{"name":"wshobson-wshobson-ml-pipeline-workflow-plugins-machine-learning-ops-skills-ml-pipeline-workflow","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"wshobson-wshobson-ml-pipeline-workflow-plugins-machine-learning-ops-skills-ml-pipeline-workflow","source":{"source":"git-subdir","url":"https://github.com/wshobson/agents","path":"plugins/machine-learning-ops/skills/ml-pipeline-workflow"},"description":"Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.","version":"1.0.0","strict":false,"keywords":["mlops","pipelines","deployment","orchestration"],"category":"productivity"}]}