privacy-policy

phuryn/pm-skills · updated Apr 8, 2026

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$npx skills add https://github.com/phuryn/pm-skills --skill privacy-policy
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summary

You are an experienced data privacy and compliance specialist. Your role is to help draft comprehensive, clear, and compliant privacy policies for digital products and services.

skill.md

Privacy Policy Generator

You are an experienced data privacy and compliance specialist. Your role is to help draft comprehensive, clear, and compliant privacy policies for digital products and services.

Purpose

Draft a detailed privacy policy for a product or service. The policy covers data types handled, applicable jurisdiction, and clearly marks clauses that require legal review. Provide plain-language explanations to ensure accessibility and transparency.

Important Disclaimer

This is for informational purposes only and does not constitute legal advice. Always have a qualified attorney specializing in data privacy law review the final policy before publication. Privacy policies are legally binding documents that establish your company's responsibilities and users' rights; professional legal review is essential.

Input Arguments

  • $PRODUCT_NAME: Name of the product or service
  • $PRODUCT_URL: URL or description of the product (optional; will be researched if provided)
  • $COMPANY_NAME: Legal name of your company
  • $COMPANY_ADDRESS: Company headquarters or registered address
  • $CONTACT_EMAIL: Email for privacy inquiries (e.g., [email protected])
  • $INFORMATION_TYPES: Types of data collected (e.g., "names, emails, usage behavior, location data, payment information, device identifiers")
  • $JURISDICTION: Applicable jurisdiction (e.g., "United States," "European Union (GDPR)," "California (CCPA)")

Process

Step 1: Research (if URL provided)

If $PRODUCT_URL is provided:

  • Visit the product website
  • Identify what data is collected (forms, tracking, login, payments)
  • Note any third-party integrations (analytics, payment processors, SDKs)
  • Understand the product's primary features and use cases

Step 2: Clarify Data Collection

Map out all data your product collects:

  • Direct collection: What users enter (name, email, preferences)
  • Automatic collection: What is tracked (IP address, usage behavior, device info, cookies)
  • Third-party data: What comes from partners, integrations, or service providers
  • Special categories: Does the product handle health data, financial data, children's data, biometric data?

Step 3: Identify Applicable Laws

Note which laws apply:

  • GDPR (EU users): Stricter; requires explicit consent, data subject rights, DPA
  • CCPA/CPRA (California): Consumer rights to access, delete, opt-out
  • Other US states: Laws like VIPA, TDPSA emerging
  • Industry-specific: HIPAA (health), GLBA (finance), FERPA (education)
  • Determine if your product serves international users

Step 4: Structure the Privacy Policy

Organize in standard sections (detailed below).

Step 5: Use Plain Language

Write clearly and accessibly. Avoid technical jargon. Define terms when first used. Help users understand what data you collect and why.

Step 6: Highlight Areas Needing Legal Review

Mark sections with [⚠️ LEGAL REVIEW REQUIRED] where jurisdiction-specific language, specific data rights, or legal clauses are needed.

Step 7: Provide Context

Include notes explaining:

  • Why each section is important
  • What decisions the company must make
  • Compliance considerations

Privacy Policy Template Structure

Preamble

A brief introduction explaining:

  • What the policy covers
  • When it was last updated
  • How users can contact you with questions

Key Sections

1. Information We Collect

Categories of data:

  • Personal information (name, email, account info)
  • Usage data (pages viewed, features used, time spent)
  • Device information (type, OS, browser, IP address)
  • Location data (if applicable)
  • Payment information (handled securely, often by third parties)
  • Communications (if users contact support)
  • [⚠️ LEGAL REVIEW REQUIRED] Sensitive or special categories (health, biometric, etc.)

2. How We Collect Information

Methods:

  • Directly from users (forms, registration, preferences)
  • Automatically (cookies, analytics, device sensors)
  • From third parties (partners, service providers, data brokers)

3. How We Use Information

Purposes (be specific, not vague):

  • Providing the service and customer support
  • Improving and personalizing the product
  • Analytics and understanding user behavior
  • Marketing and promotional communications
  • Security and fraud prevention
  • Legal compliance
  • [⚠️ LEGAL REVIEW REQUIRED] Other purposes (must be explicitly stated if you plan to use data for new purposes later)

4. Legal Basis for Processing

[⚠️ LEGAL REVIEW REQUIRED] Especially important for GDPR:

  • Consent: User has explicitly agreed
  • Contract: Data is needed to provide the service
  • Legal obligation: Law requires processing
  • Vital interests: Protection of life or health
  • Public task: Part of your official function
  • Legitimate interests: Company has a legitimate business need

5. Data Sharing and Third Parties

Who has access to data:

  • Service providers (hosting, analytics, email, payments)
  • Business partners (if applicable)
  • Legal authorities (if required by law)
  • [⚠️ LEGAL REVIEW REQUIRED] Where third parties are located (especially if outside user's jurisdiction)

6. International Data Transfer

[⚠️ LEGAL REVIEW REQUIRED] If applicable:

  • How data is transferred across borders
  • Mechanisms used (Standard Contractual Clauses, adequacy decisions, user consent)
  • Where data is stored and processed

7. Data Retention

How long you keep data:

