OpenClaw Training Course

OpenClaw Foundations and Safety Model

• Understanding what OpenClaw is, what it is not, and when it is an appropriate fit.
• Core concepts: agents, tools, skills, memory, connectors, and approvals.
• Corporate considerations: data sensitivity, environment separation, and safe defaults.

Setup, Configuration, and First Agent Run

• Prerequisites check: Node.js, Git, API keys, and workspace folders.
• Install OpenClaw, verify the installation, and understand the project structure.
• Connect an LLM provider, set core configuration, and validate connectivity.
• Run a starter agent with read-only actions initially, then introduce controlled write actions.

Using Built-in Tools and Reliable Prompting

• Working with common tools: files, shell commands, and simple web tasks.
• Prompting patterns 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 basics: what should be stored, what should not, and how to reset safely.
• Practical exercise: build a small workflow that uses memory carefully (with a clear stop condition).

Building and Testing a Custom Skill

• Skill structure, inputs and outputs, and how OpenClaw discovers and runs skills.
• Implement a small business-oriented skill (example: summarize a folder of reports and produce a short brief).
• Testing approach: sample inputs, expected outputs, error handling, and documentation.

Integrations, Operations, and Next Steps

• Integration patterns: chat and ticket workflows in a safe sandbox environment.
• Designing a repeatable automation flow: trigger, action, review, approvals, and handoff.
• Operational basics: logging, auditability, configuration management, and a pilot readiness checklist.