ReddRadar
Topic: autonomous-agents
981 skills in this topic.
-
V3 Swarm Coordination
15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
ruvnet/ruflo 31,446
-
agent-resource-allocator
Agent skill for resource-allocator - invoke with $agent-resource-allocator
ruvnet/ruflo 31,446
-
agent-planner
Agent skill for planner - invoke with $agent-planner
ruvnet/ruflo 31,446
-
agent-coder
Agent skill for coder - invoke with $agent-coder
ruvnet/ruflo 31,446
-
V3 Memory Unification
Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).
ruvnet/ruflo 31,446
-
agent-scout-explorer
Agent skill for scout-explorer - invoke with $agent-scout-explorer
ruvnet/ruflo 31,446
-
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
-
agent-code-goal-planner
Agent skill for code-goal-planner - invoke with $agent-code-goal-planner
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
-
swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
ruvnet/ruflo 31,446
-
V3 Performance Optimization
Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.
ruvnet/ruflo 31,446
-
agent-test-long-runner
Agent skill for test-long-runner - invoke with $agent-test-long-runner
ruvnet/ruflo 31,446
-
agent-arch-system-design
Agent skill for arch-system-design - invoke with $agent-arch-system-design
ruvnet/ruflo 31,446
-
agent-safla-neural
Agent skill for safla-neural - invoke with $agent-safla-neural
ruvnet/ruflo 31,446
-
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
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
-
agent-agentic-payments
Agent skill for agentic-payments - invoke with $agent-agentic-payments
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
-
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
-
agent-architecture
Agent skill for architecture - invoke with $agent-architecture
ruvnet/ruflo 31,446
-
agent-docs-api-openapi
Agent skill for docs-api-openapi - invoke with $agent-docs-api-openapi
ruvnet/ruflo 31,446
-
agent-release-manager
Agent skill for release-manager - invoke with $agent-release-manager
ruvnet/ruflo 31,446
-
embeddings
Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.
ruvnet/ruflo 31,446