# Carbono

> Use this tool when you need to generate images programmatically using HTML descriptions, leveraging Tailwind CSS and DaisyUI for styling, to produce PNG images as output. It solves problems in automated image creation, prototyping, and design iteration, allowing for flexible and customizable image generation. Ideal for use cases where dynamic image rendering is required, such as web development, graphic design, and digital content creation.

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

## Description

Enables AI to generate images by describing them with HTML using Tailwind CSS and DaisyUI, which are rendered to PNG images.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/edyfdh1rhg)
- **Repository:** <https://github.com/dinnger/mcp-carbono>

## 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": "dinnger-mcp-carbono"
    }
  }
}
```

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