Best for
- 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…
phuryn/pm-skills/pm-toolkit/skills/privacy-policy/SKILL.md
Draft a detailed privacy policy covering data types, jurisdiction, GDPR and compliance considerations, and clauses needing legal review. Use when creating a privacy policy, updating data protection documentation, or preparing for compliance.
Decision brief
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.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/phuryn/pm-skills --skill "pm-toolkit/skills/privacy-policy"Inspect the Agent Skill "privacy-policy" from https://github.com/phuryn/pm-skills/blob/18468a95b427e70e258b51389796367c6f684e7d/pm-toolkit/skills/privacy-policy/SKILL.md at commit 18468a95b427e70e258b51389796367c6f684e7d. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
If $PRODUCTURL 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
If $PRODUCTURL 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
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 -…
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), FER…
Organize in standard sections (detailed below).
Permission review
No configured static risk pattern was detected
This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.
Evidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 85/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 24,842 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
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.
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.
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.
$PRODUCT_NAME: Name of the product or service$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)")If $PRODUCT_URL is provided:
Map out all data your product collects:
Note which laws apply:
Organize in standard sections (detailed below).
Write clearly and accessibly. Avoid technical jargon. Define terms when first used. Help users understand what data you collect and why.
Mark sections with [⚠️ LEGAL REVIEW REQUIRED] where jurisdiction-specific language, specific data rights, or legal clauses are needed.
Include notes explaining:
A brief introduction explaining:
Categories of data:
Methods:
Purposes (be specific, not vague):
[⚠️ LEGAL REVIEW REQUIRED] Especially important for GDPR:
Who has access to data:
[⚠️ LEGAL REVIEW REQUIRED] If applicable:
How long you keep data:
[⚠️ LEGAL REVIEW REQUIRED] Varies by jurisdiction:
[⚠️ LEGAL REVIEW REQUIRED] Detailed info:
Measures taken to protect data:
[⚠️ LEGAL REVIEW REQUIRED] If product serves users under 13:
How users contact you:
How you'll communicate changes:
Present the privacy policy in three parts:
Quick reference:
A complete, ready-to-publish privacy policy.
Guidance on:
Alternatives
K-Dense-AI/scientific-agent-skills
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event4u-app/agent-config
ONLY when user asks for single-pass tech-stack detection or `agents/evidence/analysis/` write-up. Deep multi-pass audit → `universal-project-analysis`. Raw primitives → `project-analysis-core`.
mgiovani/cc-arsenal
Multi-agent review team: architecture, security, performance, testing, style, docs/UX, plus an adversary that cross-examines the other 6, for security-sensitive, architectural, or large PRs (15+ files) where a single-agent pass risks missing cross-cutting issues. Use for auth/payments/PII changes, schema/pattern changes, compliance sign-off, or when asked to 'get the review team on this' / 'multi-agent review' / 'thorough review before merge'. For a standard PR or a quick pre-merge check, use /r
event4u-app/agent-config
Use when creating or rewriting a README for a reusable package or library. Focus on installability, minimal usage example, compatibility, and developer onboarding.