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Agent Skill · 研究检索

project-requirements(项目要求)

project-requirements 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

project-requirements 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 62,939。

总安装 324周安装 13GitHub Stars 11下载 105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:project-requirements(项目要求)
来源仓库:https://github.com/peterbamuhigire/skills-web-dev
仓库路径:skills/project-requirements
安装命令:
npx skills add https://github.com/peterbamuhigire/skills-web-dev --skill project-requirements
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/peterbamuhigire/skills-web-dev --skill project-requirements

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

project-requirements 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。它支持基于关键词、任务场景或来源线索进行信息检索与筛选。

可通过 npx skills add 命令从指定 GitHub 仓库安装并使用。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。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/project-requirements

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/peterbamuhigire/skills-web-dev --skill project…;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

    它需要接触敏感数据,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

project-requirements 怎么安装?

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

project-requirements 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。

project-requirements 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

project-requirements 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。

project-requirements 用的人多吗?

公开数据是累计安装 324 次,近一周安装 13 次,下载 105 次,GitHub 11 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。

project-requirements 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
project-requirements

项目要求 · 本页

32411接触敏感数据未明确通过

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

Platform Notes

  • Optional helper plugins may help in some environments, but they must not be treated as required for this skill.

Project Requirements Documentation Helper

Use When

  • Guided interview to create comprehensive project requirements documentation (requirements.md, business-rules.md, user-types.md, workflows.md) for a new SaaS project. Use before bootstrapping the SaaS Seeder Template.
  • The task needs reusable judgment, domain constraints, or a proven workflow rather than ad hoc advice.

Do Not Use When

  • The task is unrelated to project-requirements or would be better handled by a more specific companion skill.
  • The request only needs a trivial answer and none of this skill's constraints or references materially help.

Required Inputs

  • Gather relevant project context, constraints, and the concrete problem to solve.
  • Confirm the desired deliverable: design, code, review, migration plan, audit, or documentation.

Workflow

  • Read this SKILL.md first, then load only the referenced deep-dive files that are necessary for the task.
  • Apply the ordered guidance, checklists, and decision rules in this skill instead of cherry-picking isolated snippets.
  • Produce the deliverable with assumptions, risks, and follow-up work made explicit when they matter.

Quality Standards

  • Keep outputs execution-oriented, concise, and aligned with the repository's baseline engineering standards.
  • Preserve compatibility with existing project conventions unless the skill explicitly requires a stronger standard.
  • Prefer deterministic, reviewable steps over vague advice or tool-specific magic.

Anti-Patterns

  • Treating examples as copy-paste truth without checking fit, constraints, or failure modes.
  • Loading every reference file by default instead of using progressive disclosure.

Outputs

  • A concrete result that fits the task: implementation guidance, review findings, architecture decisions, templates, or generated artifacts.
  • Clear assumptions, tradeoffs, or unresolved gaps when the task cannot be completed from available context alone.
  • References used, companion skills, or follow-up actions when they materially improve execution.

Evidence Produced

CategoryArtifactFormatExample
Release evidenceRequirements documentation setMarkdown docs covering requirements.md, business-rules.md, and user-types.md per the guided interviewdocs/requirements/requirements.md

References

  • Use the links and companion skills already referenced in this file when deeper context is needed.

Create comprehensive requirements documentation for a new SaaS project through a guided AI-assisted interview process.

When to Use

Use when starting a new SaaS project from the template:

  • "Help me create project requirements for [SaaS name]"
  • "I need to document requirements for my SaaS"
  • "Create requirements documentation for a new project"
  • "Guide me through requirements gathering"

Purpose

This skill helps developers create the required documentation files that must be placed in docs/project-requirements/ BEFORE bootstrapping the SaaS Seeder Template.

Output Files

The skill creates four core documentation files plus optional UI mockups:

docs/project-requirements/
├── requirements.md       # Feature requirements & specifications
├── business-rules.md     # Business logic & validation rules
├── user-types.md         # User roles and permissions
├── workflows.md          # Key user workflows
└── ui-mockups/           # Optional UI designs (images/PDFs)

**Documentation Requirement (Mandatory):**
- Define the end-user manual scope for each core feature so manuals can be built immediately after implementation.

**Planning Index Rule:** When feature plans are created later, always update `docs/plans/INDEX.md` with status, urgency, last implementation date, and last modification date.

Guided Interview Process

Phase 1: Project Overview (requirements.md foundation)

Questions to ask:

  1. Project Basics

- What is the name of your SaaS? - What domain/industry? (School, Restaurant, Medical, E-commerce, etc.) - Who are the primary users? - What is the main problem you're solving? - Target launch date?

