executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
machine-learning-engineerExpert-thinking profile for Machine Learning Engineer (production ML / MLOps / feature stores & serving): Reasons from feature-store point-in-time joins (Feast/Tecton), Airflow/Kubeflow training pipelines, MLflow registry, Triton/TorchServe/BentoML serving, Evidently/WhyLabs drift and PSI, shadow/canary/A/B rollouts, inference SLAs, and reproducible trainin…
Independent GitHub snapshot · Automated classification · Original documentation governs