OpenClaw Training Course

OpenClaw Foundations and Safety Model

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

Setup, Configuration, and Initial Agent Execution

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

Using Built-in Tools and Reliable Prompting

• Working with common tools: file operations, 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.

Practical Application of Skills and Memory

• Adding and configuring skills for repeatable workflows.
• Memory fundamentals: determining what to store, what to avoid, and how to reset safely.
• Practical exercise: building a small workflow that uses memory carefully (with a defined stop condition).

Developing and Testing a Custom Skill

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

Integrations, Operations, and Next Steps

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