OpenClaw Training Course

OpenClaw Foundations and Safety Model

• Understanding what OpenClaw is, what it is not, and its ideal use cases.
• Core concepts: agents, tools, skills, memory, connectors, and approval processes.
• Corporate considerations: data sensitivity, environment separation, and safe default configurations.

Setup, Configuration, and First Agent Run

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

Using Built-in Tools and Reliable Prompting

• Working with standard tools: file manipulation, shell commands, and basic web tasks.
• Prompting patterns for predictable execution: constraints, step plans, and confirmations.
• Reviewing agent outputs, tool calls, and traces to identify and resolve issues early.

Skills and Memory in Practice

• Adding and configuring skills for repeatable workflows.
• Memory basics: determining what should be stored, what should not, and how to reset safely.
• Practical exercise: building a small workflow that utilizes memory carefully (including clear stop conditions).

Building and Testing a Custom Skill

• Understanding skill structure, inputs/outputs, and how OpenClaw discovers and executes skills.
• Implementing a business-oriented skill (e.g., summarizing a folder of reports to produce a brief).
• Testing methodology: 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 repeatable automation flows: triggers, actions, reviews, approvals, and handoffs.
• Operational essentials: logging, auditability, configuration management, and a pilot readiness checklist.