ReddRadar
Topic: multi-agent
1,931 skills in this topic.
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hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
ruvnet/ruflo 31,446
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github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
ruvnet/ruflo 31,446
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github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
ruvnet/ruflo 31,446
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github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
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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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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flow-nexus-platform
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
ruvnet/ruflo 31,446
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flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
ruvnet/ruflo 31,446
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browser
Web browser automation with AI-optimized snapshots for claude-flow agents
ruvnet/ruflo 31,446
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agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
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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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 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/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 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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browser
Web browser automation with AI-optimized snapshots for claude-flow agents
ruvnet/ruflo 31,446
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Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
ruvnet/ruflo 31,446
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stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
ruvnet/ruflo 31,446
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sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
ruvnet/ruflo 31,446
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flow-nexus-platform
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
ruvnet/ruflo 31,446
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flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
ruvnet/ruflo 31,446
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agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
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 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/ruflo 31,446