Multi-agent system optimization, agent improvement workflows, and context management
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
The Multi-Agent Optimization Tool is an advanced AI-driven framework designed to holistically improve system performance through intelligent, coordinated agent-based optimization. Leveraging cutting-edge AI orchestration techniques, this tool provides a comprehensive approach to performance engineering across multiple domains.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub ai-foundry-core/ril-agents --plugin agent-orchestrationTest-driven development methodology with red-green-refactor cycles and code review
Code cleanup, refactoring automation, and technical debt management with context restoration
Pre-deployment checks, configuration validation, and deployment readiness assessment
Technical SEO optimization including meta tags, keywords, structure, and featured snippets
Team workflows, issue management, standup automation, and developer experience optimization
Multi-agent system optimization, agent improvement workflows, and context management
Portable, vendor-agnostic agent harness for project-specific skills, workflows, and agent teams aligned with your codebase, conventions, and engineering standards.
Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)
Multi-agent orchestrator — supervisor loop that launches agents to implement plans
Use this agent for optimizing human-agent collaboration workflows and analyzing workflow efficiency. This agent specializes in identifying bottlenecks, streamlining processes, and ensuring smooth handoffs between human creativity and AI assistance. Examples:\n\n<example>\nContext: Improving development workflow efficiency
Agent coordination and meta-programming - multi-agent orchestration, workflow automation. Works best with other voltagent plugins installed.