# User Prompt

> Use this tool when you need to create interactive AI experiences that require additional user input during generation, solving problems of unclear or incomplete prompts. It provides a cross-platform GUI solution that enables AI models to request clarification or more information mid-generation, handling timeouts and presenting input prompts in dialog boxes. Ideal for use cases where user input is necessary to improve AI output accuracy and relevance.

Canonical page: https://skillsregistry.net/skills/nazar256-user-prompt  
JSON: https://api.skillsregistry.net/v1/skills/nazar256-user-prompt

## Description

User Prompt MCP provides a bridge between Cursor and users by enabling the AI to request additional input during generation without ending the process. Developed by nazar256, this Go implementation uses the mark3labs/mcp-go library and offers a cross-platform GUI solution that works on both Linux (using zenity) and macOS (using osascript). The server handles timeout scenarios, presents input prompts in dialog boxes with text wrapping, and communicates with Cursor via stdio transport, making it ideal for creating more interactive AI experiences where the model needs clarification or additional information mid-generation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/nazar256-user-prompt)
- **Repository:** <https://github.com/nazar256/user-prompt-mcp>

## 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": "nazar256-user-prompt"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nazar256-user-prompt` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nazar256-user-prompt/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