关于
This skill prompts Claude to ask clarifying questions when requirements are underspecified or ambiguous before proceeding with implementation. It's designed to prevent assumptions and ensure proper understanding, particularly for security-critical tasks. Developers should use it when serious doubts arise about specifications to avoid incorrect implementations.
快速安装
Claude Code
推荐npx skills add plurigrid/asi -a claude-code/plugin add https://github.com/plurigrid/asigit clone https://github.com/plurigrid/asi.git ~/.claude/skills/ask-questions-if-underspecified在 Claude Code 中复制并粘贴此命令以安装该技能
GitHub 仓库
Frequently asked questions
What is the ask-questions-if-underspecified skill?
ask-questions-if-underspecified is a Claude Skill by plurigrid. Skills package instructions and resources that Claude loads on demand, so Claude can perform ask-questions-if-underspecified-related tasks without extra prompting.
How do I install ask-questions-if-underspecified?
Use the install commands on this page: add ask-questions-if-underspecified to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does ask-questions-if-underspecified belong to?
ask-questions-if-underspecified is in the ask-questions-if-underspecified category, tagged ai and design.
Is ask-questions-if-underspecified free to use?
Yes. ask-questions-if-underspecified is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
相关推荐技能
该Skill在遇到需求不明确或存在严重疑问时，会主动暂停执行并要求澄清需求，避免因假设而引入错误。它特别适用于需要高准确性的开发和安全审查场景，确保实现前充分理解上下文。作为Trail of Bits的安全技能，它帮助开发者在编码前建立清晰的规范。
Content Collections 是一个 TypeScript 优先的构建工具，可将本地 Markdown/MDX 文件转换为类型安全的数据集合。它专为构建博客、文档站和内容密集型 Vite+React 应用而设计，提供基于 Zod 的自动模式验证。该工具涵盖从 Vite 插件配置、MDX 编译到生产环境部署的完整工作流。
这个Claude Skill为开发者提供完整的Polymarket预测市场开发支持，涵盖API调用、交易执行和市场数据分析。关键特性包括实时WebSocket数据流，可监控实时交易、订单和市场动态。开发者可用它构建预测市场应用、实施交易策略并集成实时市场预测功能。
该Skill帮助开发者创建OpenCode插件，用于接入命令、文件、LSP等25+种事件。它提供了插件结构、事件API规范和JavaScript/TypeScript实现模式，适合需要拦截操作、扩展功能或自定义事件处理的场景。开发者可通过它快速构建响应式模块来增强OpenCode AI助手的能力。