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Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format...
Autonomous testing skill that opens a deployed app, goes through user flows, tries to break things, and writes detailed bug reports. Use after deploying to staging. Triggers on: test the app, find bugs, QA the...
PROACTIVELY search auto-generated documentation when receiving ANY user instruction. Search for function signatures, API documentation, class definitions, and code comments BEFORE implementing anything. Your co...
PROACTIVELY query the code graph database to understand relationships and impact of changes. Use this skill WHEN READING any file to understand context, when searching for files, when exploring the codebase, or...
Send and receive messages between AI agents using AI Maestro's messaging system. Use this skill when the user asks to "send a message", "check inbox", "read messages", "notify [agent]", "tell [agent]", or any i...
PROACTIVELY search conversation history when receiving user instructions. Find previous discussions, decisions, and context BEFORE starting new work. Your memory is valuable - use it.
Capture new learnings discovered during code exploration or user interaction that were not present in context, memories, or codebase documentation. This skill should be invoked when Claude discovers something n...
Security auditing, vulnerability scanning, and compliance validation for OWASP, SOC2, GDPR, and other standards.
AI-powered defect prediction, pattern learning, and root cause analysis for proactive quality management.
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...
Comprehensive quality gates, metrics analysis, and deployment readiness assessment for continuous quality assurance.
Consumer-driven contract testing for APIs including REST, GraphQL, and event-driven systems with schema validation.
Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.
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...
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...
AI-powered test generation using pattern recognition, code analysis, and intelligent test synthesis for comprehensive test coverage.
O(log n) sublinear coverage gap detection with risk-weighted analysis and intelligent test prioritization.
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...
Optimized MCP server for QE with connection pooling, O(1) tool lookup, load balancing, and
Requirements traceability, acceptance criteria validation, and BDD scenario management for complete requirements coverage.
Domain-Driven Design architecture for Agentic QE v3. Implements modular, bounded context architecture with clean separation of concerns for quality engineering domains.
Chaos engineering and resilience testing including fault injection, load testing, and system recovery validation.
Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.
Deep integration with agentic-flow@alpha for SONA learning, Flash Attention (2.49x-7.47x speedup), and 9 RL algorithms.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.