zw008

Vmware AIOps — Data skill for Claude Code

Data community intermediate

AI-powered VMware vCenter/ESXi monitoring and operations: inventory queries, health/alarms, VM lifecycle (create, delete, snapshot, clone, migrate), vSAN management, Aria Operations analytics.

How to install Vmware AIOps

This entry records only its repository, not the path inside it, so there is no exact command to give. Open zw008/VMware-AIops and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Vmware AIOps does

AI-powered VMware vCenter/ESXi monitoring and operations: inventory queries, health/alarms, VM lifecycle (create, delete, snapshot, clone, migrate), vSAN management, Aria Operations analytics,...

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README

VMware AIops

English | [中文](README-CN.md)

AI-powered VMware vCenter/ESXi monitoring and operations tool.

**Need read-only monitoring only?** See [VMware-Monitor](https://github.com/zw008/VMware-Monitor) — an independent repository with code-level safety (zero destructive code in the codebase).

[](https://clawhub.ai/skills/vmware-aiops) [](https://skills.sh/zw008/VMware-AIops) [](https://github.com/zw008/VMware-AIops) [](LICENSE)

Quick Install (Recommended)

Works with Claude Code, Cursor, Codex, Gemini CLI, Trae, and 30+ AI agents:

# Via Skills.sh
npx skills add zw008/VMware-AIops

# Via ClawHub
clawhub install vmware-aiops

PyPI Install (No GitHub Access Required)

# Install via uv (recommended)
uv tool install vmware-aiops

# Or via pip
pip install vmware-aiops

# China mainland mirror (faster)
pip install vmware-aiops -i https://pypi.tuna.tsinghua.edu.cn/simple

Claude Code Plugin Install

# Add marketplace
/plugin marketplace add zw008/VMware-AIops

# Install plugin
/plugin install vmware-ops

# Use the skill
/vmware-ops:vmware-aiops

Capabilities Overview

CLI vs MCP: Which Mode to Use

Scenario	Recommended	Why
Local/small models (Ollama, Qwen <32B)	CLI	~2K tokens context vs ~10K for MCP; small models struggle with 31 tool schemas
Token-sensitive workflows	CLI	SKILL.md + Bash tool = minimal overhead
Cloud models (Claude, GPT-4o)	Either	Both work; MCP gives structured JSON I/O
Automated pipelines / Agent chaining	MCP	Type-safe parameters, structured output, no shell parsing

**Rule of thumb**: Use CLI for cost efficiency and small models. Use MCP for structured automation with large models.

Architecture

User (Natural Language)
  ↓
AI CLI Tool (Claude Code / Gemini / Codex / Aider / Continue / Trae / Kimi)
  ↓ reads SKILL.md / AGENTS.md / rules
  ↓
vmware-aiops CLI

...