mlops-dag-builder
CommunityDesign DAG-based ML pipelines across platforms.
Authoranton-abyzov
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Guides building platform-agnostic, DAG-based MLOps pipelines (Airflow, Dagster, Kubeflow, Prefect) and lays out templates for end-to-end ML workflows.
Core Features & Use Cases
- Architecture guidance for data preparation, training, validation, and deployment
- Reference docs in references/ (data-preparation, model-training, model-validation, model-deployment)
- Asset templates (pipeline-dag.yaml.template, training-config.yaml, validation-checklist.md)
- Integration guidance for experiment tracking and CI/CD
Quick Start
Define a basic DAG with stages: data_ingestion → data_validation → model_training → model_deployment.
Dependency Matrix
Required Modules
None requiredComponents
referencesassets
💻 Claude Code Installation
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Please help me install this Skill: Name: mlops-dag-builder Download link: https://github.com/anton-abyzov/specweave/archive/main.zip#mlops-dag-builder Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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