技能与智能体开发
5,949 个结果
- Agent SpecificationruvnetAgent skill for specification - invoke with $agent-specification
- Agent SwarmruvnetAgent skill for swarm - invoke with $agent-swarm
- Agent Swarm Memory ManagerruvnetAgent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager
- Agent Swarm PrruvnetAgent skill for swarm-pr - invoke with $agent-swarm-pr
- Agent Sync CoordinatorruvnetAgent skill for sync-coordinator - invoke with $agent-sync-coordinator
- Agent Tdd London SwarmruvnetAgent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm
- Agent User ToolsruvnetAgent skill for user-tools - invoke with $agent-user-tools
- Agent V3 Integration ArchitectruvnetAgent skill for v3-integration-architect - invoke with $agent-v3-integration-architect
- Agent V3 Memory SpecialistruvnetAgent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist
- Agent V3 Performance EngineerruvnetAgent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer
- Agent V3 Queen CoordinatorruvnetAgent skill for v3-queen-coordinator - invoke with $agent-v3-queen-coordinator
- Agent Worker SpecialistruvnetAgent skill for worker-specialist - invoke with $agent-worker-specialist
- Agent WorkflowruvnetAgent skill for workflow - invoke with $agent-workflow
- Agent Workflow AutomationruvnetAgent skill for workflow-automation - invoke with $agent-workflow-automation
- AgentDB Learning PluginsruvnetCreate 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.
- AgentDB Memory PatternsruvnetImplement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
- AgentDB Performance OptimizationruvnetOptimize 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.
- AgentDB Vector SearchruvnetImplement 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.
- Agentdb Learning PluginsruvnetCreate 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.
- Agentdb Memory PatternsruvnetImplement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
- Agentdb QueryruvnetQuery AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search
- Agentdb Vector SearchruvnetImplement 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.
- Agentic JujutsuruvnetQuantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
- BrowserruvnetWeb browser automation with AI-optimized snapshots for claude-flow agents