hearing-to-requirements-mapper

Transform unstructured hearing sheets into classified requirements with traceability outputs.

5|4|Updated Nov 9, 2025
One-click install
npx skills add https://github.com/takusaotome/claude-skills-library --skill hearing-to-requirements-mapper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hearing-to-requirements-mapper
Source: https://github.com/takusaotome/claude-skills-library/tree/main/skills/hearing-to-requirements-mapper
Command: npx skills add https://github.com/takusaotome/claude-skills-library --skill hearing-to-requirements-mapper

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill removes the chaos of transforming unstructured hearing sheets and meeting notes into formal, testable requirements by producing a structured requirements set, traceability artifacts, and a gap/ambiguity report.

Core Features & Use Cases

  • Extract & parse hearing data: Loads hearing sheets, meeting notes, or transcripts and extracts requirement statements while preserving source context for traceability.
  • Classify requirements (BR/SR/FR/NFR/CON/ASM) with MoSCoW: Organizes requirements into business, stakeholder, functional, non-functional, constraints, and assumptions, and applies Must/Should/Could/Won’t priority.
  • Detect gaps, ambiguities, and conflicts: Flags vague quantifiers, open-ended lists, temporal vagueness, and passive/unclear responsibility patterns using a checklist-driven approach.
  • Map requirements to WBS and generate RTM: Maps requirements to WBS items and generates a requirements traceability matrix (including Excel output support).
  • Produce bilingual requirements documents (JA/EN): Supports Japanese/English workflows using configurable templates for final documentation.

Quick Start

Use the hearing-to-requirements-mapper skill to convert your attached hearing sheet into a structured requirements JSON and a requirements document using its default bilingual templates.

Frequently Asked Questions about hearing-to-requirements-mapper

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

FAQPage Schema
How do I convert unstructured hearing notes into traceable requirements?

To convert unstructured hearing notes into traceable requirements, this tool parses client meeting transcripts to extract statements, classify them by BR/SR/FR/NFR type, apply MoSCoW prioritization, and generate a requirements traceability matrix.

What is the best way to map requirements to WBS items from meeting notes?

Mapping requirements to WBS items from meeting notes is achieved by extracting source context from transcripts, classifying requirements, and linking them directly to WBS entries while generating an RTM export for review.

Can I generate bilingual Japanese and English requirements documents from a single hearing sheet?

Yes, you can generate bilingual Japanese and English requirements documents from a single hearing sheet using configurable templates that support both languages throughout the extraction and traceability workflow.

How does gap analysis detect ambiguities and conflicts in requirements?

Gap analysis detects ambiguities and conflicts by using a checklist-driven approach to flag vague quantifiers, open-ended lists, temporal vagueness, and passive or unclear responsibility patterns in the extracted requirements.

Does this requirements extraction tool support Excel output for traceability matrices?

Yes, this requirements extraction tool supports Excel output, allowing you to export the generated requirements traceability matrix and mapped WBS items directly for planning and review.

When should I use MoSCoW prioritization for classifying stakeholder requirements?

You should use MoSCoW prioritization for classifying stakeholder requirements when transforming raw hearing data into structured categories like business, functional, and non-functional requirements to determine delivery priority.