Argo Workflows DAG Pipeline Builder
Constructs Kubernetes-native workflow DAGs using Argo Workflows CRDs with configurable retry strategies, artifact passing via S3/MinIO, and template composition through WorkflowTemplates and ClusterWorkflowTemplates.
What it does
Argo Workflows DAG Pipeline Builder
Constructs Kubernetes-native workflow DAGs using Argo Workflows CRDs with configurable retry strategies, artifact passing via S3/MinIO, and template composition through WorkflowTemplates and ClusterWorkflowTemplates.
Installation
Requirements and caveats from upstream:
- Including for Python users through the Hera Python SDK for Argo Workflows.
- Check out our Java, Golang, Python (Hera), and Typescript (Juno) clients.
- Scheduling (affinity/tolerations/node selectors)
Basic usage or getting-started notes:
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Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes.
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Cloud agnostic and can run on any Kubernetes cluster.
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Extracted from upstream docs: https://raw.githubusercontent.com/argoproj/argo-workflows/HEAD/README.md
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,175 chars)