Control Anki Vector robot via wire-pod. Speak through Vector, see through its camera, move head/lift/wheels, change eye colors, trigger animations. Use when user mentions Vector robot, wants to speak through a robot, control a physical robot, or interact with wire-pod.
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-robotOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install vector-robotβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
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-robot/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¨Design & CreativePlatforms
What Vector-Robot can do for your AI workflow
Anki vector robot via wire-pod directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,672+ developers worldwide
One-command installation β 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-Robot
Help me get started with Vector-Robot
Explains what Vector-Robot does, walks through the setup, and runs a quick demo based on your current project
Use Vector-Robot to control Anki Vector robot via wire-pod
Invokes Vector-Robot with the right parameters and returns the result directly in the conversation
What can I do with Vector-Robot in my design & creative workflow?
Lists the top use cases for Vector-Robot, with example commands for each scenario
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Vector-Robot extends your AI assistant with the ability to control Anki Vector robot via wire-pod. Speak through Vector, see through its camera, move head/lift/wheels, change eye colors, trigger animations. Use when user mentions Vector robot, wants to speak through a robot, control a physical robot, or interact with wire-pod. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Vector-Robot as its underlying capability.
Vector-Robot works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Vector-Robot 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.
To install Vector-Robot, copy the skill folder to `~/.claude/skills/vector-robot/` for use across all your projects, or `.claude/skills/vector-robot/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/vector-robot` or just describe your goal and the AI will pick it up automatically.
Vector-Robot has been installed 1,672 times, making it one of the more actively used skills in the Design & Creative category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. 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-robot/ for personal use (all projects), or .claude/skills/vector-robot/ for project-specific use. Restart your AI client, then invoke with /vector-robot or let the AI discover it automatically.
Vector-Robot supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Vector-Robot is free to install. Check the repository for licensing information.
Control Anki Vector robot via wire-pod. Speak through Vector, see through its camera, move head/lift/wheels, change eye colors, trigger animations. Use when user mentions Vector robot, wants to speak through a robot, control a physical robot, or interact with wire-pod.
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.
Links
Automate my design & creative tasks using Vector-Robot
Identifies repetitive steps in your workflow and sets up Vector-Robot to handle them automatically
Vector-Robot is categorized under Design & Creative. These skills help AI agents perform specialized tasks in this domain.
Vector Control
Control a Vector robot via Wirepodβs 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.