Topic: agentic-rag
269 skills in this topic.
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agent-swarm
Agent skill for swarm - invoke with $agent-swarm
ruvnet/ruflo 31,446
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agent-swarm-memory-manager
Agent skill for swarm-memory-manager - invoke with $agent-swarm-memory-manager
ruvnet/ruflo 31,446
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agent-tdd-london-swarm
Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm
ruvnet/ruflo 31,446
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agent-test-long-runner
Agent skill for test-long-runner - invoke with $agent-test-long-runner
ruvnet/ruflo 31,446
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agent-tester
Agent skill for tester - invoke with $agent-tester
ruvnet/ruflo 31,446
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agent-user-tools
Agent skill for user-tools - invoke with $agent-user-tools
ruvnet/ruflo 31,446
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agent-v3-memory-specialist
Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist
ruvnet/ruflo 31,446
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agent-v3-performance-engineer
Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer
ruvnet/ruflo 31,446
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agent-v3-security-architect
Agent skill for v3-security-architect - invoke with $agent-v3-security-architect
ruvnet/ruflo 31,446
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agent-workflow
Agent skill for workflow - invoke with $agent-workflow
ruvnet/ruflo 31,446
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agent-workflow-automation
Agent skill for workflow-automation - invoke with $agent-workflow-automation
ruvnet/ruflo 31,446
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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
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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
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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
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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
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flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
ruvnet/ruflo 31,446
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github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
ruvnet/ruflo 31,446
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github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
ruvnet/ruflo 31,446
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github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
ruvnet/ruflo 31,446
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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
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memory-management
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.
ruvnet/ruflo 31,446
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ReasoningBank with AgentDB
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.
ruvnet/ruflo 31,446
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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
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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