# nyyon-figures

> Use this tool when you need to render editorial diagrams and featured covers locally without relying on network requests. It solves the problem of slow or unreliable image rendering by using a local MCP server to generate images from a spec. Ideal for use cases where offline or high-performance image rendering is required, such as content creation or publishing workflows.

Canonical page: https://skillsregistry.net/skills/levnyyon-nyyon-figures  
JSON: https://api.skillsregistry.net/v1/skills/levnyyon-nyyon-figures

## Description

A local MCP server that renders nyyon's editorial diagrams and featured covers from a spec, without network requests.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lz8fa4uqyt)
- **Repository:** <https://github.com/LevNyyon/nyyon-figures>

## 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": "levnyyon-nyyon-figures"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/levnyyon-nyyon-figures` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/levnyyon-nyyon-figures/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