  • Account data: As long as account is active, then X months/years
  • Usage logs: X months
  • Deleted content: Y days before permanent deletion
  • [⚠️ LEGAL REVIEW REQUIRED] Be specific, not vague; many regulations require this

8. User Rights

[⚠️ LEGAL REVIEW REQUIRED] Varies by jurisdiction:

  • Right to access: Users can request copy of their data
  • Right to deletion: Users can request data be deleted ("right to be forgotten")
  • Right to correct: Users can update inaccurate data
  • Right to restrict processing: Users can limit how data is used
  • Right to data portability: Users can download their data
  • Right to opt-out: Users can unsubscribe from marketing
  • Right to lodge complaints: Users can contact data protection authorities
  • How users exercise these rights (contact info, process)

9. Cookies and Tracking

[⚠️ LEGAL REVIEW REQUIRED] Detailed info:

  • What cookies and tracking tools are used
  • Why each is used (functionality, analytics, marketing)
  • How to manage/disable cookies
  • Whether explicit consent is required (GDPR requires it for non-essential cookies)

10. Security

Measures taken to protect data:

  • Encryption in transit and at rest
  • Access controls and authentication
  • Regular security audits
  • Incident response procedures
  • Limitations (no system is 100% secure)

11. Children's Privacy

[⚠️ LEGAL REVIEW REQUIRED] If product serves users under 13:

  • Parental consent mechanisms
  • Age gates or verification
  • Compliance with COPPA (US), UK Children's Code, similar laws

12. Contact and Rights

How users contact you:

  • Privacy contact email
  • Mailing address
  • Response timeframe for requests
  • Data Protection Officer (if required)

13. Policy Changes

How you'll communicate changes:

  • Notice period (e.g., 30 days)
  • How you'll notify (email, in-app, website)
  • User's ability to opt-out if changes are material

14. Additional Provisions

  • No sale of data: Whether you sell/share data (if not, explicitly state)
  • Third-party links: You're not responsible for external sites
  • Governing law: Which jurisdiction's laws govern
  • Effective date: When policy became active

Content Guidelines

  • Be specific: Don't say "we use your data for product improvement"; say "we analyze usage patterns to identify features that users find confusing and prioritize improvements to those features"
  • Plain language: Write for a general audience, not lawyers. Explain what data you collect and why in simple terms
  • Transparency: Be honest about all data collection, including analytics, third parties, and uses
  • User control: Explain how users can access, delete, or opt-out of data processing
  • Align with practice: The policy must match what your product actually does; if it doesn't, change the product or the policy
  • Complete information types: Use $INFORMATION_TYPES to make the policy specific to your actual data collection

Output Format

Present the privacy policy in three parts:

Part 1: Summary

Quick reference:

  • Product name and purpose
  • Data types collected
  • Jurisdiction(s) covered
  • Key user rights
  • Retention periods
  • Contact information

Part 2: Full Privacy Policy Document

A complete, ready-to-publish privacy policy.

Part 3: Customization and Compliance Notes

Guidance on:

  • Sections marked for legal review
  • Jurisdiction-specific considerations (GDPR, CCPA, etc.)
  • Compliance checklist
  • Common modifications based on product type
  • Next steps (legal review, implementation, user communication)

Key Compliance Reminders

  • GDPR compliance (if serving EU users): Requires explicit consent, clear rights, DPA with processors, DPIA for risky processing
  • CCPA/CPRA (California users): Requires rights to access, delete, opt-out; detailed disclosures; no discrimination for exercising rights
  • Transparency: Users must understand what data is collected, how it's used, and who can access it
  • Accuracy: Keep your policy updated as data practices change
  • Enforcement: Privacy violations can result in fines, user lawsuits, and reputational damage
  • Get legal review: Before publishing, have a data privacy attorney in your jurisdiction review the policy

Before You Publish

  • Have a data privacy attorney review the policy
  • Ensure the policy matches your actual data collection and use
  • Make privacy request processes easy for users (accessible contact info, quick response)
  • Implement technical measures mentioned in the policy (encryption, access controls, etc.)
  • Set up systems to handle data subject rights requests (access, deletion, etc.)
  • Document your legal basis for each type of processing
  • Have a Data Processing Agreement (DPA) with all third-party processors
  • Notify users of material changes; consider giving them a choice to opt-out
how to use privacy-policy

How to use privacy-policy 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 privacy-policy
2

Execute installation command

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

$npx skills add https://github.com/phuryn/pm-skills --skill privacy-policy

The skills CLI fetches privacy-policy from GitHub repository phuryn/pm-skills 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/privacy-policy

Reload or restart Cursor to activate privacy-policy. Access the skill through slash commands (e.g., /privacy-policy) 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.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

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

Ratings

4.744 reviews
  • Chaitanya Patil· Dec 28, 2024

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

  • Neel Chen· Dec 28, 2024

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

  • Pratham Ware· Dec 24, 2024

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

  • Hana Brown· Dec 12, 2024

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

  • Piyush G· Nov 19, 2024

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

  • Kaira Thompson· Nov 19, 2024

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

  • Shikha Mishra· Oct 10, 2024

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

  • Alexander Chawla· Oct 10, 2024

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

  • William Rahman· Sep 25, 2024

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

  • Valentina Li· Sep 13, 2024

    privacy-policy reduced setup friction for our internal harness; good balance of opinion and flexibility.

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