OpenClaw Skills and Automation · Live · April 26

OpenClaw Skills and Automation — Extend Your Private AI Assistant

OpenClaw skills are what transform a basic AI assistant into a genuinely useful one. This live workshop shows you how to configure and extend OpenClaw with skills and automation — so your private AI assistant does more than just answer questions.

Sunday, April 26 9am to 1pm EDT

4 Hours Hands-on coding

Live Online Interactive

Workshop Details

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Date and Time

Sunday, April 26, 2026

9:00am to 1:00pm EDT

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Duration

4 Hours · Hands-on

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Format

Live Online · Interactive

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Includes

Certificate of Completion

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Privacy

100% Local · No Cloud Required

By Packt Publishing · Refunds up to 10 days before

About This OpenClaw Skills and Automation Workshop

Why OpenClaw Skills and Automation Make All the Difference

Without skills, OpenClaw is a conversation interface. With skills, it becomes a personal automation system — scheduling tasks, setting reminders, querying data, and taking actions on your behalf entirely locally.

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What is OpenClaw?

OpenClaw is the open-source personal AI assistant that went viral in early 2026 with 200K+ GitHub stars. It runs on your own devices and connects to WhatsApp, Telegram, Slack and more. No subscription. No data leaving your machine.

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What is Docker Model Runner?

Docker Model Runner is Docker's native feature for running large language models locally on your machine. It gives you an OpenAI-compatible API that OpenClaw uses as its AI brain — complete data privacy, no cloud costs.

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Why Combine OpenClaw and Docker?

OpenClaw gives you the assistant interface and messaging integrations. Docker Model Runner gives you the AI brain running privately on your machine. Together they create a production grade private AI assistant you fully own.

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Why Attend as a Live Workshop?

Setting this up from scattered documentation takes days of debugging. This live workshop gives you a complete guided build in 4 hours with a live instructor answering your questions. Packt has delivered 108 workshops worldwide.

OpenClaw Skills and Automation Curriculum

What You Will Learn About OpenClaw Skills and Automation

Six modules covering everything from basic OpenClaw setup to advanced skills and automation configuration.

How OpenClaw Works

Understand the Gateway, channels, and skills architecture. Set up and configure OpenClaw locally from scratch.

Docker Model Runner Setup

Run and manage local LLMs using Docker Model Runner. Pull models, configure memory, and understand the OpenAI-compatible API.

Security and Privacy

Configure DM pairing, allowlists, sandbox mode, and proper access controls for your local AI deployment.

Connect to WhatsApp or Telegram

Deploy your AI assistant to real messaging platforms without sending data to any third party cloud service.

Scalable Architecture

Design an extensible assistant architecture. Add skills, configure personality, and set up proactive automation.

Production Deployment

Deploy your OpenClaw and Docker setup to a VPS for always-on availability running 24 hours a day.

What You Walk Away With

By the End of This OpenClaw Skills and Automation Workshop You Will Have

A fully configured OpenClaw assistant with working skills and automation.

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A fully functional local AI assistant running on your machine

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Docker Model Runner configured with your chosen LLM model

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OpenClaw connected to WhatsApp or Telegram

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Security and privacy configuration you can trust

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A reusable architecture for future AI assistant projects

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Certificate of completion from Packt Publishing

Your Instructor

Learn OpenClaw Skills and Automation From a Real Expert

A practitioner who has built and deployed OpenClaw with custom skills in production.

Rami Krispin

Workshop Instructor · April 26, 2026

Rami is a Senior Manager of Data Science and Engineering, Docker Captain, and LinkedIn Learning Instructor with deep expertise in building and deploying production AI systems. He guides you step by step from a blank terminal to a fully deployed private AI assistant — answering your questions live throughout the 4-hour session.

Frequently Asked Questions

Common Questions About OpenClaw Skills and Automation

Everything you need to know about extending OpenClaw with skills and automation.

What are OpenClaw skills and how do they work? +

OpenClaw skills are modular capabilities that extend what your private AI assistant can do. Skills can schedule tasks, query external data sources, set reminders, send notifications, and automate workflows. In this workshop you will learn how to configure existing skills and understand the architecture for building custom ones.

Can I build custom OpenClaw skills in this workshop? +

This workshop covers the OpenClaw skills architecture and how to configure and extend existing skills. The instructor covers the patterns and structure you need to build your own custom skills after the session, starting from the knowledge gained in the live 4-hour workshop.

What kinds of automation can I build with OpenClaw skills? +

With OpenClaw skills you can automate tasks like scheduled reminders, data lookups, API integrations, file operations, and proactive notifications sent to your WhatsApp or Telegram. This workshop covers the core automation patterns with practical examples.

Do OpenClaw skills require internet access? +

OpenClaw skills can be configured to work entirely offline or to access specific external services depending on what you build. The AI reasoning in this workshop is powered by Docker Model Runner locally — skills that query external APIs will require internet access only for those specific calls.

Can OpenClaw skills run on a schedule automatically? +

Yes. OpenClaw supports proactive automation and scheduled tasks. This workshop covers how to configure skills to run automatically on a schedule — so your private AI assistant can send you morning summaries, reminders, or automated reports through WhatsApp or Telegram.

Is this workshop focused on the skills configuration or on the initial OpenClaw setup? +

This workshop covers both. The first two modules cover OpenClaw and Docker Model Runner setup for participants who are new. Modules three through six focus specifically on skills configuration, automation patterns, and extending your private AI assistant with custom capabilities.