How does it ensure requirement quality?

It applies the SMART framework (Specific, Measurable, Achievable, Relevant, Time-bound) and provides a comprehensive completeness checklist for every requirement.

Can it generate documentation formats?

Yes, it can output full Requirement Specification Documents, Traceability Matrices, and Stakeholder Analysis maps in Markdown and YAML formats.

Is this skill specific to any programming language?

No, the Requirement Analyzer is technology-agnostic and works for web, mobile, desktop, API, and even machine learning projects.

Which prioritization methods are supported?

The skill supports both the MoSCoW method (Must, Should, Could, Won't) and the Kano Model for balancing user delight and basic needs.

Generic Requirement Analyzer

Name: Generic Requirement Analyzer
Author: masanao-ohba

bymasanao-ohba

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Herramientas de Colaboración

Analyzes, categorizes, and documents software requirements using industry-standard engineering frameworks and prioritization models.

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The Generic Requirement Analyzer is a comprehensive tool for software engineers and product managers to bridge the gap between high-level ideas and technical execution. It leverages structured frameworks like MoSCoW prioritization, Kano modeling, and SMART criteria to ensure every project requirement is clear, measurable, and actionable. By decomposing needs into functional and non-functional categories, mapping stakeholders, and establishing traceability, this skill helps teams avoid scope creep and build systems that truly align with business goals and user needs.

Características Principales

Universal user story generation with detailed Gherkin-style acceptance criteria
Dual-framework prioritization using MoSCoW and Kano models
SMART validation logic to ensure high-quality, testable requirements
Automated stakeholder mapping and risk-interest matrix generation
2 GitHub stars
Structured requirement decomposition into functional and non-functional categories

Casos de Uso

Translating vague stakeholder requests into technical requirement specifications
Auditing project documentation for gaps in non-functional requirements like security and performance
Prioritizing product backlogs based on business value and technical constraints

Acerca de

Características Principales

Universal user story generation with detailed Gherkin-style acceptance criteria
Dual-framework prioritization using MoSCoW and Kano models
SMART validation logic to ensure high-quality, testable requirements
Automated stakeholder mapping and risk-interest matrix generation
2 GitHub stars
Structured requirement decomposition into functional and non-functional categories

Casos de Uso

Translating vague stakeholder requests into technical requirement specifications
Auditing project documentation for gaps in non-functional requirements like security and performance
Prioritizing product backlogs based on business value and technical constraints