ruflo
Review Skills in ruvnet/ruflo, with license, maintenance context, and source paths.
- Skills
- 53
- Repository stars
- 66,999
- Identity status
- Source-linked
Provenance
Source and identity
- Profile type
- Repository
- Canonical name
- ruflo
- Public sources
- 1
- License context
- MIT
Source entries
Agent Skills from ruflo
Repository stars and maintenance signals provide context, but do not automatically become an individual Skill's quality score.
ruvnet/ruflo
agent-agent
Agent skill for agent - invoke with $agent-agent
ruvnet/ruflo
agent-architecture
Agent skill for architecture - invoke with $agent-architecture
ruvnet/ruflo
agent-code-review-swarm
Agent skill for code-review-swarm - invoke with $agent-code-review-swarm
ruvnet/ruflo
agent-hierarchical-coordinator
Agent skill for hierarchical-coordinator - invoke with $agent-hierarchical-coordinator
ruvnet/ruflo
agent-migration-plan
Agent skill for migration-plan - invoke with $agent-migration-plan
ruvnet/ruflo
agent-production-validator
Agent skill for production-validator - invoke with $agent-production-validator
ruvnet/ruflo
agent-tester
Agent skill for tester - invoke with $agent-tester
ruvnet/ruflo
agent-workflow-automation
Agent skill for workflow-automation - invoke with $agent-workflow-automation
ruvnet/ruflo
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
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
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
agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Pinned paths
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Repository context
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