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 isolation, and safe default settings

Setup, Configuration, and Initial Agent Execution

• Prerequisite verification: Node.js, Git, API keys, and workspace directories
• Installing OpenClaw, validating the setup, and understanding the project structure
• Connecting an LLM provider, configuring core settings, and verifying connectivity
• Launching a starter agent with read-only actions initially, followed by controlled write operations

Leveraging Built-in Tools and Effective Prompting

• Interacting with standard tools: file systems, shell commands, and basic web tasks
• Prompting strategies for consistent execution: constraints, step-by-step plans, and confirmations
• Analyzing agent outputs, tool invocations, and traces to identify issues early

Practical Application of Skills and Memory

• Adding and configuring skills for reproducible workflows
• Memory fundamentals: identifying what to store, what to exclude, and how to reset safely
• Practical exercise: creating a small workflow that utilizes memory carefully (with a defined termination condition)

Developing and Testing Custom Skills

• Skill architecture, input/output handling, and the mechanism by which OpenClaw detects and executes skills
• Implementing a business-focused skill (e.g., summarizing a directory of reports into a concise brief)
• Testing methodologies: sample inputs, expected outcomes, error handling, and documentation

Integrations, Operations, and Future Directions

• Integration strategies: managing chat and ticket workflows within a secure sandbox environment
• Designing repeatable automation flows: triggers, actions, reviews, approvals, and handoffs
• Operational essentials: logging, audit trails, configuration management, and pilot readiness checklists