By ruvnet
Orchestrate multi-step agent pipelines where each output feeds into the next step, with support for custom prompt chains and predefined workflows for data transformation, code refactoring, and security audits.
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npx claudepluginhub p/ruvnet-ruvnet-stream-chain-claude-skills-stream-chainEnterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
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.
Comprehensive GitHub code review with AI-powered swarm coordination
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.
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
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).
Multi-agent workflow orchestration via YAML. Ships the conductor skill so the assistant can validate, run, debug, and author workflow files for the conductor CLI.
Design complex n8n workflows with AI assistance - loops, branching, error handling
Enterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
Multi-agent workflow orchestration with natural language creation, parallel execution, conditional flows, and visual progress tracking