# Pixl

> Pixl — ishk9-pixl. Use this tool when you need to streamline mobile UI design and development, as it solves problems of inefficient design workflows and coding errors by providing a guided design tool with features like design interviews, token contracts, and local browser preview, accepting design inputs and outputting optimized UI designs. It takes in design requirements and specifications, and outputs locally previewed and validated mobile UI designs. Use Pixl in contexts where rapid and accurate mobile UI development is crucial.

Canonical page: https://skillsregistry.net/skills/ishk9-pixl  
JSON: https://api.skillsregistry.net/v1/skills/ishk9-pixl

## Description

Turns AI coding hosts into a guided mobile-UI design tool with design interviews, token contracts, linters, and local browser preview.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cp8ei8gfg3)
- **Repository:** <https://github.com/ishk9/pixl>

## 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": "ishk9-pixl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ishk9-pixl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ishk9-pixl/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