The goal is not "fully configured"
When you first touch OpenClaw, the goal is not to assemble the biggest possible setup. The goal is to reach a point where it can handle one real task in a way you can observe and trust.
That usually means four steps:
- Install OpenClaw
- Connect one channel you actually use
- Add a few starter skills
- Run a real task
OpenClaw at a glance
319K+
GitHub Stars
5,700+
Community Skills
12
Channels
MIT
License
Install and initialize
curl -fsSL https://openclaw.ai/install.sh | bash
openclaw onboard --install-daemon
Verify:
openclaw --version
openclaw gateway status
openclaw doctor
Connect one channel
OpenClaw supports 12 channels: WhatsApp, Telegram, Discord, Slack, Feishu, DingTalk, Signal, iMessage, Microsoft Teams, Google Chat, Matrix, and WebChat.
openclaw channels add
Pick the one you actually use daily.
Add starter skills
openclaw skills install @clawhub/web-search
openclaw skills install @clawhub/browser
openclaw skills install @clawhub/summarize
ClawHub has 5,700+ community skills with verified badges for quality assurance.
Keep the first loop small
The fastest early win comes from a narrow scope:
- one environment
- one channel
- a few starter skills
- one real workflow
If you try to add local models, multiple channels, and a large skill set at the same time, you lose the ability to tell which layer is failing.
What "useful" looks like
For a first pass, "useful" can be modest:
- summarizing a document
- reading a web page
- updating a file
- sending a result back to chat
Once one of those works reliably, you have a foundation worth expanding.
What to avoid in week one
- broad permissions you cannot explain
- too many third-party skills
- multiple channels at once
- complex automation before the basics are stable
Run a security audit before expanding:
openclaw security audit --deep
- If you hit a real issue, use GitHub Issues.