# User Prompt

> Use this tool when you need to gather more information from users to improve AI model accuracy or resolve ambiguous requests. It solves problems of unclear or incomplete user input by enabling AI agents to ask follow-up questions via pop-up terminal windows. This tool takes unclear user requests as input and outputs more precise and accurate user intentions through interactive user-agent dialogue.

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

## Description

An MCP server that enables AI agents to ask users clarifying questions via pop-up terminal windows.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/user-prompt)
- **Repository:** <https://github.com/jacob-j-thomas/user-context-retrieval-mcp-server>

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

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