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Agent skills
ai-assistant

Topic: ai-assistant

953 skills in this topic.

AgentDB Advanced Features 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.
ruvnet/ruflo 31,446
Swarm Orchestration Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
ruvnet/ruflo 31,446
V3 MCP Optimization 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.
ruvnet/ruflo 31,446
V3 Core Implementation Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
ruvnet/ruflo 31,446
AgentDB Learning Plugins 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.
ruvnet/ruflo 31,446
AgentDB Vector Search Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
ruvnet/ruflo 31,446
V3 DDD Architecture Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
ruvnet/ruflo 31,446
github-code-review Comprehensive GitHub code review with AI-powered swarm coordination
ruvnet/ruflo 31,446
AgentDB Performance Optimization Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
ruvnet/ruflo 31,446
AgentDB Learning Plugins 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.
ruvnet/ruflo 31,446
agent-v3-memory-specialist Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist
ruvnet/ruflo 31,446
agent-tdd-london-swarm Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm
ruvnet/ruflo 31,446
agent-sona-learning-optimizer Agent skill for sona-learning-optimizer - invoke with $agent-sona-learning-optimizer
ruvnet/ruflo 31,446
hive-mind Byzantine fault-tolerant consensus and distributed coordination. Queen-led hierarchical swarm management with multiple consensus strategies. Use when: distributed coordination, fault-tolerant operations, multi-agent consensus, collective decision making. Skip when: single-agent tasks, simple operations, local-only work.
ruvnet/ruflo 31,446
ReasoningBank Intelligence Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
ruvnet/ruflo 31,446
AgentDB Vector Search Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
ruvnet/ruflo 31,446
github-release-management Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
ruvnet/ruflo 31,446
Skill Builder 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.
ruvnet/ruflo 31,446
worker-integration Worker-Agent integration for intelligent task dispatch and performance tracking
ruvnet/ruflo 31,446
V3 Deep Integration Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
ruvnet/ruflo 31,446
agent-goal-planner Agent skill for goal-planner - invoke with $agent-goal-planner
ruvnet/ruflo 31,446
agent-coordination 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.
ruvnet/ruflo 31,446
agent-agentic-payments Agent skill for agentic-payments - invoke with $agent-agentic-payments
ruvnet/ruflo 31,446
agent-github-pr-manager Agent skill for github-pr-manager - invoke with $agent-github-pr-manager
ruvnet/ruflo 31,446