# StyleSpeak

> StyleSpeak — patrizzos-stylespeak. Use this tool when you need to make CSS styles understandable to AI agents, as it resolves cascades, traces properties, and provides explanations for applied styles. StyleSpeak simplifies AI interactions with CSS by breaking down complex style rules and modifications. It is ideal for use cases where AI agents need to modify or generate CSS styles, such as web development, design automation, or content generation.

Canonical page: https://skillsregistry.net/skills/patrizzos-stylespeak  
JSON: https://api.skillsregistry.net/v1/skills/patrizzos-stylespeak

## Description

A companion MCP server that makes CSS legible to AI agents by resolving cascade, tracing properties, and explaining what applies and why before an agent modifies styles.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pihskwn7oi)
- **Repository:** <https://github.com/Patrizzos/StyleSpeak>

## 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": "patrizzos-stylespeak"
    }
  }
}
```

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