# AsQu

> Use this tool when you need to manage asynchronous user questions in AI coding workflows, solving problems of blocked execution and poor user experience. AsQu provides a desktop UI for queuing and answering questions at the user's own pace, supporting various question types and priority-based organization. It offers a flexible interface for submitting, polling, and managing questions, making it ideal for use cases requiring efficient and non-intrusive user interaction.

Canonical page: https://skillsregistry.net/skills/inonego-asqu  
JSON: https://api.skillsregistry.net/v1/skills/inonego-asqu

## Description

AsQu provides an asynchronous question queue for AI coding agents. Built with Tauri 2 and Rust, it replaces the default blocking ask-user-question pattern with a desktop UI where questions accumulate and users answer at their own pace. Supports multiple question types including free-text, single/multi-choice, and instant questions with priority-based queuing and category organization. Includes tools for submitting questions, polling for answers, blocking with timeouts, listing and dismissing questions, and managing the desktop window.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/inonego-asqu)
- **Repository:** <https://github.com/inonego-ai/asqu>

## 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": "inonego-asqu"
    }
  }
}
```

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