Where are the generated requirements documents stored?

The skill automatically creates a 'prds/' directory in your project root and saves each feature requirement as an individual Markdown file.

Does it support agile development workflows?

Absolutely. It generates full user stories with the 'As a... I want... so that...' format and includes specific acceptance criteria and success metrics.

How does Create-PRD simplify the requirement gathering process?

It uses an interactive multi-choice questioning format (e.g., 1A, 2B) to quickly narrow down project scope, user roles, and persistence requirements before drafting the document.

Can the PRDs generated by this skill be used by other AI agents?

Yes, the skill is specifically designed to output unambiguous, numbered requirements and verifiable criteria that are optimized for both human developers and AI coding agents.

Interactive PRD Creator

Name: Interactive PRD Creator
Author: richtabor

byrichtabor

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Collaboration Tools

Generates detailed Product Requirements Documents through an interactive discovery process and structured questioning.

About

The Create-PRD skill streamlines the software planning phase by guiding users through a structured discovery process. It minimizes ambiguity by asking clarifying questions with selectable options to define scope, then automatically generates a comprehensive Markdown PRD. The resulting documents include user stories with verifiable acceptance criteria, functional requirements, and technical considerations, saving the output directly to your repository for immediate use by developers or AI agents.

Key Features

Lettered response system for rapid requirement selection
33 GitHub stars
Interactive discovery sessions with 3-5 targeted clarifying questions
Automatic file management within a dedicated prds/ directory
Verifiable acceptance criteria tailored for junior developers and AI agents
Standardized Markdown PRD generation with user stories and success metrics

Use Cases

Creating clear, unambiguous hand-off documents for AI agents to execute
Standardizing documentation formats across a distributed engineering team
Defining new application features during the initial scoping and planning phase

About

Key Features

Lettered response system for rapid requirement selection
33 GitHub stars
Interactive discovery sessions with 3-5 targeted clarifying questions
Automatic file management within a dedicated prds/ directory
Verifiable acceptance criteria tailored for junior developers and AI agents
Standardized Markdown PRD generation with user stories and success metrics

Use Cases

Creating clear, unambiguous hand-off documents for AI agents to execute
Standardizing documentation formats across a distributed engineering team
Defining new application features during the initial scoping and planning phase