mlops-dag-builder
Design DAG-based MLOps pipeline architectures with Airflow, Dagster, Kubeflow, or Prefect. Activates for DAG orchestration, workflow automation, pipeline design patterns, CI/CD for ML. Use for platform-agnostic MLOps infrastructure - NOT for SpecWeave increment-based ML (use ml-pipeline-orchestrator instead).
npx skills add majiayu000/claude-skill-registry --skill mlops-dag-builder --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# MLOps DAG Builder Design and implement DAG-based ML pipeline architectures using production orchestration tools. ## Overview This skill provides guidance for building **platform-agnostic MLOps pipelines** using DAG orchestrators (Airflow, Dagster, Kubeflow, Prefect). It focuses on workflow architecture, not SpecWeave integration. **When to use this skill vs ml-pipeline-orchestrator:** - **Use this skill**: General MLOps architecture, Airflow/Dagster DAGs, cloud ML platforms - **Use ml-pipeline-orchestrator**: SpecWeave increment-based ML development with experiment tracking ## When to Use This Skill - Designing DAG-based workflow orchestration (Airflow, Dagster, Kubeflow) - Implementing platform-agnostic ML pipeline patterns - Setting up CI/CD automation for ML training jobs - Creating reusable pipeline templates for teams - Integrating with cloud ML services (SageMaker, Vertex AI, Azure ML) ## What This Skill Provides ### Core Capabilities 1. **Pipeline Architecture** - End-to-end workflow design - DAG orchestration patterns (Airflow, Dagster, Kubeflow) - Component dependencies and data flow - Error handling and retry strategies 2. **Data Preparation** - Data validation and qual
- Overview
- When to Use This Skill
- What This Skill Provides
- Core Capabilities
- Usage Patterns
- Basic Pipeline Setup
- Production Workflow
- Best Practices
- Pipeline Design
- Data Management
- Model Operations
- Deployment Strategies
- Integration Points
- Orchestration Tools
What does the mlops-dag-builder skill do?
Design DAG-based MLOps pipeline architectures with Airflow, Dagster, Kubeflow, or Prefect. Activates for DAG orchestration, workflow automation, pipeline design patterns, CI/CD for ML. Use for platform-agnostic MLOps infrastructure - NOT for SpecWeave increment-based ML (use ml-pipeline-orchestrator instead).
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill mlops-dag-builder --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.