# renderkit

> renderkit — antoinedc-renderkit. Use this tool when you need to visually represent structured data in a user-friendly format or collect data through customizable forms. Renderkit solves problems of data visualization and collection by generating hosted web pages and forms, accepting structured data as input and producing interactive web pages as output. It is ideal for use cases where data needs to be presented in an aesthetically pleasing way or when online forms are required for data collection.

Canonical page: https://skillsregistry.net/skills/antoinedc-renderkit  
JSON: https://api.skillsregistry.net/v1/skills/antoinedc-renderkit

## Description

Render structured data as beautiful hosted web pages, and create hosted forms for data collection.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/antoinedc-renderkit)

## 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": "antoinedc-renderkit"
    }
  }
}
```

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