Argo Workflows Deployer
SkillCloud & infraThis skill lets your AI run and manage software deployments using Argo tools. Once added, your AI can orchestrate deployment pipelines and roll out new versions safely with canary or blue-green strategies, so updates reach users gradually instead of all at once.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, tell your AI which deployment to run or update and which release strategy you want. Your AI will then orchestrate the pipeline for you.
Then ask your AI: use the Argo Workflows Deployer skill
What your AI can do with it
- Run deployment pipelines through the Argo Workflows engine
- Manage application deployments with the Argo CD ApplicationSet controller
- Release new versions gradually with canary rollouts
- Switch between old and new versions using blue-green deployments
What this skill tells your AI
The instructions your AI receives, as published by agentskillexchange/skills in skills/argo-workflows-deployer/SKILL.md and read by ahel’s review.
Orchestrates deployment pipelines using the Argo Workflows Engine API and Argo CD ApplicationSet controller. Implements progressive delivery with Argo Rollouts canary and blue-green strategies.
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-deployer- Source
- github.com/agentskillexchange/skills