By ruvnet
Orchestrate distributed research, development, and testing workflows using configurable swarm topologies (mesh, hierarchical, star, ring) and agent strategies (adaptive, balanced, specialized, parallel) for complex multi-agent coordination.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub p/ruvnet-ruvnet-swarm-advanced-claude-skills-swarm-advancedEnterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
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.
Comprehensive GitHub code review with AI-powered swarm coordination
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.
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Enterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
Durable multi-worker coding orchestration with supervised CLIs, metric routing, transactional integration, recovery, and explicit approvals.
Pi Flow — author, enhance, and run structured filesystem-coordinated workflows (a DAG of producer/verify nodes) as a fleet of efficient pi agents driven by non-Claude coding-plan models, with Claude Code as the single console. Three skills: piflow-init (create a workflow), piflow-enhance (improve it), piflow-start (run + monitor it).
Orchestrate complex workflows with DAG-based execution, parallel tasks, and run history tracking
Multi-agent task decomposition and coordination for Claude Code