ask-multi

Present a multi-select question allowing multiple choices

16 stars

Best use case

ask-multi is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Present a multi-select question allowing multiple choices

Teams using ask-multi should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/ask-multi/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/devops/ask-multi/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/ask-multi/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How ask-multi Compares

Feature / Agentask-multiStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Present a multi-select question allowing multiple choices

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Ask Multi Skill

Multi-select variant of the AskUserQuestion tool.

## Usage

```
/ask-multi "Question" "Option 1" "Option 2" ["Option 3"] ["Option 4"]
```

## Instructions

When this skill is invoked:
1. First quoted argument = question text
2. Remaining arguments = options (2-4 required)
3. Invoke AskUserQuestion tool with parsed arguments
4. Set multiSelect: true

## Constraints

- Minimum 2 options, maximum 4 options
- If constraints violated, inform user of limits

## Examples

```
/ask-multi "Which features to enable?" "Auth" "Logging" "Caching" "Metrics"
/ask-multi "Select environments to deploy:" "dev" "staging" "prod"
/ask-multi "Install which extras?" "test" "dev" "docs"
```

Related Skills

performance-testing-review-multi-agent-review

16
from diegosouzapw/awesome-omni-skill

Use when working with performance testing review multi agent review

multiplayer

16
from diegosouzapw/awesome-omni-skill

Multiplayer game development principles. Architecture, networking, synchronization.

multi-platform-apps-multi-platform

16
from diegosouzapw/awesome-omni-skill

Build and deploy the same feature consistently across web, mobile, and desktop platforms using API-first architecture and parallel implementation strategies.

multi-platform-apps-flutter-expert

16
from diegosouzapw/awesome-omni-skill

Master Flutter development with Dart 3, advanced widgets, and multi-platform deployment. Handles state management, animations, testing, and performance optimization for mobile, web, desktop, and embedded platforms. Use PROACTIVELY for Flutter architecture, UI implementation, or cross-platform features. Use when: the task directly matches flutter expert responsibilities within plugin multi-platform-apps. Do not use when: a more specific framework or task-focused skill is clearly a better match.

multi-phase-orchestrator

16
from diegosouzapw/awesome-omni-skill

Orchestrates complex software engineering tasks through a structured multi-phase workflow - Research → Brainstorm → Design → Plan → Execute → Review. Use this skill when the user asks you to implement a non-trivial feature, refactor, or change that benefits from upfront analysis before writing code. Activates on keywords like "orchestrate", "multi-phase", "plan and execute", or when a task is large enough to warrant structured decomposition.

multi-model-validation

16
from diegosouzapw/awesome-omni-skill

Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, or Claudish proxy for code review, consensus analysis, or multi-expert validation. NEW in v3.1.0 - SubagentStop hook enforces statistics collection, MANDATORY checklist prevents incomplete reviews, timing instrumentation examples. Includes dynamic model discovery via `claudish --top-models` and `claudish --free`, session-based workspaces, and Pattern 7-8 for tracking model performance. Trigger keywords - "grok", "gemini", "gpt-5", "deepseek", "claudish", "multiple models", "parallel review", "external AI", "consensus", "multi-model", "model performance", "statistics", "free models".

multi-claude

16
from diegosouzapw/awesome-omni-skill

Run parallel Claude instances for writer+reviewer patterns, git worktrees, and specialist agents. Use for independent verification and parallel progress.

agent-orchestration-multi-agent-optimize

16
from diegosouzapw/awesome-omni-skill

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

add-multi-filter

16
from diegosouzapw/awesome-omni-skill

为Flutter插件视图添加多条件过滤功能(MultiFilterBar),支持标签、关键词、日期、优先级、复选框等多种过滤类型。替代传统的FilterDialog,提供更直观的两层级交互UI。适用场景:(1) 列表视图需要多维度筛选,(2) 数据量较大需要快速过滤,(3) 需要实时显示过滤条件的应用

simo-multiomics-integration-agent

16
from diegosouzapw/awesome-omni-skill

AI-powered spatial integration of multi-omics datasets using probabilistic alignment for comprehensive tissue atlas construction and cellular state mapping.

multi-model-reviewer

16
from diegosouzapw/awesome-omni-skill

協調多個 AI 模型(ChatGPT、Gemini、Codex、QWEN、Claude)進行三角驗證,確保「Specification == Program == Test」一致性。過濾假警報後輸出報告,大幅減少人工介入時間。

multi-ai-research

16
from diegosouzapw/awesome-omni-skill

Comprehensive research and analysis using Claude (subagents), Gemini CLI, and Codex CLI. Multi-perspective research with cross-verification, iterative refinement, and 100% citation coverage. Use for security analysis, architecture research, code quality assessment, performance analysis, or any research requiring rigorous verification and multiple AI perspectives.