{"skill":{"slug":"ai-orchestration","displayName":"Ai Orchestration","summary":"Multi-agent AI orchestration, prompt engineering, and eval-driven development. Design, coordinate, and evaluate AI agent systems with structured communicatio...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":101,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1775085025190,"updatedAt":1775085709727},"latestVersion":{"version":"1.0.0","createdAt":1775085025190,"changelog":"ai-orchestration v1.0.0\n\n- Initial release introducing multi-agent AI orchestration concepts and practices.\n- Provides structured methods for agent decomposition, parallel and sequential workflows, and context isolation.\n- Includes prompt engineering patterns such as Role-Task-Context-Format (RTCF), chain of thought reasoning, few-shot learning, and structured output requirements.\n- Supports eval-driven development with example Python code for prompt evaluation frameworks.\n- Details explicit and implicit triggers for when to use the skill, along with usage workflow and best practices.","license":"MIT-0"},"metadata":null,"owner":{"handle":"pietjepuh","userId":"s1722t0q3rdr8144vrbnc5s7vh841w02","displayName":"Optimize","image":"https://avatars.githubusercontent.com/u/61429602?v=4"},"moderation":null}