Topic: agentic-workflow
2,980 skills in this topic.
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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-data-ml-model
Agent skill for data-ml-model - invoke with $agent-data-ml-model
ruvnet/ruflo 31,446
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agent-pagerank-analyzer
Agent skill for pagerank-analyzer - invoke with $agent-pagerank-analyzer
ruvnet/ruflo 31,446
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performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
ruvnet/ruflo 31,446
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agent-memory-coordinator
Agent skill for memory-coordinator - invoke with $agent-memory-coordinator
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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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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agent-load-balancer
Agent skill for load-balancer - invoke with $agent-load-balancer
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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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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agent-security-manager
Agent skill for security-manager - invoke with $agent-security-manager
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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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
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Hooks Automation
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks, session management, Git integration, memory coordination, and neural pattern training for enhanced development workflows.
ruvnet/ruflo 31,446
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agent-safla-neural
Agent skill for safla-neural - invoke with $agent-safla-neural
ruvnet/ruflo 31,446
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agent-reviewer
Agent skill for reviewer - invoke with $agent-reviewer
ruvnet/ruflo 31,446
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agent-multi-repo-swarm
Agent skill for multi-repo-swarm - invoke with $agent-multi-repo-swarm
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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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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stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
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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V3 Core Implementation
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
ruvnet/ruflo 31,446
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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