Argo Workflows DAG Pipeline Builder
SkillFiles & storageConstructs Kubernetes-native workflow DAGs using Argo Workflows CRDs with configurable retry strategies, artifact passing via S3/MinIO, and template composition through WorkflowTemplates and ClusterWorkflowTemplates.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Argo Workflows DAG Pipeline Builder skill
What this skill tells your AI
The instructions your AI receives, as published by agentskillexchange/skills in skills/argo-workflows-dag-pipeline-builder/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 38
- Forks
- 53
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
argo-workflows-dag-pipeline-builder- Source
- github.com/agentskillexchange/skills