By degouville
Multi-agent system optimization, agent improvement workflows, and context management
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.
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub degouville/wshobson-claude-code-plugins --plugin agent-orchestrationContent marketing strategy, web research, and information synthesis for marketing operations
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
Database query optimization, cloud cost optimization, and scalability improvements
Cross-platform application development coordinating web, iOS, Android, and desktop implementations
Deployment patterns, rollback automation, and infrastructure templates
The Claude Code knowledge system — 380+ skills, 182+ agents, 100+ commands, 40 hooks, 32 rules, and workflows.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
v9.54.0 — Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.