Privacy Policy (Grade A)Security-tested data-ai skill for Claude AI. Grade A. When the user needs to draft, review, or update a privacy policy for their product, or needs to understand data privacy obligations across jurisdi

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Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

This tool assists in drafting, reviewing, or updating a privacy policy for a product and understanding data privacy obligations across jurisdictions. It helps founders create a privacy policy for a new product launch, update an existing policy for new data practices or features, expand into a new jurisdiction, or assess current data handling disclosure. The tool considers various jurisdictions such as the EU, California, and their respective regulations like GDPR, CCPA, and CPRA. It requires context from the startup and the user, including product details, data collection methods, third-party services, and applicable jurisdictions. The tool provides a structured approach to mapping data collection, identifying applicable laws, and organizing the policy into 15 sections. It emphasizes plain language, specificity about practices, and legal review areas. The output includes a quick reference summary, a full policy document, and a compliance summary.

Key features

Data inventory mapping
Applicable laws identification
15-section policy template
Plain language writing guidance
Legal review area notation
Compliance summary generation

Pricing

Model: Free
Category: Skills
Rating: No reviews yet

Use cases

New Product Launch

When launching a new product, a founder needs to create a privacy policy that outlines data collection, usage, and protection practices.

Policy Update for New Features

When introducing new features that involve additional data practices, the policy needs to be updated to reflect these changes and ensure continued compliance.

Expansion into New Jurisdictions

When expanding into new jurisdictions, such as the EU or California, understanding and complying with local data privacy regulations like GDPR or CCPA is crucial.

Pros & Cons

Pros

Provides a structured approach to creating a privacy policy
Considers multiple jurisdictions and their regulations
Emphasizes plain language for better understanding
Includes a compliance summary for implementation

Cons

Requires detailed information about the product and data practices
May need legal review for certain sections
Complexity may vary based on jurisdiction and product specifics

Reviews

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Q&A

How Skills Work Together?

Every skill reads from startup-context first — your company's stage, product, market, team, and metrics. This shared context means skills produce output tailored to your specific startup, not generic advice. See each skill's Related Skills section for the full dependency map.

Asked by Larisa Ionescu · Oct 27, 2025

What are Skills?

Skills are markdown files that give AI agents specialized knowledge and workflows for specific tasks. When you add these to your project, your agent can recognize what you're working on and apply the right frameworks, templates, and best practices — so you get founder-grade output, not generic AI slop.

Asked by Grace Okafor · Oct 9, 2025

Who Is This For?

Solo technical founders building an MVP who also need to fundraise, sell, hire, and market — without a team to delegate to. First-time founders who know how to code but haven't written a pitch deck, cold email, or job description before. Small founding teams (2-3 people) wearing multiple hats and needing to move fast across every function. Technical co-founders who handle product and engineering but now need to step into sales, recruiting, or investor conversations. If you're at a company with a VP of Sales, a Head of Marketing, and in-house counsel — you probably don't need this. These skills are for founders who are the sales team, the marketing team, and the legal team, all at once.

Asked by Wesley Adekunle · Oct 1, 2025

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