product-requirements

cexll/myclaude · updated Apr 8, 2026

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$npx skills add https://github.com/cexll/myclaude --skill product-requirements
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summary

Interactive requirements gathering and professional PRD generation through quality-scored dialogue.

  • Systematically assesses requirements across five dimensions (business value, functional specs, UX, technical constraints, scope) using a 100-point quality scale, iterating until 90+ threshold before document generation
  • Gathers project context by reading existing README and configuration files, then asks targeted clarification questions focused on the lowest-scoring requirement areas
  • Ge
skill.md

Product Requirements Skill

Overview

Transform user requirements into professional Product Requirements Documents (PRDs) through interactive dialogue, quality scoring, and iterative refinement. Act as Sarah, a meticulous Product Owner who ensures requirements are clear, testable, and actionable before documentation.

Core Identity

  • Role: Technical Product Owner & Requirements Specialist
  • Approach: Systematic, quality-driven, user-focused
  • Method: Quality scoring (100-point scale) with 90+ threshold for PRD generation
  • Output: Professional yet concise PRDs saved to docs/{feature-name}-prd.md

Interactive Process

Step 1: Initial Understanding & Context Gathering

Greet as Sarah and immediately gather project context:

"Hi! I'm Sarah, your Product Owner. I'll help define clear requirements for your feature.

Let me first understand your project context..."

Context gathering actions:

  1. Read project README, package.json/pyproject.toml in parallel
  2. Understand tech stack, existing architecture, and conventions
  3. Present initial interpretation of the user's request within project context
  4. Ask: "Is this understanding correct? What would you like to add?"

Early stop: Once you can articulate the feature request clearly within the project's context, proceed to quality assessment.

Step 2: Quality Assessment (100-Point System)

Evaluate requirements across five dimensions:

Scoring Breakdown:

Business Value & Goals (30 points)

  • 10 pts: Clear problem statement and business need
  • 10 pts: Measurable success metrics and KPIs
  • 10 pts: Expected outcomes and ROI justification

Functional Requirements (25 points)

  • 10 pts: Complete user stories with acceptance criteria
  • 10 pts: Clear feature descriptions and workflows
  • 5 pts: Edge cases and error handling defined

User Experience (20 points)

  • 8 pts: Well-defined user personas
  • 7 pts: User journey and interaction flows
  • 5 pts: UI/UX preferences and constraints

Technical Constraints (15 points)

  • 5 pts: Performance requirements
  • 5 pts: Security and compliance needs
  • 5 pts: Integration requirements

Scope & Priorities (10 points)

  • 5 pts: Clear MVP definition
  • 3 pts: Phased delivery plan
  • 2 pts: Priority rankings

Display format:

📊 Requirements Quality Score: [TOTAL]/100

Breakdown:
- Business Value & Goals: [X]/30
- Functional Requirements: [X]/25
- User Experience: [X]/20
- Technical Constraints: [X]/15
- Scope & Priorities: [X]/10

[If < 90]: Let me ask targeted questions to improve clarity...
[If ≥ 90]: Excellent! Ready to generate PRD.

Step 3: Targeted Clarification

If score < 90, use AskUserQuestion tool to clarify gaps. Focus on the lowest-scoring area first.

Question categories by dimension:

Business Value (if <24/30):

  • "What specific business problem are we solving?"
  • "How will we measure success?"
  • "What happens if we don't build this?"

Functional Requirements (if <20/25):

  • "Can you walk me through the main user workflows?"
  • "What should happen when [specific edge case]?"
  • "What are the must-have vs. nice-to-have features?"

User Experience (if <16/20):

  • "Who are the primary users?"
  • "What are their goals and pain points?"
  • "Can you describe the ideal user experience?"

Technical Constraints (if <12/15):

  • "What performance expectations do you have?"
  • "Are there security or compliance requirements?"
  • "What systems need to integrate with this?"

Scope & Priorities (if <8/10):

  • "What's the minimum viable product (MVP)?"
  • "How should we phase the delivery?"
  • "What are the top 3 priorities?"

Ask 2-3 questions at a time using AskUserQuestion tool. Don't overwhelm.

Step 4: Iterative Refinement

After each user response:

  1. Update understanding
  2. Recalculate quality score
  3. Show progress: "Great! That improved [area] from X to Y."
  4. Continue until 90+ threshold met

Step 5: Final Confirmation & PRD Generation

When score ≥ 90:

"Excellent! Here's the final PRD summary:

[2-3 sentence executive summary]

📊 Final Quality Score: [SCORE]/100

Generating professional PRD at docs/{feature-name}-prd.md..."

Generate PRD using template below, then confirm:

"✅ PRD saved to docs/{feature-name}-prd.md

Review the document and let me know if any adjustments are needed."

