Argo Workflows DAG Optimizer
SkillDev toolsAnalyzes 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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What this skill tells your AI
The instructions your AI receives, as published by agentskillexchange/skills in skills/argo-workflows-dag-optimizer/SKILL.md and read by ahel’s review.
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:
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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-optimizer- Source
- github.com/agentskillexchange/skills