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.
Install
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/argo-workflows-dag-pipeline-builder
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart
git clone https://github.com/agentskillexchange/skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole agentskillexchange/skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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:
Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes.
Cloud agnostic and can run on any Kubernetes cluster.
Extracted from upstream docs: https://raw.githubusercontent.com/argoproj/argo-workflows/HEAD/README.md
Source
Files (skills)
-
SKILL.md 1.7 KB
--- name: "Argo Workflows DAG Pipeline Builder" slug: "argo-workflows-dag-pipeline-builder" description: "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." github_stars: 16600 verification: "security_reviewed" source: "https://github.com/argoproj/argo-workflows" author: "argoproj" category: "Templates & Workflows" framework: "MCP" tool_ecosystem: github_repo: "argoproj/argo-workflows" github_stars: 16600 --- # 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](https://hera.readthedocs.io/en/stable/). - Check out our [Java, Golang, Python (Hera), and Typescript (Juno) clients](docs/client-libraries.md). - Scheduling (affinity/tolerations/node selectors) Basic usage or getting-started notes: - Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. - Cloud agnostic and can run on any Kubernetes cluster. - [Get started here](https://argo-workflows.readthedocs.io/en/latest/quick-start/) - Source: https://github.com/argoproj/argo-workflows - Extracted from upstream docs: https://raw.githubusercontent.com/argoproj/argo-workflows/HEAD/README.md ## Source - [Agent Skill Exchange](https://agentskillexchange.com/skills/argo-workflows-dag-pipeline-builder/)
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