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Course Outline
OpenClaw Foundations and Safety Model
- Overview of OpenClaw: its capabilities, limitations, and appropriate use cases for government
- Key Concepts: agents, tools, skills, memory, connectors, and approval processes
- Considerations for Government Operations: data security, environment segregation, and default safety measures
Setup, Configuration, and First Agent Run
- Prerequisites Check: Node.js, Git, API keys, and workspace directories for government use
- Installation of OpenClaw: verification steps and understanding the project structure for government operations
- Connecting a Language Model Provider: setting core configurations and validating connectivity for government systems
- Executing a Starter Agent: initiating with read-only actions followed by controlled write actions to ensure security in government environments
Using Built-in Tools and Reliable Prompting
- Utilizing Common Tools: file management, shell commands, and basic web tasks for government applications
- Effective Prompting Techniques: establishing constraints, step plans, and confirmations to ensure predictable execution in government operations
- Review of Agent Outputs: monitoring tool calls and traces to identify and address issues early in government workflows
Skills and Memory in Practice
- Adding and Configuring Skills: creating repeatable workflows for government tasks
- Memory Management: determining what data to store, what to exclude, and safe methods for resetting memory in government systems
- Practical Exercise: developing a small workflow that utilizes memory judiciously with a clear stop condition for government use
Building and Testing a Custom Skill
- Skill Development: structure, inputs, outputs, and discovery processes in OpenClaw for government applications
- Implementation Example: creating a business-oriented skill (e.g., summarizing a folder of reports and generating a concise brief) for government use
- Testing Methodology: sample inputs, expected outputs, error handling, and comprehensive documentation for government operations
Integrations, Operations, and Next Steps
- Integration Strategies: incorporating chat and ticket workflows within a secure sandbox environment for government
- Designing Repeatable Automation Flows: defining triggers, actions, reviews, approvals, and handoffs in government processes
- Operational Fundamentals: logging, auditability, configuration management, and a pilot readiness checklist for government deployment
Requirements
- Proficiency with fundamental command line operations (directories, paths, environment variables)
- Capability to install and execute development tools on your workstation (Git, Node.js)
- Foundational knowledge of JavaScript or scripting languages (ability to read and make minor modifications)
Audience
- Developers and automation engineers interested in creating AI-driven assistants and internal tools for government
- IT and operations professionals seeking to automate repetitive support and administrative tasks
- Technical product owners and team leads assessing self-hosted AI agent solutions
7 Hours