  1. Core Features (iterative) For each feature: Example prompts:

- What is the feature name? - Brief description (1-2 sentences) - User stories: "As a [user type], I want to [action] so that [benefit]" - Acceptance criteria (specific, testable requirements) - Priority: High / Medium / Low - "Let's start with your top 3 most important features" - "What happens when a user clicks this button?" - "What data needs to be collected?" - "What validations are needed?"

  1. Non-Functional Requirements

- Performance expectations (concurrent users, response times) - Security requirements - Scalability needs (how many franchises, users per franchise) - Usability requirements (mobile, offline, languages) - GIS requirements (Leaflet maps, geofencing, optional tile provider API key if needed) - Documentation requirements (manuals, guides, release notes, FAQs)

Output: Generate docs/project-requirements/requirements.md

Phase 2: Business Rules (business-rules.md)

Questions to ask:

  1. Validation Rules For each entity/form:

- What fields are required? - What are the validation rules? (length, format, range) - Are there unique constraints? - Cross-field validations?

  1. Calculations

- What formulas/algorithms are needed? (GPA, pricing, discounts, etc.) - Provide examples with sample inputs and outputs - Edge cases to handle

  1. State Machines

- What statuses can entities have? (e.g., student: PENDING → ACTIVE → GRADUATED) - What are valid transitions? - What triggers each transition? - What transitions are not allowed and why?

  1. Business Constraints

- Capacity limits (e.g., max students per class) - Time-based rules (e.g., can't modify grades after term closes) - Access restrictions (e.g., teachers only see their own subjects)

Output: Generate docs/project-requirements/business-rules.md

Phase 3: User Types (user-types.md)

Questions to ask:

  1. User Type Identification

- Beyond owner/staff, what custom user types do you need? - Examples: student, teacher, parent, customer, patient, waiter, chef - Which users are "end users" vs "franchise staff"?

  1. For Each User Type:

- What is their role/purpose? - What can they do? (capabilities) - What data can they access? - Which panel do they use? (franchise admin vs member portal) - Does franchise_id apply? (REQUIRED for non-super_admin)

  1. Permissions

- What permission codes are needed? - Which user types get which permissions? - Any special access rules?

  1. Registration Workflows

- How is each user type created/registered? - Self-registration or admin-created? - What information is collected?

Output: Generate docs/project-requirements/user-types.md

Phase 4: Workflows (workflows.md)

Questions to ask:

  1. Key Workflows Identification

- What are the 3-5 most important user journeys? - Examples: student enrollment, grade submission, fee payment, order placement

  1. For Each Workflow:

- Who are the actors? (users, system, external services) - What triggers this workflow? - What are the preconditions? - What are the postconditions?

  1. Step-by-Step Flow For each step:

- Who does what? - What does the system do in response? - What data is collected/saved? - Any branching logic?

  1. Alternative Flows & Errors

- What can go wrong? - How should errors be handled? - What alternative paths exist?

Output: Generate docs/project-requirements/workflows.md

Phase 5: UI Mockups (Optional)

Questions to ask:

  1. Do you have UI mockups or wireframes?
  2. If yes: Place files in docs/project-requirements/ui-mockups/
  3. Reference them in requirements.md where relevant

Interview Techniques

Ask Follow-Up Questions

When user gives vague answer:

User: "I need a student management system"
AI: "Great! Let's break that down:
  - What information do you need to track about students?
  - How do students get enrolled?
  - Who can view/edit student data?
  - What reports do you need?"

Use Examples

When explaining complex concepts:

AI: "For grade calculation, here's an example:
  Subject 1: Grade A (4.0), Credits 3 → 4.0 × 3 = 12
  Subject 2: Grade B (3.0), Credits 4 → 3.0 × 4 = 12
  GPA = (12 + 12) ÷ (3 + 4) = 24 ÷ 7 = 3.43

  Does this match your grading system?"

Provide Templates

Show structure to guide thinking:

AI: "For each feature, let's capture:
  ✓ Feature name
  ✓ Description
  ✓ User stories
  ✓ Acceptance criteria
  ✓ Priority

  Let's start with your first feature..."

Quality Standards

Good Requirements

✅ Specific: "Student email must be unique within franchise" not "email must be valid" ✅ Testable: "GPA calculated as weighted average" with formula ✅ Complete: All user types, all workflows, all validations documented ✅ Unambiguous: Clear language, examples provided ✅ Prioritized: High/Medium/Low for features

Red Flags

❌ Too vague: "The system should be user-friendly" ❌ Missing details: "User can edit data" (which data? which users?) ❌ Assumptions: "Obviously students can't delete grades" (document it!) ❌ No examples: Formula without sample calculation

Template Usage

Reference the template files:

When starting the interview, tell the user:

I'll help you create comprehensive requirements documentation.
We have template files to guide us:
- requirements.md.template
- business-rules.md.template
- user-types.md.template
- workflows.md.template

Let's start with your project overview...

