Openclaw Onboarding

What This Skill Does

The OpenClaw Onboarding skill is a specialized agent framework designed to drastically reduce the learning curve for new OpenClaw users. Created by binson1994, this skill serves as an interactive mentor that guides users through the core functionalities of the OpenClaw AI agent. Rather than relying on documentation alone, this skill engages the user in a hands-on, 5-10 minute training program that turns abstract features into practical, actionable knowledge.

It covers the essential pillars of the OpenClaw ecosystem: personalized configuration, effective information retention through the memory module, skill discovery and autonomous installation, and group chat analysis. By the end of the onboarding process, users gain the confidence to manage their agent effectively, understand how to install new tools, and leverage memory features to create a personalized AI experience.

Installation

To integrate this onboarding assistant into your OpenClaw environment, use the ClawHub command-line interface. You can install it locally using your local directory path or directly from the official skill registry. For a local installation, run: clawhub install ./openclaw-onboarding --local. For a standard installation from the remote repository, execute: clawhub install openclaw/skills/skills/binson1994/openclaw-onboarding. Once the installation is complete, the trigger keywords will be immediately active in your agent console.

Use Cases

This skill is ideal for several scenarios: first-time setup for new users who want a structured introduction; team onboarding where multiple members need to be brought up to speed quickly; and existing users who may have forgotten the full breadth of capabilities available in their environment. It is particularly useful for users who prefer interactive, conversational learning over static manuals.

Example Prompts

1. "开始上手，请带我熟悉一下基本操作。"
2. "记住我每天早上九点开会，你都记住了吗？"
3. "自己学习找技能，帮我安装一个日历管理插件。"

Tips & Limitations

To get the most out of this skill, follow the training modules in the recommended order. Do not skip the configuration step, as the agent's performance in later tasks depends on the preferences you set early on. Note that this skill is primarily educational; while it enables other skills, its main purpose is to facilitate learning. It requires active participation, meaning the agent will wait for your input at each milestone. It does not replace advanced manual configuration but serves as an essential bridge between installation and mastery.