# VectorClaw

> Use this tool when you need to control Anki Vector robots locally using natural language, enabling speech, motion, and interaction capabilities without relying on cloud services. VectorClaw solves problems of cloud dependency and limited local control, providing a seamless interface for AI assistants to interact with the robot. It accepts natural language inputs and outputs robot actions, making it ideal for use cases requiring local, autonomous robot control.

Canonical page: https://skillsregistry.net/skills/danmartinez78-vectorclaw  
JSON: https://api.skillsregistry.net/v1/skills/danmartinez78-vectorclaw

## Description

Enables AI assistants to control Anki Vector robots locally via natural language, providing tools for speech, motion, perception, and interaction without cloud dependency.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wairuf27ch)
- **Repository:** <https://github.com/danmartinez78/VectorClaw>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "danmartinez78-vectorclaw"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danmartinez78-vectorclaw` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danmartinez78-vectorclaw/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
