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 default settings.

Setup, Configuration, and First Agent Run

• Prerequisites check: Node.js, Git, API keys, and workspace directories.
• Installing OpenClaw, verifying the installation, and understanding the project structure.
• Connecting an LLM provider, setting core configuration, and validating connectivity.
• Running a starter agent with read-only actions initially, then introducing controlled write operations.

Using Built-in Tools and Reliable Prompting

• Working with common tools: file handling, shell commands, and simple web tasks.
• Prompting patterns for consistent 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: determining what data should be stored, what should not, and how to reset safely.
• Practical exercise: building a small workflow that carefully uses memory (with a clear stop condition).

Building and Testing a Custom Skill

• Skill structure, inputs and outputs, and how OpenClaw discovers and executes skills.
• Implementing a small business-oriented skill (example: summarizing a folder of reports and generating a brief).
• Testing approach: sample inputs, expected outputs, error handling, and documentation.

Integrations, Operations, and Next Steps

• Integration patterns: chat and ticket workflows within 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.