git:20260518.471df3d to git:20260710.2925510
12 added, 17 removed. Audit A to B.
---
- name: "Argo Workflows DAG Pipeline Builder"
- slug: "argo-workflows-dag-pipeline-builder"
+ title: "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: "listed"
+ verification: "security_reviewed"
source: "https://github.com/argoproj/argo-workflows"
author: "argoproj"
- category: "Templates & Workflows"
- framework: "MCP"
+ 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/)
+ Choose whichever fits your setup:
- - Source: https://github.com/argoproj/argo-workflows
- - Extracted from upstream docs: https://raw.githubusercontent.com/argoproj/argo-workflows/HEAD/README.md
+ 1. Copy this skill folder into your local skills directory.
+ 2. Clone the repo and symlink or copy the skill into your agent workspace.
+ 3. Add the repo as a git submodule if you manage shared skills centrally.
+ 4. Install it through your internal provisioning or packaging workflow.
+ 5. Download the folder directly from GitHub and place it in your skills collection.
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/argo-workflows-dag-pipeline-builder/)