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.
Data sourced from ClawHub. View on ClawSkills
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.
Category
📣Marketing & GrowthPlatforms
What Vector Control can do for your AI workflow
Vector robot via wirepod’s directly from your Claude conversation
Works across Claude, Cursor, OpenClaw — install once, use everywhere
Trusted by 1,832+ developers worldwide
One-command installation — no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Vector Control
Help me get started with Vector Control
Explains what Vector Control does, walks through the setup, and runs a quick demo based on your current project
Use Vector Control to control a Vector robot via Wirepod’s local HTTP API on the same net...
Invokes Vector Control with the right parameters and returns the result directly in the conversation
What can I do with Vector Control in my marketing & growth workflow?
Lists the top use cases for Vector Control, with example commands for each scenario
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Vector Control extends your AI assistant with the ability to 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. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Vector Control as its underlying capability.
Vector Control works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Vector Control once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Vector Control installs like any other MCP skill: drop the folder into `~/.claude/skills/vector-control/` for global access, or `.claude/skills/vector-control/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/vector-control`, or let the AI decide when it's the right tool for your request.
Vector Control has been installed 1,832 times, making it one of the more actively used skills in the Marketing & Growth category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/vector-control/ for personal use (all projects), or .claude/skills/vector-control/ for project-specific use. Restart your AI client, then invoke with /vector-control or let the AI discover it automatically.
Vector Control supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Vector Control is free to install. Check the repository for licensing information.
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.
vector-memory
Smart memory search with automatic vector fallback. Uses semantic embeddings when available, falls back to built-in search otherwise. Zero configuration - works immediately after ClawHub install. No setup required - just install and memory_search works immediately, gets better after optional sync.
Vector Memory Hack
Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <10ms search time.
Automate my marketing & growth tasks using Vector Control
Identifies repetitive steps in your workflow and sets up Vector Control to handle them automatically
Vector Control is categorized under Marketing & Growth. These skills help AI agents perform specialized tasks in this domain.
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