# compeller

> Use this tool when you need to streamline live audio-reactive visual workflows and automate media pipelines. Compeller solves problems related to render status tracking, style discovery, and creator workflow efficiency by providing a remote MCP connector. It takes in audio and visual inputs and outputs automated and optimized media pipeline workflows, ideal for use in live performance, video production, and interactive installations.

Canonical page: https://skillsregistry.net/skills/info-nijd-compeller  
JSON: https://api.skillsregistry.net/v1/skills/info-nijd-compeller

## Description

Compeller is a remote MCP connector for live audio-reactive visual workflows, render status tracking, style discovery, and creator media pipeline automation.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/info-nijd/compeller)

## 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": "info-nijd-compeller"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/info-nijd-compeller` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/info-nijd-compeller/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