GitHub
qe-n8n-expression-testing
n8n expression syntax validation, context-aware testing, common pitfalls detection, and performance optimization. Use when validating n8n expressions and data transformations.
☆ 233View skill
proffesor-for-testing AI Skills
GitHub ↗Browse published AI skills maintained by proffesor-for-testing. Compare skill descriptions and follow each source repository for setup instructions.
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Indexed skills
103Repository stars across indexed skills
13,878Repository forks
2,827Average repository stars per indexed skill
135Repository stars may repeat across skills from the same repository.
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GitHub
qe-security-compliance
Security auditing, vulnerability scanning, and compliance validation for OWASP, SOC2, GDPR, and other standards.
☆ 217View skill
GitHub
qe-defect-intelligence
AI-powered defect prediction, pattern learning, and root cause analysis for proactive quality management.
☆ 216View skill
GitHub
qe-iterative-loop
Quality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate compliance. Use when tests need to pass, coverage targets must be met, quality gates require complianc...
☆ 216View skill
GitHub
qe-quality-assessment
Comprehensive quality gates, metrics analysis, and deployment readiness assessment for continuous quality assurance.
☆ 216View skill
GitHub
qe-contract-testing
Consumer-driven contract testing for APIs including REST, GraphQL, and event-driven systems with schema validation.
☆ 216View skill
GitHub
qe-test-execution
Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.
☆ 216View skill
GitHub
qe-iterative-loop
Quality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate compliance. Use when tests need to pass, coverage targets must be met, quality gates require complianc...
☆ 216View skill
GitHub
iterative-loop
Implement continuous AI iteration loops for complex development tasks. Use when building features requiring test-driven refinement, implementing tasks with clear success criteria, or automating iterative improv...
☆ 216View skill
GitHub
qe-test-generation
AI-powered test generation using pattern recognition, code analysis, and intelligent test synthesis for comprehensive test coverage.
☆ 216View skill
GitHub
qe-coverage-analysis
O(log n) sublinear coverage gap detection with risk-weighted analysis and intelligent test prioritization.
☆ 216View skill
GitHub
security-visual-testing
Security-first visual testing combining URL validation, PII detection, and visual regression with parallel viewport support. Use when testing web applications that handle sensitive data, need visual regression...
☆ 216View skill
GitHub
v3-qe-mcp-optimization
Optimized MCP server for QE with connection pooling, O(1) tool lookup, load balancing, and
☆ 216View skill
GitHub
qe-requirements-validation
Requirements traceability, acceptance criteria validation, and BDD scenario management for complete requirements coverage.
☆ 216View skill
GitHub
v3-qe-ddd-architecture
Domain-Driven Design architecture for Agentic QE v3. Implements modular, bounded context architecture with clean separation of concerns for quality engineering domains.
☆ 216View skill
GitHub
qe-chaos-resilience
Chaos engineering and resilience testing including fault injection, load testing, and system recovery validation.
☆ 216View skill
GitHub
qe-learning-optimization
Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.
☆ 216View skill
GitHub
v3-qe-agentic-flow-integration
Deep integration with agentic-flow@alpha for SONA learning, Flash Attention (2.49x-7.47x speedup), and 9 RL algorithms.
☆ 216View skill
GitHub
qe-code-intelligence
Knowledge graph-based code understanding with semantic search and 80% token reduction through intelligent context retrieval.
☆ 216View skill
GitHub
v3-qe-memory-unification
Unified memory system for QE with AgentDB, HNSW indexing (150x-12,500x faster search), and SONA learning integration.
☆ 216View skill
GitHub
sfdipot-product-factors
James Bach's HTSM Product Factors (SFDIPOT) analysis for comprehensive test strategy generation. Use when analyzing requirements, epics, or user stories to generate prioritized test ideas across Structure, Func...
☆ 216View skill
GitHub
aqe-v2-v3-migration
Migrate Agentic QE projects from v2 to v3 with zero data loss
☆ 216View skill
GitHub
aqe-v2-v3-migration
Migrate Agentic QE projects from v2 to v3 with zero data loss
☆ 216View skill
GitHub
qe-visual-accessibility
Visual regression testing, responsive design validation, and WCAG accessibility compliance testing.
☆ 216View skill
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.