Deploying AI agents does not have to be hard. You can run OpenClaw agents on cloud VMs, bare metal, or managed platforms. This guide helps you pick the right setup.
You can also use CLI, API, or MCP to manage your agents. Each method has its own trade-offs. Learn what works best for your team.
Global
mkdir -p ~/.claude/skills/aracli-deploy-managementProject
mkdir -p .claude/skills/aracli-deploy-managementSource Repository
Find Skillsvercel-labs/skills
Find and install the perfect skill to extend your AI agent
Microsoft Foundrymicrosoft/azure-skills
Build, deploy, and improve AI agents on Microsoft Foundry from start to finish
Azure Aimicrosoft/azure-skills
Search, transcribe, and analyze with Azure AI tools for smarter apps
Azure Hosted Copilot Sdkmicrosoft/azure-skills
Build, deploy, and manage your Copilot SDK apps on Azure with ease
Triagemattpocock/skills
Triage issues with a state machine driven by clear roles and agent briefs
Handoffmattpocock/skills
Hand off your work to another AI agent with a clear summary
Image Editagentspace-so/runcomfy-agent-skills
Smart router picks the best AI model for your image editing needs
Agentspaceagentspace-so/skills
See your AI agent's live folder from any browser instantly