# Orcool Studio

> Use this tool when you need to streamline ad creation and optimize marketing strategies. Orcool Studio solves the problem of lengthy ad development timelines by providing a self-service creative engine that utilizes market-signal feeds and expert-judged narratives to produce winning ads quickly. It takes in market signals and narrative inputs, outputting optimized ad strategies through its Brand Lens interface.

Canonical page: https://skillsregistry.net/skills/ryss30-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ryss30-mcp

## Description

Self-service creative engine: a living market-signal feed, narratives your experts judge, and a Brand Lens that gets you to a winning ad faster. Sold as time-to-winner, not video volume.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jrkkyzoy8d)
- **Repository:** <https://github.com/ryss30/mcp>

## 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": "ryss30-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ryss30-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ryss30-mcp/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