Use Case
Vector Control isn't just for solo use — teams can share skills and build consistent AI workflows across the organization. Control a Vector robot via Wirepod’s local HTTP API on the same network. Use when you need to move Vector, tilt head/lift, speak text, capture camera frames, or run patrol/explore routines from the Pi/Wirepod host. Includes a CLI helper script and endpoint reference. This guide covers how to deploy Vector Control for your team, standardize prompts, and create shared workflows that everyone can use.
Install Vector Control in your project directory: .claude/skills/vector-control/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Vector Control in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Vector Control
How can my team use Vector Control together?
Set up Vector Control for our project so everyone can use it
Create a shared workflow using Vector Control for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install vector-controlOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install vector-control⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/vector-control/💡Extract and place the folder at the path above, then restart your agent.