Regulated AI PRD for LLM Features & Agent Skills

Regulated AI PRD for LLM Features & Agent Skills

The Regulated AI PRD skill translates product requirements into testable criteria for AI systems, ensuring compliance and accountability in contexts where language models implement new features. This skill focuses on AI, agent, and machine learning-based systems, restructuring requirements to deal with the inherent non-determinism characteristic of these models. It enforces a regulated overlay for contexts such as finance or licensing by utilizing specific templates and examples for guidance.

What this skill does

• Converts acceptance criteria into evaluation sets instead of simple statements.
• Establishes non-determinism as a requirement for AI models.
• Treats system guardrails as features with designated owners.
• Provides regulatory oversight for actions, including license preconditions and data residency.
• Facilitates financial-crime escalations and audit-proof metrics.
• Includes a template (`regulated-ai-prd-template.md`) and a fully worked example (`examples/dispute-summary/PRD.md`).
• Implements checks using a Python script (`lint.py`) to ensure document completeness.

Who it is for

This skill is intended for developers and product teams employing AI coding agents such as Claude Code, Cursor, or Codex. It is particularly useful for product managers specifying features for systems where decisions and implementations are carried out by models rather than engineers.

Use cases

• Designing PRDs for AI systems involved in regulated activities like financial services or other licensed activities.
• Reviewing existing PRDs to replace vague AI instructions with precise, evaluable criteria.
• Structuring AI-driven features in a manner that provides clarity and accountability.
• Preparing to turn a demo of an AI feature into a deliverable for engineering teams.

Technical details

• Utilizes the `regulated-ai-prd-template.md` for structuring PRDs.
• Includes `examples/dispute-summary/PRD.md` as a reference example.
• Features `lint.py`, a completeness checker to validate documents before completion.
• Works with AI agent skills integrated into platforms like Claude Code, Cursor, and Codex.

This provides general workflow assistance only and is not legal, tax, accounting or financial advice.

Source & Licence

This package is built on open-source work published by RizwanZafaris (RizwanZafaris/product-manager-OS) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.