# tafel

> tafel — parmeet10-tafel. Use this tool when you need to create explainer videos from plain English requests, automating the process of writing and rendering animations. Tafel solves the problem of manually creating video content by generating shareable videos through manim animations. It takes English requests as input and outputs a published, shareable video artifact.

Canonical page: https://skillsregistry.net/skills/parmeet10-tafel  
JSON: https://api.skillsregistry.net/v1/skills/parmeet10-tafel

## Description

MCP server that lets Claude Code create explainer videos from plain English requests by writing and rendering manim animations locally, then publishing the result as a shareable artifact.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/joll7jf4vj)
- **Repository:** <https://github.com/parmeet10/tafel>

## 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": "parmeet10-tafel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/parmeet10-tafel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/parmeet10-tafel/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