proffesor-for-testing AI Skills

GitHub

qe-n8n-expression-testing

proffesor-for-testing

n8n expression syntax validation, context-aware testing, common pitfalls detection, and performance optimization. Use when validating n8n expressions and data transformations.

☆ 233Voir le skill

GitHub

qe-security-compliance

proffesor-for-testing

Security auditing, vulnerability scanning, and compliance validation for OWASP, SOC2, GDPR, and other standards.

☆ 217Voir le skill

GitHub

qe-defect-intelligence

proffesor-for-testing

AI-powered defect prediction, pattern learning, and root cause analysis for proactive quality management.

☆ 216Voir le skill

GitHub

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...

☆ 216Voir le skill

GitHub

qe-quality-assessment

proffesor-for-testing

Comprehensive quality gates, metrics analysis, and deployment readiness assessment for continuous quality assurance.

☆ 216Voir le skill

GitHub

qe-contract-testing

proffesor-for-testing

Consumer-driven contract testing for APIs including REST, GraphQL, and event-driven systems with schema validation.

☆ 216Voir le skill

GitHub

qe-test-execution

proffesor-for-testing

Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.

☆ 216Voir le skill

GitHub

qe-iterative-loop

proffesor-for-testing

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...

☆ 216Voir le skill

GitHub

iterative-loop

proffesor-for-testing

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...

☆ 216Voir le skill

GitHub

qe-test-generation

proffesor-for-testing

AI-powered test generation using pattern recognition, code analysis, and intelligent test synthesis for comprehensive test coverage.

☆ 216Voir le skill

GitHub

qe-coverage-analysis

proffesor-for-testing

O(log n) sublinear coverage gap detection with risk-weighted analysis and intelligent test prioritization.

☆ 216Voir le skill

GitHub

security-visual-testing

proffesor-for-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...

☆ 216Voir le skill

GitHub

v3-qe-mcp-optimization

proffesor-for-testing

Optimized MCP server for QE with connection pooling, O(1) tool lookup, load balancing, and

☆ 216Voir le skill

GitHub

qe-requirements-validation

proffesor-for-testing

Requirements traceability, acceptance criteria validation, and BDD scenario management for complete requirements coverage.

☆ 216Voir le skill

GitHub

v3-qe-ddd-architecture

proffesor-for-testing

Domain-Driven Design architecture for Agentic QE v3. Implements modular, bounded context architecture with clean separation of concerns for quality engineering domains.

☆ 216Voir le skill

GitHub

qe-chaos-resilience

proffesor-for-testing

Chaos engineering and resilience testing including fault injection, load testing, and system recovery validation.

☆ 216Voir le skill

GitHub

qe-learning-optimization

proffesor-for-testing

Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.

☆ 216Voir le skill

GitHub

v3-qe-agentic-flow-integration

proffesor-for-testing

Deep integration with agentic-flow@alpha for SONA learning, Flash Attention (2.49x-7.47x speedup), and 9 RL algorithms.

☆ 216Voir le skill

GitHub

qe-code-intelligence

proffesor-for-testing

Knowledge graph-based code understanding with semantic search and 80% token reduction through intelligent context retrieval.

☆ 216Voir le skill

GitHub

v3-qe-memory-unification

proffesor-for-testing

Unified memory system for QE with AgentDB, HNSW indexing (150x-12,500x faster search), and SONA learning integration.

☆ 216Voir le skill

GitHub

sfdipot-product-factors

proffesor-for-testing

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...

☆ 216Voir le skill

GitHub