How does it ensure data reproducibility?

The skill guides you in implementing data validation (like Great Expectations) and versioning (like DVC) to maintain a clear lineage of datasets and models.

Can I use this for experiment tracking?

Yes, it includes integration patterns for popular platforms like MLflow and Weights & Biases to track training metrics and manage model registries.

Does it handle model deployment?

It includes comprehensive guidance for various serving architectures and deployment strategies, including canary rollouts, shadow deployments, and A/B testing.

What orchestration tools does this skill support?

It provides patterns and templates for major industry-standard tools including Apache Airflow, Dagster, Kubeflow Pipelines, and Prefect.

ML Pipeline Workflow

Name: ML Pipeline Workflow
Author: HermeticOrmus

byHermeticOrmus

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Data Science & ML

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

This skill provides a comprehensive framework for building and automating production-grade machine learning pipelines. It guides users through the entire ML lifecycle, including data ingestion, feature engineering, experimental tracking, and robust deployment strategies like canary or blue-green releases. By implementing DAG-based orchestration patterns and best practices for reproducibility, this skill helps developers and data scientists transform experimental models into reliable, observable, and scalable production systems.

Key Features

01End-to-end DAG orchestration for complex ML workflows

02Production-ready deployment patterns including Canary and Blue-Green

03Experiment tracking integration with MLflow and Weights & Biases

040 GitHub stars

05Automated data validation and versioning for reproducible pipelines

06Integrated model monitoring and performance regression detection

Use Cases

01Building automated retraining pipelines triggered by data drift

02Standardizing model validation and deployment across production environments

03Designing reproducible training workflows for team collaboration

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/after-the-third-cup ml-pipeline-workflow

For use in Claude.ai and ChatGPT

Download Skill