Which orchestration tools does this skill support?

The skill provides architectural guidance for popular tools including Apache Airflow, Dagster, Kubeflow Pipelines, and Prefect.

What is the ML Pipeline Workflow skill?

It is a specialized capability for Claude Code that provides patterns, templates, and guidance for building complete MLOps pipelines from data ingestion to production deployment.

Can this skill help with model monitoring and drift?

Yes, it includes best practices for logging metrics at every stage and implementing monitoring to detect data drift and performance degradation.

Does it include templates for deployment?

Yes, it provides assets and reference documentation for various deployment patterns, including batch processing, real-time features, and continuous training.

ML Pipeline Workflow

Name: ML Pipeline Workflow
Author: Activer007

byActiver007

0•

データサイエンスとML

Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.

This skill provides comprehensive guidance for building and automating production-grade machine learning pipelines, covering the entire lifecycle from data ingestion to deployment. It helps users design robust Directed Acyclic Graph (DAG) architectures, implement reproducible training workflows, and establish automated validation and deployment strategies using industry-standard tools like Airflow, Kubeflow, and MLflow. Whether you're setting up a batch training pipeline or continuous training triggered by data drift, this skill ensures modularity, versioning, and observability throughout your machine learning operations.

主な機能

01Model training management with experiment tracking integration

02End-to-end MLOps pipeline orchestration and DAG design patterns

03Performance validation frameworks including A/B testing infrastructure

04Automated data validation, feature engineering, and lineage tracking

05Deployment automation using canary and blue-green strategies

060 GitHub stars

ユースケース

01Designing scalable data-to-model pipelines using Airflow or Kubeflow

02Building automated retraining workflows for production machine learning models

03Implementing reproducible ML experiments with integrated monitoring and versioning

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills ml-pipeline-workflow

For use in Claude.ai and ChatGPT

Download Skill