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# The Ultimate DevOps AI? OpenClaw Tutorial

**[That DevOps Guy](https://daily.dev/sources/marcel-dempers)** · 21 min read · 1 upvotes · 0 comments

## Summary

OpenClaw is a self-hosted AI agent that runs persistently in the background — in a Docker container, Kubernetes cluster, or home lab — and can be accessed via messaging platforms like Discord, WhatsApp, Telegram, and Slack. Unlike terminal-bound tools such as Claude Code or Copilot, OpenClaw keeps running when you close your terminal. The tutorial walks through installation on Linux via a one-line bash script, the onboarding wizard (configuring an AI model provider, a messaging channel, search provider, and skills), setting up a Discord bot, running the OpenClaw gateway in a container, and using markdown-based skills to provision a local Kubernetes cluster via a Discord message. The control panel UI provides session diagnostics, tool call logs, and agent activity monitoring.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=Xst5EPifJWM>

## Questions this post answers

### How do I set up OpenClaw to work with a Discord bot?

Create a Discord application and bot in the Discord developer portal, enable the required privileged gateway intents, copy the bot token, then generate an OAuth invite URL with bot and applications.commands permissions. During OpenClaw onboarding, select Discord as a channel and set the bot token as an environment variable referenced from the OpenClaw config, then complete DM pairing with the openclaw pairing command.

_Developers wiring agents into chat platforms can track step-by-step setup guides like this on daily.dev._

### What is a skill in OpenClaw and where do skill files live?

A skill in OpenClaw is a markdown file defining instructions and scripts an agent can execute, using the same format as other agent CLIs. Skills can be workspace-specific, placed under the default agents/skills folder for per-agent use, or under openclaw/skills for shared use across agents, with visibility controlled in the OpenClaw JSON config.

_Anyone building portable agent skills across tools can follow practical walkthroughs like this on daily.dev._

### How does OpenClaw differ from terminal-based coding agents like Claude Code or Copilot?

OpenClaw runs as an always-on background agent, typically in a container, Kubernetes cluster, or home lab, rather than being tied to an active terminal or IDE session. It exposes itself through chat channels such as Discord, WhatsApp, Slack, SMS, iMessage, and Telegram, so users can assign tasks and receive results without staying at their computer, unlike terminal-bound tools that stop once the session closes.

_Developers weighing always-on agents against terminal-bound coding assistants can compare approaches on daily.dev._

## Similar posts on daily.dev

- [OpenClaw Full Tutorial for Beginners](https://daily.dev/posts/openclaw-full-tutorial-for-beginners-a1y2rfmsc) · freeCodeCamp · 3 upvotes · 0 comments
- [Use OpenClaw to Make a Personal AI Assistant](https://daily.dev/posts/use-openclaw-to-make-a-personal-ai-assistant-hztrv5xhd) · Towards Data Science · 2 upvotes · 0 comments

---

Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#ai-agents](https://daily.dev/tags/ai-agents), [#docker](https://daily.dev/tags/docker), [#discord](https://daily.dev/tags/discord), [#openclaw](https://daily.dev/tags/openclaw)

[View this post on daily.dev](https://daily.dev/posts/the-ultimate-devops-ai-openclaw-tutorial-igxn8xs3g)

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