OpenClaw Training Course

OpenClaw Foundations and Safety Model

• Understanding what OpenClaw is, its limitations, and appropriate use cases
• Core concepts: agents, tools, skills, memory, connectors, and approval workflows
• Corporate considerations: data sensitivity, environment separation, and safe defaults

Setup, Configuration, and First Agent Run

• Prerequisites verification: Node.js, Git, API keys, and workspace directories
• Install OpenClaw, verify the installation, and familiarise yourself with the project structure
• Connect an LLM provider, configure core settings, and validate connectivity
• Execute a starter agent starting with read-only actions, then progressing to controlled write operations

Using Built-in Tools and Reliable Prompting

• Working with common tools: file management, shell commands, and simple web tasks
• Prompting strategies for predictable execution: constraints, step plans, and confirmations
• Reviewing agent outputs, tool calls, and traces to identify issues early

Skills and Memory in Practice

• Adding and configuring skills for repeatable workflows
• Memory fundamentals: determining what should be stored, what should not, and how to reset safely
• Practical exercise: build a small workflow that utilises memory carefully (with a clear termination condition)

Building and Testing a Custom Skill

• Skill structure, inputs and outputs, and how OpenClaw discovers and executes skills
• Implement a business-oriented skill (example: summarise a folder of reports and produce a concise brief)
• Testing methodology: sample inputs, expected outputs, error handling, and documentation

Integrations, Operations, and Next Steps

• Integration patterns: chat and ticket workflows within a secure sandbox environment
• Designing a repeatable automation flow: triggers, actions, reviews, approvals, and handoffs
• Operational essentials: logging, auditability, configuration management, and a pilot readiness checklist