Use template structure but customize content:

  • Replace example content with user's actual requirements
  • Add more sections as needed
  • Remove sections not applicable
  • Keep examples where they help clarify

Integration with SaaS Seeder

After completing requirements documentation:

  1. Verify files are in docs/project-requirements/: ✓ requirements.md ✓ business-rules.md ✓ user-types.md ✓ workflows.md
  2. Create database schema in database/schema/core-schema.sql based on requirements
  3. Run the saas-seeder skill to bootstrap the template: "Using the saas-seeder skill, prepare this repository for [Project Name]"

Example Interview Flow

AI: "Let's create your project requirements! What's your SaaS project about?"
User: "A school management system"

AI: "Great! Let's start with the basics:
  1. What's the name of your SaaS?
  2. What types of schools? (Primary, Secondary, University, All)
  3. Who will use it? (Teachers, Students, Parents, Admins)"

User: "EduTrack SaaS. For all school types. Teachers, students, parents, and school admins."

AI: "Perfect! Let's identify your core features.
  What's the #1 most important feature?"

User: "Student enrollment"

AI: "Let's detail that. When a student enrolls:
  - Who creates the enrollment? (Admin, Parent, or Self-registration)
  - What information is collected?
  - What happens after enrollment?
  - Any approval process?"

... (continue interview)

AI: "Excellent! I've created your requirements.md.
  Now let's talk about business rules.
  For student enrollment, are there any restrictions?
  - Age limits?
  - Class capacity limits?
  - Document requirements?"

... (continue for all phases)

Validation Checklist

Before completing, verify:

  • All four core files created
  • Each feature has acceptance criteria
  • User types clearly defined
  • Key workflows documented step-by-step
  • Validation rules specified
  • Calculations have examples
  • State transitions documented
  • Permission codes listed
  • Multi-tenant requirements considered (franchise_id filtering)

Output Confirmation

When complete, report to user:

✅ Project Requirements Documentation Complete!

Created Files:
- ✓ docs/project-requirements/requirements.md
- ✓ docs/project-requirements/business-rules.md
- ✓ docs/project-requirements/user-types.md
- ✓ docs/project-requirements/workflows.md

Summary:
- Features documented: [count]
- User types defined: [list]
- Key workflows: [list]
- Business rules: [count]

Next Steps:
1. Review the documentation files
2. Create database schema in database/schema/core-schema.sql
3. Run the saas-seeder skill to bootstrap your project
4. Start development!

Ready to bootstrap? Use:
"Using the saas-seeder skill, prepare this repository for [Your Project Name]"

Best Practices

Do:

  • Ask open-ended questions first, then drill down
  • Provide examples to illustrate concepts
  • Summarize what you've learned before moving to next section
  • Offer to add more details if user thinks of something later
  • Keep documentation practical and actionable

Don't:

  • Assume requirements without asking
  • Skip validations and edge cases
  • Create generic documentation (make it specific to their SaaS)
  • Overwhelm with too many questions at once
  • Forget to save progress incrementally

References

  • Template files in docs/project-requirements/*.template
  • saas-seeder skill for bootstrapping after requirements
  • ../../CLAUDE.md - Project-specific documentation after bootstrap
  • Multi-tenant patterns: All franchise-scoped data needs franchise_id

Cross-References to SDLC Skills

Downstream Skills (use AFTER this skill)

SkillRelationship
sdlc-planningTakes this skill's output (requirements.md, business-rules.md, user-types.md, workflows.md) as input for Feasibility Study, Vision & Scope, SRS, and other planning documents. This is the primary next step.
sdlc-designUses the SRS (produced via sdlc-planning) to generate System Design Document, Database Design, API Documentation, and Technical Specifications.
sdlc-testingUses the SRS and SDD to create test plans, test cases, and V&V documentation.
sdlc-user-deployUses all prior SDLC outputs to create user manuals, deployment guides, training materials, and release notes.
feature-planningFor individual feature specs and implementation plans after project-level requirements are established.
android-saas-planningFor Android companion app planning (PRD, SDS, API Contract). Uses SRS as input.
saas-seederBootstrap the SaaS template using requirements from this skill's output.

Complete SDLC Workflow

project-requirements (THIS SKILL)
    ↓ requirements.md, business-rules.md, user-types.md, workflows.md
sdlc-planning
    ↓ SRS, Vision & Scope, SDP, Feasibility Study, QA Plan, Risk Plan, SCMP
sdlc-design
    ↓ SDD, Database Design, Tech Spec, API Docs, ICD, Code Standards
sdlc-testing
    ↓ Test Plan, Test Cases, V&V Plan, Test Report, Peer Reviews
sdlc-user-deploy
    ↓ User Manual, Ops Guide, Training, Release Notes, Maintenance, README

平台分布

Codex

36.69%
按下载量换算39

Claude

26.87%
按下载量换算28

Cursor

17.63%
按下载量换算19

Gemini CLI

9.78%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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