Run comprehensive worker system benchmarks and performance analysis
Agent skill for memory-coordinator - invoke with $agent-memory-coordinator
Agent skill for project-board-sync - invoke with $agent-project-board-sync
Agent skill for raft-manager - invoke with $agent-raft-manager
Agent skill for specification - invoke with $agent-specification
AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, searching for similar solutions, semantic lookup of past work, learning from previous tasks, sharing knowledge between agents, building knowledge base. Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.
Agent skill for authentication - invoke with $agent-authentication
Agent skill for orchestrator-task - invoke with $agent-orchestrator-task
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
Agent skill for worker-specialist - invoke with $agent-worker-specialist
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
Agent skill for agentic-payments - invoke with $agent-agentic-payments
Agent skill for security-manager - invoke with $agent-security-manager
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.
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Agent skill for researcher - invoke with $agent-researcher
Agent skill for production-validator - invoke with $agent-production-validator
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
Agent skill for swarm-pr - invoke with $agent-swarm-pr