By ruvnet
Profile Claude Flow swarms to detect bottlenecks, analyze performance metrics, and receive actionable optimization recommendations that improve swarm throughput and efficiency.
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npx claudepluginhub p/ruvnet-ruvnet-performance-analysis-claude-skills-performance-analysisEnterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
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.
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
Analyze and optimize system throughput
Run Claude Code dynamic-workflow scripts on a local Codex App Server — fan out Codex/GPT agents with the agent/parallel/pipeline DSL, sessionful steerable workers, supervised fleets (--multi), live viewers, and run analytics.
Monitor and analyze Claude API health, performance metrics, and usage patterns. Useful for teams running production AI applications.
Ultra-compressed communication mode. Cuts 65% of output tokens (measured) while keeping full technical accuracy by speaking like a caveman.