Claude Skill

Argo Workflows DAG Optimizer

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

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agentskillexchange/skills 45 57 forks MIT Updated 11h ago

Part of agentskillexchange/skills — 249 skills

Install

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

Claude Code

claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install agentskillexchange-skills@llmmart

Git 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 Optimizer

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

Agent Skill Exchange

Files (skills)

SKILL.md 1.6 KB

---
name: "Argo Workflows DAG Optimizer"
slug: "argo-workflows-dag-optimizer"
description: "Analyzes Argo Workflows DAG templates to identify parallelization opportunities. Uses the Argo Server API to fetch workflow execution history and critical path analysis."
github_stars: 16616
verification: "security_reviewed"
source: "https://github.com/argoproj/argo-workflows"
category: "Templates & Workflows"
framework: "Custom Agents"
tool_ecosystem:
  github_repo: "argoproj/argo-workflows"
  github_stars: 16616
---

# Argo Workflows DAG Optimizer

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](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-optimizer/)