requirement-analysis

Convert natural language requirements into a structured JSON analysis document.

23|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/dawei12138/casego-backend-pg --skill requirement-analysis-dawei12138
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: requirement-analysis
Source: https://github.com/dawei12138/casego-backend-pg/tree/main/CaseGo/skills/requirement-analysis
Command: npx skills add https://github.com/dawei12138/casego-backend-pg --skill requirement-analysis-dawei12138

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill converts unstructured natural language requirements into a structured, testable analysis document that can serve as the input for automated test-case generation.

Core Features & Use Cases

  • Structured requirement analysis output tailored for test-case generation
  • Supports explicit and implicit business rules extraction, risk assessment, and workflow tracing
  • Produces a JSON-ready data model and step-by-step progression artifacts that feed downstream skills

Quick Start

Provide your requirements in natural language (or a PRD) and the skill will generate a standardized requirement analysis report.

Frequently Asked Questions about requirement-analysis

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

FAQPage Schema
How do I convert natural language requirements into a structured test-ready analysis?

To convert natural language requirements into a structured test-ready analysis, provide your unstructured product requirements or PRDs to generate a standardized requirement analysis report featuring explicit and implicit business rules.

How does requirement analysis handle implicit business rules and risk assessment?

Requirement analysis identifies implicit business rules and performs risk assessment by structuring natural language inputs into a formal data model, ensuring all potential scenarios and risks are captured for downstream test-case generation.

Can I use a PRD to generate a JSON data model for test-case generation workflows?

Yes, you can use a PRD to generate a JSON-ready data model. The analysis structures user stories and business scenarios into progression steps that feed directly into automated test-case generation workflows.

What is the best way to structure user stories for consistent handoffs to test-case generation?

The best way to structure user stories for consistent handoffs is to transform them into a formal analysis document with rules-based extraction, risk assessment, and traceable progression artifacts.

Does requirement analysis work for business scenarios without explicit specifications?

Yes, requirement analysis works for business scenarios without explicit specifications by capturing both explicit and implicit rules from natural language descriptions to ensure comprehensive test coverage.