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Agent Skill · 前端设计

requirements-clarity(要求清晰)

requirements-clarity 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

requirements-clarity 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 2,692。

总安装 1,988周安装 82GitHub Stars 323下载 649核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:requirements-clarity(要求清晰)
来源仓库:https://github.com/pedronauck/skills
仓库路径:skills/requirements-clarity
安装命令:
npx skills add https://github.com/pedronauck/skills --skill requirements-clarity
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/pedronauck/skills --skill requirements-clarity

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

requirements-clarity 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。建议结合来源仓库和原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/requirements-clarity

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/pedronauck/skills --skill requirements-clarity;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

requirements-clarity 怎么安装?

在终端执行 npx skills add https://github.com/pedronauck/skills --skill requirements-clarity。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

requirements-clarity 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

requirements-clarity 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

requirements-clarity 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

requirements-clarity 用的人多吗?

公开数据是累计安装 1,988 次,近一周安装 82 次,下载 649 次,GitHub 323 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

requirements-clarity 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
requirements-clarity

要求清晰 · 本页

1,988323需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Requirements Clarity Skill

Description

Automatically transforms vague requirements into actionable PRDs through systematic clarification with a 100-point scoring system.

Instructions

When invoked, detect vague requirements:

  1. Vague Feature Requests

- User says: "add login feature", "implement payment", "create dashboard" - Missing: How, with what technology, what constraints?

  1. Missing Technical Context

- No technology stack mentioned - No integration points identified - No performance/security constraints

  1. Incomplete Specifications

- No acceptance criteria - No success metrics - No edge cases considered - No error handling mentioned

  1. Ambiguous Scope

- Unclear boundaries ("user management" - what exactly?) - No distinction between MVP and future enhancements - Missing "what's NOT included"

Do NOT activate when:

  • Specific file paths mentioned (e.g., "auth.go:45")
  • Code snippets included
  • Existing functions/classes referenced
  • Bug fixes with clear reproduction steps

Core Principles

  1. Systematic Questioning

- Ask focused, specific questions - One category at a time (2-3 questions per round) - Build on previous answers - Avoid overwhelming users

  1. Quality-Driven Iteration

- Continuously assess clarity score (0-100) - Identify gaps systematically - Iterate until ≥ 90 points - Document all clarification rounds

  1. Actionable Output

- Generate concrete specifications - Include measurable acceptance criteria - Provide executable phases - Enable direct implementation

Clarification Process

Step 1: Initial Requirement Analysis

Input: User's requirement description

Tasks:

  1. Parse and understand core requirement
  2. Generate feature name (kebab-case format)
  3. Determine document version (default 1.0 unless user specifies otherwise)
  4. Ensure ./docs/prds/ exists for PRD output
  5. Perform initial clarity assessment (0-100)

Assessment Rubric:

Functional Clarity: /30 points
- Clear inputs/outputs: 10 pts
- User interaction defined: 10 pts
- Success criteria stated: 10 pts

Technical Specificity: /25 points
- Technology stack mentioned: 8 pts
- Integration points identified: 8 pts
- Constraints specified: 9 pts

Implementation Completeness: /25 points
- Edge cases considered: 8 pts
- Error handling mentioned: 9 pts
- Data validation specified: 8 pts

Business Context: /20 points
- Problem statement clear: 7 pts
- Target users identified: 7 pts
- Success metrics defined: 6 pts

Initial Response Format:

I understand your requirement. Let me help you refine this specification.

**Current Clarity Score**: X/100

**Clear Aspects**:
- [List what's clear]

**Needs Clarification**:
- [List gaps]

Let me systematically clarify these points...

Step 2: Gap Analysis

Identify missing information across four dimensions:

1. Functional Scope

  • What is the core functionality?
  • What are the boundaries?
  • What is out of scope?
  • What are edge cases?

2. User Interaction

  • How do users interact?
  • What are the inputs?
  • What are the outputs?
  • What are success/failure scenarios?

3. Technical Constraints

  • Performance requirements?
  • Compatibility requirements?
  • Security considerations?
  • Scalability needs?

4. Business Value

  • What problem does this solve?
  • Who are the target users?
  • What are success metrics?
  • What is the priority?

Step 3: Interactive Clarification

Question Strategy:

  1. Start with highest-impact gaps
  2. Ask 2-3 questions per round
  3. Build context progressively
  4. Use user's language
  5. Provide examples when helpful

Question Format:

I need to clarify the following points to complete the requirements document:

1. **[Category]**: [Specific question]?
   - For example: [Example if helpful]

2. **[Category]**: [Specific question]?

3. **[Category]**: [Specific question]?

Please provide your answers, and I'll continue refining the PRD.

After Each User Response:

  1. Update clarity score
  2. Capture new information in the working PRD outline
  3. Identify remaining gaps
  4. If score < 90: Continue with next round of questions
  5. If score ≥ 90: Proceed to PRD generation

Score Update Format:

Thank you for the additional information!

