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 mechanisms.
• Corporate considerations: data sensitivity, environment isolation, and safe default settings.

Setup, Configuration, and First Agent Run

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

Using Built-in Tools and Reliable Prompting

• Working with common tools: file systems, shell commands, and basic web tasks.
• Prompting patterns for predictable execution: constraints, step-by-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 essentials: determining what to store, what to avoid, 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 executes skills.
• Implement a small business-oriented skill (example: summarize a folder of reports and produce a brief summary).
• 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.