prd-author

Guide users through creating Ralph-RLM Framework PRDs with quality gates.

Updated Jan 26, 2026

Search Tags:#project management #documentation #requirements #ai development #prd #ralph rlm

Ready to run

npx skills add https://github.com/Was85/ralph-rlm-agent-framework --skill prd-author

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prd-author
Source: https://github.com/Was85/ralph-rlm-agent-framework/tree/main/claude-code/shell/.claude/skills/ralph/prd-author
Command: npx skills add https://github.com/Was85/ralph-rlm-agent-framework --skill prd-author

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the creation of Product Requirements Documents (PRDs) specifically for the Ralph-RLM Framework, ensuring clarity and completeness to prevent AI implementation failures.

Core Features & Use Cases

Interactive Guidance: Asks targeted questions to gather all necessary project details.
Structured Output: Generates PRDs that adhere to Ralph's expected format, including Quality Gates and machine-verifiable criteria.
Use Case: A new project lead needs to define requirements for an AI-driven development task. They use this skill to be guided through defining features, error handling, and testing procedures, resulting in a robust PRD that Ralph can immediately process.

Quick Start

Use the prd-author skill to help me create a PRD for a new e-commerce feature.

Frequently Asked Questions about prd-author

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create a PRD for AI development without missing critical requirements?▼

Creating a PRD for AI development requires interactively defining project type, technical stack, user needs, and detailed requirements to ensure machine-verifiable, well-scoped features that prevent implementation failures.

What is a Product Requirements Document structured for the Ralph-RLM framework?▼

A Ralph-RLM PRD is a structured requirements document that includes Quality Gates, dependency analysis, and machine-verifiable criteria, ensuring the framework can immediately process and validate the defined features.

How do I ensure my project requirements are machine-verifiable for AI implementation?▼

To ensure requirements are machine-verifiable, you must structure them with explicit Quality Gate commands and detailed testing procedures, guiding the AI through defining features and error handling.

Do I need to define error handling and testing procedures before generating a PRD?▼

You do not need to prepare them beforehand; the interactive guidance elicits detailed requirements, error handling, and testing procedures on the fly to build a robust document.

Can I use this interactive PRD guidance for any technical stack?▼

Yes, the interactive guidance elicits your specific technical stack and project type to tailor the PRD output, ensuring the generated document fits your specific development context.

Why does AI implementation fail without a well-scoped PRD?▼

AI implementation fails without a well-scoped PRD due to ambiguity, missing dependency analysis, and undefined quality gates, which this interactive document creation process explicitly prevents.