By EricGrill
Orchestrate multi-agent AI workflows with dynamic context management using vector databases and memory systems, while profiling and optimizing performance through prompt engineering and system analysis.
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
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 ericgrill/agents-skills-plugins --plugin agent-orchestrationEssential developer skills for monorepos, debugging, testing, and build optimization
SEO content creation with auditing, planning, and optimized writing
Database architecture and SQL optimization with PostgreSQL expertise
Customer support and sales automation agents
Blockchain development with Solidity security, DeFi protocols, NFT standards, and Web3 testing
Multi-agent system optimization, agent improvement workflows, and context management
High-intelligence Claude Code copilot with deep code reasoning, evidence-driven planning, orchestration-first execution, model routing, context budgeting, CI/CD integration, enterprise security, plugin development, prompt engineering, performance profiling, agent teams, channels (event-driven autonomy with CI webhook, mobile approval relay, Discord bridge, and fakechat dev profile), interactive tutorials, LSP integration, security-hardened hook script library, MCP Prompts coverage, common workflow packs, runtime selection guide, computer-use patterns, checkpointing, scheduled-task blueprints, repo bootstrap scanner, hook policy engine (8 installable packs), layered memory deployment, role-based subagent packs (implementer, debugger, migration-lead, dependency-auditor, release-coordinator), 5 agent-team topology kits, autonomy operating mode (4 profiles + 3 gates), and a queryable 15-tool MCP documentation server with autonomy advisor.
Multi-agent orchestrator — supervisor loop that launches agents to implement plans
Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)
Battle-tested Claude Code plugin for engineering teams — 38 agents, 156 skills, 72 legacy command shims, production-ready hooks, and selective install workflows evolved through continuous real-world use
Advanced multi-agent coordination platform with task orchestration, performance monitoring, and workflow optimization. Features hooks for agent lifecycle events and MCP server for state management.