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Argo Workflows DAG Optimizer

Name: Argo Workflows DAG Optimizer
Author: Community

Analyzes Argo Workflows DAG templates to identify parallelization opportunities. Uses the Argo Server API to fetch workflow execution history and critical path analysis.

O que é Argo Workflows DAG Optimizer?

Argo Workflows DAG Optimizer is a Claude Code agent skill that analyzes Argo Workflows DAG templates to identify parallelization opportunities. Uses the Argo Server API to fetch workflow execution history and critical path analysis.

Funciona com~Claude Code~Codex CLI~Cursor

npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/argo-workflows-dag-optimizer

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Documentação

O que Argo Workflows DAG Optimizer faz?

Analyzes Argo Workflows DAG templates to identify parallelization opportunities. Uses the Argo Server API to fetch workflow execution history and critical path analysis.

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.
Get started here
Source: https://github.com/argoproj/argo-workflows
Extracted from upstream docs: https://raw.githubusercontent.com/argoproj/argo-workflows/HEAD/README.md

Source

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