# Fast HTML

> Use this tool when you need to rapidly generate HTML content from AI interactions, solving problems such as slow web development and limited customization options. Fast HTML provides a comprehensive toolkit with generation tools, reusable components, and templates, accepting AI input and producing optimized HTML output. Ideal for use cases requiring swift web output, such as chatbots, virtual assistants, and dynamic web applications.

Canonical page: https://skillsregistry.net/skills/aimino-fast-html  
JSON: https://api.skillsregistry.net/v1/skills/aimino-fast-html

## Description

Generate HTML content from AI agent interactions using a comprehensive toolkit. Provides 15 generation tools, 22 reusable components, and 25 ready-made templates for rapid web output. Install via npm and configure with your preferred MCP client.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aimino-fast-html)
- **Repository:** <https://github.com/aimino-tech/opentalk2html-notmd>

## 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": "aimino-fast-html"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aimino-fast-html` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aimino-fast-html/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