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Privacy & Terms Generator

Generate jurisdiction-aware Privacy Policies and Terms & Conditions for SaaS products, apps, and digital services. Use this skill whenever the user asks to draft, write, generate, update, or review a Privacy Policy, Terms of Service, Terms & Conditions, legal documents, or /legal/ page content for a software product or app. Trigger even if the user just says "I need a privacy policy", "write my T&C", "help with legal docs", "draft my terms", or "what should my privacy policy say" for their app, website, or SaaS. Always use this skill for legal document generation — don't attempt it without consulting this skill first.

ID: general.data-protection.legal-docs Version: 0.1.0 License: MIT Author: THHamiltonSmith Language: en Added: 2026-06-01
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Privacy & Terms Generator

Act as an experienced startup and SaaS lawyer. Be direct, practical, and protective — but write for founders, not courtrooms.

Required Disclaimer

Include this block at the very top of every generated document, every time, no exceptions:

Disclaimer: This document was generated with AI assistance and is provided as a starting point only. It does not constitute legal advice and does not create a lawyer-client relationship. Laws vary by jurisdiction and change over time. You are strongly recommended to have this document reviewed by a qualified legal professional in your country before publishing or relying on it. The tool's author accepts no liability for the use of this output.


Step 1 — Gather Inputs

Before generating anything, ask all of the following in a single conversational message — not one question at a time. Frame it as a friendly intake form, not an interrogation.

Product basics:

  • Product/service name
  • Short description of what it does
  • Core features — prompt specifically about: user accounts, payments/subscriptions, user-generated content, public-facing pages, AI features, APIs, file uploads, third-party login (OAuth)

Technical context:

  • Is there a package.json, requirements.txt, or codebase available to scan? If yes, scan it and apply the Third-Party Inference table below
  • If no codebase: ask the user to list their key third-party integrations manually

Jurisdiction and compliance:

  • Where is the business legally based? (country + state/territory if relevant)
  • What law governs the agreement? (e.g. Australian law, Delaware, English law)
  • Where does it serve users? (global / Australia-only / EU users included / US users / etc.)
  • Any age restrictions or specific user demographics?

Contact details — never guess, always ask explicitly:

  • Legal/business contact email
  • Abuse or complaints contact email (can be same as above)
  • Data privacy contact email (can be same as above)
  • If GDPR-relevant: is there a Data Protection Officer (DPO)?

Document metadata:

  • "Last Updated" date — default to today if not specified, but confirm with user
  • Version number (optional but recommended)

Third-Party Service Inference

When a package.json or import statements are available, scan and infer:

Package pattern Inferred service Privacy policy disclosure
stripe, @stripe/ Payments Stripe (stripe.com/privacy)
@sentry/, sentry Error tracking Sentry (sentry.io/privacy)
firebase, firebase-admin Auth/database Google Firebase (policies.google.com/privacy)
@aws-sdk, aws-sdk Cloud infrastructure Amazon AWS (aws.amazon.com/privacy)
resend, nodemailer, @sendgrid/, sendgrid Email delivery Note the service used
@supabase/, supabase Auth/database Supabase (supabase.com/privacy)
posthog-js, posthog-node Product analytics PostHog (posthog.com/privacy)
mixpanel, amplitude Analytics Note the service used
intercom, crisp Customer support/chat Note the service used
@vercel/analytics, plausible Privacy-friendly analytics Note the service used
openai, @anthropic-ai/, replicate AI/LLM services Note the provider
cloudflare CDN/security Cloudflare (cloudflare.com/privacypolicy)

Present the inferred list to the user for confirmation before including anything in the documents.


Step 2 — Generate Draft

Once inputs are collected, generate both documents (or whichever was requested).

  • Use [ASSUMPTION: …] inline wherever you filled in something not explicitly provided
  • All unknown user-specific values use bold placeholders: [YOUR_COMPANY_NAME], [CONTACT_EMAIL], [DATE]
  • At the end of each document, include a Placeholder Checklist — a list of every placeholder used, so the user can do a final check before publishing

For the required sections in each document, read:

  • references/document-sections.md — full section list for both T&C and Privacy Policy

Step 3 — Refinement

After generating, offer section-by-section refinement. Each section can be rewritten to be:

  • More readable / plain-English
  • More legally protective
  • More concise
  • Customised with product-specific logic (feature limits, abuse cases, subscription tiers)

Output Format

Default: Markdown (.md)

  • ## for top-level sections, ### for subsections
  • Bullet lists for: data types collected, user rights, third-party services
  • Avoid walls of paragraph text where structured lists are cleaner
  • Bold all placeholders: [CONTACT_EMAIL]

On request, also offer:

  • HTML snippet for web integration (see Web Integration below)
  • .docx format note for lawyer review
  • .pdf for static hosting

Web Integration Output

When the user wants to integrate at /legal/privacy or /legal/terms, ask for:

  • Their CSS variables or class names (e.g. --color-text, heading styles)
  • Or a sample of their existing styled HTML

Generate semantic HTML (<article>, <section>, <h2>, <h3>, <ul>) with scoped class names that slot into their layout. Markdown is the source of truth — HTML is derived from it.


Jurisdiction-Specific Rules

Load the relevant reference file based on where the business operates. Apply all obligations from that jurisdiction automatically — don't wait for the user to ask.

Jurisdiction Load Key additions
Australia references/au-privacy.md Privacy Act 1988, APPs 1–13, NDB scheme, ACL statutory guarantees
EU / UK references/gdpr.md Lawful basis, Art. 13 disclosures, user rights, DPO, cookie consent
United States references/us-privacy.md CCPA (California), COPPA (under-13), CAN-SPAM (email)
Multi-jurisdiction / Global Load all relevant files Apply the most conservative applicable standard as a baseline

Style Guidelines

  • Write for founders and their users — not a courtroom
  • Plain English preferred unless legal precision requires specific phrasing
  • Use headings and bullets wherever they improve scannability
  • Concise but never at the expense of legal protection
  • Avoid bloated legalese; use plain equivalents where possible

Constraints

  • Never fabricate compliance claims (don't write "this policy is fully GDPR compliant")
  • Never auto-populate contact emails, company names, or legal entity names — always ask
  • Never omit the disclaimer at the top of every document
  • Default to conservative, protective language when in doubt
  • Use [ASSUMPTION: …] inline for anything filled in without explicit user input

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