Topic: agentic-workflow
2,980 skills in this topic.
-
swarm-advanced
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
ruvnet/ruflo 31,446
-
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
-
agent-data-ml-model
Agent skill for data-ml-model - invoke with $agent-data-ml-model
ruvnet/ruflo 31,446
-
agent-crdt-synchronizer
Agent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizer
ruvnet/ruflo 31,446
-
agent-architecture
Agent skill for architecture - invoke with $agent-architecture
ruvnet/ruflo 31,446
-
agent-coordination
Agent spawning, lifecycle management, and coordination patterns. Manages 60+ agent types with specialized capabilities. Use when: spawning agents, coordinating multi-agent tasks, managing agent pools. Skip when: single-agent work, no coordination needed.
ruvnet/ruflo 31,446
-
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
-
agent-v3-memory-specialist
Agent skill for v3-memory-specialist - invoke with $agent-v3-memory-specialist
ruvnet/ruflo 31,446
-
sparc-methodology
SPARC development workflow: Specification, Pseudocode, Architecture, Refinement, Completion. A structured approach for complex implementations that ensures thorough planning before coding. Use when: new feature implementation, complex implementations, architectural changes, system redesign, integration work, unclear requirements. Skip when: simple bug fixes, documentation updates, configuration changes, well-defined small tasks, routine maintenance.
ruvnet/ruflo 31,446
-
agent-code-analyzer
Agent skill for code-analyzer - invoke with $agent-code-analyzer
ruvnet/ruflo 31,446
-
agent-authentication
Agent skill for authentication - invoke with $agent-authentication
ruvnet/ruflo 31,446
-
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
ruvnet/ruflo 31,446
-
workflow-automation
Workflow creation, execution, and template management. Automates complex multi-step processes with agent coordination. Use when: automating processes, creating reusable workflows, orchestrating multi-step tasks. Skip when: simple single-step tasks, ad-hoc operations.
ruvnet/ruflo 31,446
-
agent-hierarchical-coordinator
Agent skill for hierarchical-coordinator - invoke with $agent-hierarchical-coordinator
ruvnet/ruflo 31,446
-
agent-quorum-manager
Agent skill for quorum-manager - invoke with $agent-quorum-manager
ruvnet/ruflo 31,446
-
agent-neural-network
Agent skill for neural-network - invoke with $agent-neural-network
ruvnet/ruflo 31,446
-
agent-specification
Agent skill for specification - invoke with $agent-specification
ruvnet/ruflo 31,446
-
agent-topology-optimizer
Agent skill for topology-optimizer - invoke with $agent-topology-optimizer
ruvnet/ruflo 31,446
-
agent-worker-specialist
Agent skill for worker-specialist - invoke with $agent-worker-specialist
ruvnet/ruflo 31,446
-
agent-implementer-sparc-coder
Agent skill for implementer-sparc-coder - invoke with $agent-implementer-sparc-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-raft-manager
Agent skill for raft-manager - invoke with $agent-raft-manager
ruvnet/ruflo 31,446
-
agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
ruvnet/ruflo 31,446
-
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/ruflo 31,446