Hey there, My top two priorities for OpenClaw are, obviously, getting the job done, but also doing it while keeping token usage to a strict minimum so I don't blow my LLM budget. By using a local model and digging into the logs, I realized that the sheer number of skills and tools available to the agent was massively bloating my request context. After feeding those logs into Gemini, I spotted a bunch of unnecessary tools and skills that had nothing to do with my specific task. That got me thinking: it would be way more efficient to create task-specific agents by hand-picking only the tools they actually need. For some tasks, I managed to cut the token count by almost 10x! I’d love to know—what are your main strategies for optimizing token consumption?

Hi everyone, William from France I installed OpenClaw on a dedicated Mac Mini a few weeks ago, and I’m starting to hit a wall in terms of my progress. I spend quite a few evenings on it (whenever my kids give me some free time!) to automate tasks like summarizing information sources, managing emails, and handling my weekly grocery list. I’m passionate about the subject and trying to keep up with the frantic pace of AI to find interesting use cases for my work as a manager as well. I’m convinced that being part of a community will make this journey even more exciting!

If you just joined — start here. This is the foundation everything else builds on. Jump to the course Here's what's available right now: Module 0 — First Steps: Before your agent does anything, read this. Covers what OpenClaw actually is, how to think about it before you configure anything, and the decisions that shape everything downstream. Then pick your setup path: - Install on Zo.computer (VPS) — recommended if you want automations running 24/7 - Install on your local machine — fastest way to get started today - Run the setup wizard - Full OpenRouter walkthrough — connecting all models through one API key Module 1 — Core Setup: Connecting Telegram so your agent can reach you. Then fixing the security issues that most people skip — before they become problems. Module 2 — Getting to Know Your Agent: The onboarding process that actually works. How to introduce yourself to your OpenClaw so it understands your work, your goals, and how you think. This is what separates a generic agent from one that feels like yours. Module 3 — Installing Skills: The full Clawhub skills guide. What to install, what to avoid, and the 4-step protocol before you run anything on your machine. Module 4 — Email: Setting up Agentmail and giving your agent its own inbox. Why Gmail is the wrong choice and what to use instead.