**Clarity Score Update**: X/100 → Y/100

**New Clarified Content**:
- [Summarize new information]

**Remaining Points to Clarify**:
- [List remaining gaps if score < 90]

[If score < 90: Continue with next round of questions]
[If score ≥ 90: "Perfect! I will now generate the complete PRD document..."]

Step 4: PRD Generation

Once clarity score ≥ 90, generate comprehensive PRD.

Output File:

  1. Final PRD: ./docs/prds/{feature_name}-v{version}-prd.md

Use the Write tool to create or update this file. Derive {version} from the document version recorded in the PRD (default 1.0).

PRD Document Structure

# {Feature Name} - Product Requirements Document (PRD)

## Requirements Description

### Background
- **Business Problem**: [Describe the business problem to solve]
- **Target Users**: [Target user groups]
- **Value Proposition**: [Value this feature brings]

### Feature Overview
- **Core Features**: [List of main features]
- **Feature Boundaries**: [What is and isn't included]
- **User Scenarios**: [Typical usage scenarios]

### Detailed Requirements
- **Input/Output**: [Specific input/output specifications]
- **User Interaction**: [User operation flow]
- **Data Requirements**: [Data structures and validation rules]
- **Edge Cases**: [Edge case handling]

## Design Decisions

### Technical Approach
- **Architecture Choice**: [Technical architecture decisions and rationale]
- **Key Components**: [List of main technical components]
- **Data Storage**: [Data models and storage solutions]
- **Interface Design**: [API/interface specifications]

### Constraints
- **Performance Requirements**: [Response time, throughput, etc.]
- **Compatibility**: [System compatibility requirements]
- **Security**: [Security considerations]
- **Scalability**: [Future expansion considerations]

### Risk Assessment
- **Technical Risks**: [Potential technical risks and mitigation plans]
- **Dependency Risks**: [External dependencies and alternatives]
- **Schedule Risks**: [Timeline risks and response strategies]

## Acceptance Criteria

### Functional Acceptance
- [ ] Feature 1: [Specific acceptance conditions]
- [ ] Feature 2: [Specific acceptance conditions]
- [ ] Feature 3: [Specific acceptance conditions]

### Quality Standards
- [ ] Code Quality: [Code standards and review requirements]
- [ ] Test Coverage: [Testing requirements and coverage]
- [ ] Performance Metrics: [Performance test pass criteria]
- [ ] Security Review: [Security review requirements]

### User Acceptance
- [ ] User Experience: [UX acceptance criteria]
- [ ] Documentation: [Documentation delivery requirements]
- [ ] Training Materials: [If needed, training material requirements]

## Execution Phases

### Phase 1: Preparation
**Goal**: Environment preparation and technical validation
- [ ] Task 1: [Specific task description]
- [ ] Task 2: [Specific task description]
- **Deliverables**: [Phase deliverables]
- **Time**: [Estimated time]

### Phase 2: Core Development
**Goal**: Implement core functionality
- [ ] Task 1: [Specific task description]
- [ ] Task 2: [Specific task description]
- **Deliverables**: [Phase deliverables]
- **Time**: [Estimated time]

### Phase 3: Integration & Testing
**Goal**: Integration and quality assurance
- [ ] Task 1: [Specific task description]
- [ ] Task 2: [Specific task description]
- **Deliverables**: [Phase deliverables]
- **Time**: [Estimated time]

### Phase 4: Deployment
**Goal**: Release and monitoring
- [ ] Task 1: [Specific task description]
- [ ] Task 2: [Specific task description]
- **Deliverables**: [Phase deliverables]
- **Time**: [Estimated time]

---

**Document Version**: 1.0
**Created**: {timestamp}
**Clarification Rounds**: {clarification_rounds}
**Quality Score**: {quality_score}/100

Behavioral Guidelines

DO

  • Ask specific, targeted questions
  • Build on previous answers
  • Provide examples to guide users
  • Maintain conversational tone
  • Summarize clarification rounds within the PRD
  • Use clear, professional English
  • Generate concrete specifications
  • Stay in clarification mode until score ≥ 90

DON'T

  • Ask all questions at once
  • Make assumptions without confirmation
  • Generate PRD before 90+ score
  • Skip any required sections
  • Use vague or abstract language
  • Proceed without user responses
  • Exit skill mode prematurely

Success Criteria

  • Clarity score ≥ 90/100
  • All PRD sections complete with substance
  • Acceptance criteria checklistable (using - [] format)
  • Execution phases actionable with concrete tasks
  • User approves final PRD
  • Ready for development handoff

平台分布

Codex

34.42%
按下载量换算223

Claude

29.38%
按下载量换算191

Cursor

17.88%
按下载量换算116

Gemini CLI

8.71%
按下载量换算57

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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