vmware-avi skill for OpenClaw
What this skill does
Use this skill whenever the user mentions load balancing, ingress, virtual services, pool members, AVI, NSX ALB, AKO, or application delivery in a VMware/NSX ALB or Tanzu/vSphere Kubernetes context. Directly handles: virtual service listing and enable/disable, pool member drain/enable, SSL certificate expiry checks, analytics and error logs, service engine health, AKO pod troubleshooting, AKO Helm config management, Ingress annotation validation, K8s-to-Controller sync diagnostics, and multi-cluster AKO overview. Always use it for "virtual service", "pool member", "AKO status", "AKO logs", "ingress diagnose", "ssl expiry", "load balancer", "NSX ALB", "AVI controller", "Avi Load Balancer", "AKO sync", or "负载均衡" tasks. Do NOT use to set up or configure nginx/HAProxy/Traefik from scratch — those are not AVI tasks. For VM lifecycle use vmware-aiops, for NSX networking use vmware-nsx, for Kubernetes cluster lifecycle (Supervisor/TKC) use vmware-vks.
The vmware-avi skill is part of the Automation & Workflows category — automation and workflow skills that schedule, trigger, and orchestrate tasks. You can install it on its own or alongside other automation & workflows skills from the OpenClaw catalog.
How to install the vmware-avi skill
The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:
- Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
- Open the in-app Skills panel.
- Search for
vmware-aviand click Install. - The skill activates automatically when an incoming message matches its description.
Install from the command line
If you already run the OpenClaw CLI, add the vmware-avi skill with a single command:
openclaw skills add vmware-avi
This pulls vmware-avi from ClawHub and installs it into ~/.openclaw/skills/vmware-avi/. Restart the OpenClaw gateway afterwards so the new skill is discovered.
How to use the vmware-avi skill
Once installed, the vmware-avi skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.
Manual install (advanced)
If you prefer manual installation:
- Click the Download skill .zip button above to grab
vmware-avi-1.11.0.zipdirectly from our S3 mirror. - Unzip into
~/.openclaw/skills/vmware-avi/(create the directory if it does not exist). - Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.
Frequently asked questions
How do I install vmware-avi?
Install vmware-avi in the OpenClaw Easy desktop app by opening the Skills panel, searching for vmware-avi, and clicking Install. From a terminal you can run: openclaw skills add vmware-avi. Either way the skill is placed in ~/.openclaw/skills/vmware-avi/.
Is the vmware-avi skill free?
Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.
What does vmware-avi do?
Use this skill whenever the user mentions load balancing, ingress, virtual services, pool members, AVI, NSX ALB, AKO, or application delivery in a VMware/NSX ALB or Tanzu/vSphere Kubernetes context.
Related: more automation & workflows skills
If the vmware-avi skill looks useful, you may also want to check out other automation & workflows skills in the OpenClaw catalog:
Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.
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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models