llm-ai
31.2K
agent-user-tools
Agent skill for user-tools - invoke with $agent-user-tools
ruvnet
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
31.2K
agent-v3-integration-architect
Agent skill for v3-integration-architect - invoke with $agent-v3-integration-architect
ruvnet
data-ai
llm-ai
31.2K
agent-v3-memory-specialist
Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist
ruvnet
data-ai
llm-ai
31.2K
agent-v3-performance-engineer
Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer
ruvnet
data-ai
llm-ai
31.2K
agent-v3-queen-coordinator
Agent skill for v3-queen-coordinator - invoke with $agent-v3-queen-coordinator
ruvnet
data-ai
llm-ai
31.2K
agent-v3-security-architect
Agent skill for v3-security-architect - invoke with $agent-v3-security-architect
ruvnet
data-ai
llm-ai
31.2K
agent-worker-specialist
Agent skill for worker-specialist - invoke with $agent-worker-specialist
ruvnet
data-ai
llm-ai
31.2K
agentdb-memory-patterns
Implement 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.
ruvnet
data-ai
llm-ai
31.2K
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
data-ai
llm-ai
31.2K
agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
ruvnet
data-ai
llm-ai
31.2K
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
ruvnet
data-ai
llm-ai
31.2K
agentdb-memory-patterns
Implement 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.
ruvnet
data-ai
llm-ai
31.2K
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
data-ai
llm-ai
31.2K
agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
ruvnet
data-ai
llm-ai
31.2K
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
ruvnet
data-ai
llm-ai
31.2K
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
ruvnet
data-ai
llm-ai
31.2K
memory-management
AgentDB memory system with HNSW vector search. Use when: need to store patterns, search for solutions, semantic lookup. Skip when: no learning needed, ephemeral tasks.
ruvnet
data-ai
machine-learning
31.2K
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
data-ai
machine-learning
31.2K
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
ruvnet
data-ai
machine-learning
31.2K
neural-training
Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.
ruvnet
data-ai
machine-learning
31.2K
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
data-ai
machine-learning
31.2K
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
data-ai