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Understand local vs. online LLMs, APIs, and cost implications
Distinguish agents from chatbots; understand tool use and reasoning
Navigate the OpenClaw workspace, security, and privacy model
Configure agent personality and user context files
Manage persistent memory effectively and securely
Set up environment-specific agent settings
Record, create, and run reusable agent skills
Locate and modify agent files via editor and Slack
First-time setup: reading SOUL.md and tailoring to your role
Master Slack-based and Dashboard interactions
Grant your agent access to files across platforms
Write effective agentic prompts with planning and boundaries
Identify and recover from common agent errors
Schedule automated tasks and monitor API cost
Classify data sensitivity before sharing with your agent
Keep MEMORY.md clean and compliant
Spin up isolated sub-agents for Red-level data processing
Apply the screen-share mental model to AI data decisions
How agents plan, act, observe, and adjust in multi-step tasks
Delegate tasks to sub-agents for efficiency
Enforce model segregation and memory isolation
Treat your agent as a Chief of Staff, not a typist
Execute a full agent workflow in a staging environment
