mlops-workflows
【部署与运维】Comprehensive MLOps workflows for the complete ML lifecycle - experiment tracking, model registry, deployment patterns, monitoring, A/B testing, and production best practices with MLflow
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writing-skills
效率与协作技能，来自 obra/superpowers，查看原文获取完整用途和操作说明。
canary
【部署与运维】Post-deploy canary monitoring. (gstack)
land-and-deploy
【部署与运维】Land and deploy workflow. (gstack)