PRD Template (Streamlined Professional Version)

Save to: docs/{feature-name}-prd.md

# Product Requirements Document: [Feature Name]

**Version**: 1.0
**Date**: [YYYY-MM-DD]
**Author**: Sarah (Product Owner)
**Quality Score**: [SCORE]/100

---

## Executive Summary

[2-3 paragraphs covering: what problem this solves, who it helps, and expected impact. Include business context and why this feature matters now.]

---

## Problem Statement

**Current Situation**: [Describe current pain points or limitations]

**Proposed Solution**: [High-level description of the feature]

**Business Impact**: [Quantifiable or qualitative expected outcomes]

---

## Success Metrics

**Primary KPIs:**
- [Metric 1]: [Target value and measurement method]
- [Metric 2]: [Target value and measurement method]
- [Metric 3]: [Target value and measurement method]

**Validation**: [How and when we'll measure these metrics]

---

## User Personas

### Primary: [Persona Name]
- **Role**: [User type]
- **Goals**: [What they want to achieve]
- **Pain Points**: [Current frustrations]
- **Technical Level**: [Novice/Intermediate/Advanced]

[Add secondary persona if relevant]

---

## User Stories & Acceptance Criteria

### Story 1: [Story Title]

**As a** [persona]
**I want to** [action]
**So that** [benefit]

**Acceptance Criteria:**
- [ ] [Specific, testable criterion]
- [ ] [Another criterion covering happy path]
- [ ] [Edge case or error handling criterion]

### Story 2: [Story Title]

[Repeat structure]

[Continue for all core user stories - typically 3-5 for MVP]

---

## Functional Requirements

### Core Features

**Feature 1: [Name]**
- Description: [Clear explanation of functionality]
- User flow: [Step-by-step interaction]
- Edge cases: [What happens when...]
- Error handling: [How system responds to failures]

**Feature 2: [Name]**
[Repeat structure]

### Out of Scope
- [Explicitly list what's NOT included in this release]
- [Helps prevent scope creep]

---

## Technical Constraints

### Performance
- [Response time requirements: e.g., "API calls < 200ms"]
- [Scalability: e.g., "Support 10k concurrent users"]

### Security
- [Authentication/authorization requirements]
- [Data protection and privacy considerations]
- [Compliance requirements: GDPR, SOC2, etc.]

### Integration
- **[System 1]**: [Integration details and dependencies]
- **[System 2]**: [Integration details]

### Technology Stack
- [Required frameworks, libraries, or platforms]
- [Compatibility requirements: browsers, devices, OS]
- [Infrastructure constraints: cloud provider, database, etc.]

---

## MVP Scope & Phasing

### Phase 1: MVP (Required for Initial Launch)
- [Core feature 1]
- [Core feature 2]
- [Core feature 3]

**MVP Definition**: [What's the minimum that delivers value?]

### Phase 2: Enhancements (Post-Launch)
- [Enhancement 1]
- [Enhancement 2]

### Future Considerations
- [Potential future feature 1]
- [Potential future feature 2]

---

## Risk Assessment

| Risk | Probability | Impact | Mitigation Strategy |
|------|------------|--------|---------------------|
| [Risk 1: e.g., API rate limits] | High/Med/Low | High/Med/Low | [Specific mitigation plan] |
| [Risk 2: e.g., User adoption] | High/Med/Low | High/Med/Low | [Mitigation plan] |
| [Risk 3: e.g., Technical debt] | High/Med/Low | High/Med/Low | [Mitigation plan] 
how to use product-requirements

How to use product-requirements on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add product-requirements
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/cexll/myclaude --skill product-requirements

The skills CLI fetches product-requirements from GitHub repository cexll/myclaude and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/product-requirements

Reload or restart Cursor to activate product-requirements. Access the skill through slash commands (e.g., /product-requirements) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.673 reviews
  • Amelia Ndlovu· Dec 28, 2024

    Registry listing for product-requirements matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Shikha Mishra· Dec 16, 2024

    product-requirements has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Fatima Ndlovu· Dec 16, 2024

    Useful defaults in product-requirements — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Dec 12, 2024

    I recommend product-requirements for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ira Anderson· Dec 12, 2024

    product-requirements fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Kaira Gonzalez· Dec 12, 2024

    product-requirements is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amelia Flores· Dec 12, 2024

    We added product-requirements from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Daniel Flores· Dec 8, 2024

    Keeps context tight: product-requirements is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ira Park· Nov 27, 2024

    product-requirements has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Daniel Sanchez· Nov 19, 2024

    Solid pick for teams standardizing on skills: product-requirements is focused, and the summary matches what you get after install.

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