# lp-section-studio

> lp-section-studio — yoggydev-lp-section-studio. Use this tool when you need to quickly integrate production-ready UI components into your project, solving issues with accessibility, keyboard navigation, and visual consistency. The lp-section-studio offers 880 pre-built components, 397 of which can be used as plain HTML, with automated checks for accessibility, keyboard, contrast, and overflow. It provides a convenient interface for AI coding agents to pull components directly via an MCP server, streamlining development workflows.

Canonical page: https://skillsregistry.net/skills/yoggydev-lp-section-studio  
JSON: https://api.skillsregistry.net/v1/skills/yoggydev-lp-section-studio

## Description

880 production-ready UI components. 397 of them work as plain HTML with no React, no build step. MIT licensed and free, with an MCP server so AI coding agents can pull components directly. Every component passes automated a11y, keyboard, contrast and overflow checks.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/yoggydev/lp-section-studio)

## 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": "yoggydev-lp-section-studio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yoggydev-lp-section-studio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yoggydev-lp-section-studio/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