|---|---|
| Commit | Unit coverage | > 80% | Yes |
| Build | All tests pass | 100% | Yes |
| Build | Mutation score | > 70% | No |
| Test | API contracts | No breaking changes | Yes |
| Test | p95 response | < 200ms | Yes |
| Test | Security critical | 0 | Yes |
| Staging | Deployment readiness | > 85% | Yes |
Goal: Catch defects early, ensure testability
Agents:
qe-test-generator - Generate unit testsqe-requirements-validator - BDD scenarios, INVEST criteriaSkills: shift-left-testing, tdd-london-chicago, code-review-quality
// Parallel execution
Task("Generate Tests", "Create unit tests for new methods", "qe-test-generator")
Task("Validate Requirements", "Check BDD scenarios", "qe-requirements-validator")
Gates: Unit coverage > 80%, Static analysis clean, Code review approved
Goal: Validate integration, ensure coverage
Agents:
qe-test-executor - Run test suitesqe-coverage-analyzer - Coverage gaps (O(log n))qe-flaky-test-hunter - Detect/stabilize flaky testsqe-regression-risk-analyzer - Minimal regression suiteSkills: test-automation-strategy, mutation-testing, regression-testing
Task("Execute Tests", "Run full suite, store in aqe/test-results/*", "qe-test-executor")
Task("Coverage Analysis", "Identify gaps", "qe-coverage-analyzer")
Task("Flaky Detection", "Analyze test history", "qe-flaky-test-hunter")
Gates: All tests pass, Coverage > 90% critical paths, No new flaky tests
Goal: Validate contracts, performance, security
Agents:
qe-api-contract-validator - Breaking changes detectionqe-performance-tester - Load test critical pathsqe-security-scanner - SAST/DAST scansqe-test-data-architect - Realistic test data (10k+/sec)Skills: api-testing-patterns, performance-testing, security-testing
// Parallel testing
Task("API Contracts", "Validate for breaking changes", "qe-api-contract-validator")
Task("Performance", "Load test 1000 users", "qe-performance-tester")
Task("Security", "SAST/DAST scan", "qe-security-scanner")
Gates: No breaking API changes, p95 < 200ms, No critical vulnerabilities
Goal: Validate production-like environment, resilience
Agents:
qe-chaos-engineer - Fault injectionqe-visual-tester - Visual regressionqe-deployment-readiness - Risk assessmentSkills: chaos-engineering-resilience, accessibility-testing, visual-testing
Task("Chaos Testing", "Controlled failure injection", "qe-chaos-engineer")
Task("Visual Testing", "Visual regression", "qe-visual-tester")
Task("Deployment Check", "Risk assessment", "qe-deployment-readiness")
Gates: Chaos tests pass, No visual regressions, Readiness > 85%
Goal: Monitor real usage, validate compliance
Agents:
qe-production-intelligence - Incident → test scenariosqe-quality-analyzer - Quality metrics and trendsSkills: shift-right-testing, compliance-testing
Task("Production Intelligence", "Convert incidents to tests", "qe-production-intelligence")
Task("Quality Analysis", "Production metrics", "qe-quality-analyzer")
Gates: Synthetic monitors pass, Error rate < 0.1%, Compliance validated
// Phase 1: Commit
Task("TDD Generation", "Generate tests for new features", "qe-test-generator")
Task("Requirements", "Validate BDD scenarios", "qe-requirements-validator")
// Phase 2: Build
Task("Execute Tests", "Full suite with coverage", "qe-test-executor")
Task("Coverage", "Analyze gaps", "qe-coverage-analyzer")
Task("Flaky Hunt", "Stabilize flaky tests", "qe-flaky-test-hunter")
// Phase 3: Integration
Task("API Contracts", "Check breaking changes", "qe-api-contract-validator")
Task("Performance", "1000 user load test", "qe-performance-tester")
Task("Security", "SAST/DAST scans", "qe-security-scanner")
// Phase 4: Staging
Task("Chaos", "Fault injection testing", "qe-chaos-engineer")
Task("Visual", "Visual regression", "qe-visual-tester")
Task("Readiness", "Deployment assessment", "qe-deployment-readiness")
// Phase 5: Production
Task("Intelligence", "Convert incidents", "qe-production-intelligence")
Task("Quality Gate", "Final validation", "qe-quality-gate")
| Risk | Strategy | Agents |
|---|---|---|
| Critical | All phases, manual gates | Full fleet |
| High | Automated gates, comprehensive | 10+ agents |
| Medium | Smart selection, risk-based | 5-8 agents |
| Low | Minimal regression, fast | 2-3 agents |
| Type | Focus Skills | Primary Agents |
|---|---|---|
| API | api-testing, contract, performance | api-contract-validator, performance-tester |
| Web UI | visual-testing, accessibility | visual-tester, accessibility |
| Mobile | mobile-testing, compatibility | performance-tester, visual-tester |
| Backend | database-testing, security | security-scanner, performance-tester |
aqe/pipeline/
├── phase-results/* - Results from each phase
├── quality-gates/* - Gate validation results
├── orchestration-plan/* - Selected skills and agents
├── test-plan/generated - Test plans
├── coverage/gaps - Coverage analysis
├── security/findings - Security results
└── performance/results - Performance data
Task("Fleet Orchestration",
"Coordinate 10 agents across phases: commit (2), build (3), test (3), staging (2)",
"qe-fleet-commander")
| Event | Trigger | Subscribers |
|---|---|---|
phase:commit:complete | Commit phase done | build agents |
coverage:gap:detected | Gap found | test-generator |
security:finding:critical | Vulnerability | quality-gate |
quality:gate:evaluated | Gate decision | fleet-commander |
{
"commit": {
"gates": [
{ "metric": "unit_coverage", "threshold": 80, "blocking": true },
{ "metric": "static_analysis_critical", "max": 0, "blocking": true }
]
},
"build": {
"gates": [
{ "metric": "all_tests_passed", "threshold": 100, "blocking": true },
{ "metric": "mutation_score", "threshold": 70, "blocking": false }
]
},
"integration": {
"gates": [
{ "metric": "api_breaking_changes", "max": 0, "blocking": true },
{ "metric": "performance_p95_ms", "threshold": 200, "blocking": true },
{ "metric": "security_critical", "max": 0, "blocking": true }
]
}
}
| Issue | Cause | Solution |
|---|---|---|
| OOM during tests | Running all tests in parallel | Use batched execution |
| Pipeline too slow | Comprehensive testing every commit | Smart test selection |
| Gates always failing | Thresholds too strict | Analyze trends, adjust |
The CI/CD Pipeline QE Orchestrator provides:
With Agents: Use qe-fleet-commander for multi-agent orchestration. Coordinate through aqe/* memory namespace. Batch operations for efficiency.
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Use when running comprehensive WCAG accessibility audits with axe-core + pa11y + Lighthouse, generating context-aware remediation, or testing video accessibility. Supports 3-tier browser cascade with graceful degradation.
中文简介正在准备中。当前显示原文说明。
WCAG 2.2 compliance testing, screen reader validation, and inclusive design verification. Use when ensuring legal compliance (ADA, Section 508), testing for disabilities, or building accessible applications for 1 billion disabled users globally.
中文简介正在准备中。当前显示原文说明。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
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Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
中文简介正在准备中。当前显示原文说明。