prd-analyze

Extract modules, user stories, NFRs, constraints, and dependencies from a PRD into YAML.

1|1|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/ezagent42/prd2impl --skill prd-analyze-ezagent42
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prd-analyze
Source: https://github.com/ezagent42/prd2impl/tree/main/skills/skill-1-prd-analyze
Command: npx skills add https://github.com/ezagent42/prd2impl --skill prd-analyze-ezagent42

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PRDs are often informal or scattered across documents. This skill parses a Product Requirements Document into a structured, machine-queryable YAML schema that captures modules, user stories, non-functional requirements (NFRs), constraints, and external dependencies.

Core Features & Use Cases

  • Structured extraction: convert PRDs into a repeatable YAML format that is easy to migrate into planning tools.
  • Traceability & planning: produce a plan-ready structure with clear module boundaries and cross-references for validation.
  • Use Case: Start a new project by feeding a PRD and generate a prd-structure YAML with modules, stories, and dependencies.

Quick Start

Parse a PRD document (markdown, PDF, or text) to produce a structured YAML outline of modules, user stories, NFRs, constraints, and dependencies.

Frequently Asked Questions about prd-analyze

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

FAQPage Schema
How do I extract user stories and NFRs from a PRD into a structured format?

Parsing a PRD into structured YAML extracts modules, user stories, NFRs, constraints, and dependencies into a repeatable format. This creates clear module boundaries and cross-references for downstream validation and plan generation.

Can I parse a markdown PRD to generate a project plan with module boundaries?

Yes, you can parse a markdown PRD to generate a project plan. The skill accepts markdown, PDF, or text documents and produces a plan-ready YAML structure with clearly defined module boundaries and dependencies for automation.

What is the best way to convert scattered product requirements into machine-queryable data?

The best way to convert scattered product requirements into machine-queryable data is parsing them into a structured YAML schema. This approach captures external dependencies and constraints, making the requirements easy to migrate into planning tools.

Does PRD analysis support cross-referencing dependencies for downstream automation?

PRD analysis supports cross-referencing dependencies for downstream automation by extracting structured data into YAML. The output explicitly maps external dependencies and module constraints to validate requirements and generate actionable plans.

Do I need a specific format to parse requirements and output a prd-structure YAML?

You do not need a specific format to parse requirements and output a prd-structure YAML. The skill processes markdown, PDF, or plain text PRDs directly without requiring a pre-formatted document structure.