ruvnet
@ruvnet
Public Skills
agent-multi-repo-swarm
by ruvnet
Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm
agent-pr-manager
by ruvnet
Agent skill for pr-manager - invoke with $agent-pr-manager
agent-performance-analyzer
by ruvnet
Agent skill for performance-analyzer - invoke with $agent-performance-analyzer
agent-performance-benchmarker
by ruvnet
Agent skill for performance-benchmarker - invoke with $agent-performance-benchmarker
agent-coordination
by ruvnet
Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.
agent-agentic-payments
by ruvnet
Agent skill for agentic-payments - invoke with $agent-agentic-payments
agent-crdt-synchronizer
by ruvnet
Agent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizer
agent-base-template-generator
by ruvnet
Agent skill for base-template-generator - invoke with $agent-base-template-generator
agent-code-goal-planner
by ruvnet
Agent skill for code-goal-planner - invoke with $agent-code-goal-planner
agent-gossip-coordinator
by ruvnet
Agent skill for gossip-coordinator - invoke with $agent-gossip-coordinator
V3 MCP Optimization
by ruvnet
"MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times."
V3 CLI Modernization
by ruvnet
"CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation."
V3 DDD Architecture
by ruvnet
"Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern."
V3 Memory Unification
by ruvnet
"Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend)."
V3 Deep Integration
by ruvnet
"Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation."
V3 Security Overhaul
by ruvnet
"Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation."
V3 Swarm Coordination
by ruvnet
"15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline."
V3 Core Implementation
by ruvnet
"Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing."
V3 Performance Optimization
by ruvnet
"Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite."
worker-benchmarks
by ruvnet
Run comprehensive worker system benchmarks and performance analysis
worker-integration
by ruvnet
Worker-Agent integration for intelligent task dispatch and performance tracking
agentic-jujutsu
by ruvnet
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
ReasoningBank with AgentDB
by ruvnet
"Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems."
AgentDB Advanced Features
by ruvnet
"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."