Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
AI & LLM
LLM integrations, prompt engineering, and AI orchestration
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with...
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory...
Apply Edward de Bono's Six Thinking Hats methodology to software testing for comprehensive quality analysis. Use...
Testing in production with feature flags, canary deployments, synthetic monitoring, and chaos engineering. Use when...
Evidence-based investigative code review using deductive reasoning to determine what actually happened versus what...
Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test...
Strategic regression testing with test selection, impact analysis, and continuous regression management. Use when...
Apply safe refactoring patterns to improve code structure without changing behavior. Use when cleaning up code,...
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous...
Measure quality effectively with actionable metrics. Use when establishing quality dashboards, defining KPIs, or...
Visual regression testing, responsive design validation, and WCAG accessibility compliance testing.
AI-powered test generation using pattern recognition, code analysis, and intelligent test synthesis for...
Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.
Requirements traceability, acceptance criteria validation, and BDD scenario management for complete requirements coverage.
Comprehensive quality gates, metrics analysis, and deployment readiness assessment for continuous quality assurance.
Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.
Quality Engineering iteration loops for autonomous test improvement, coverage achievement, and quality gate...
AI-powered defect prediction, pattern learning, and root cause analysis for proactive quality management.
O(log n) sublinear coverage gap detection with risk-weighted analysis and intelligent test prioritization.
Knowledge graph-based code understanding with semantic search and 80% token reduction through intelligent context retrieval.
Chaos engineering and resilience testing including fault injection, load testing, and system recovery validation.
Test application performance, scalability, and resilience. Use when planning load testing, stress testing, or...
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms