What is the LLMREI pattern mentioned in this skill?

LLM-based Requirements Elicitation Interview (LLMREI) is a research-backed prompting strategy used by the AI to conduct structured interviews that capture deep tacit knowledge from stakeholders.

How does the autonomy configuration work?

You can choose between Guided mode for maximum human control, Semi-Autonomous for a balance of speed and checkpoints, and Fully Autonomous for rapid preliminary discovery in well-understood domains.

Can I use this skill if I don't have direct access to stakeholders?

Yes, the skill includes a stakeholder-simulation mode that uses multi-persona AI agents to provide diverse perspectives and validate requirements when real users are unavailable.

What formats can I export my requirements to?

The skill supports exporting gathered requirements into several industry-standard formats, including EARS (Easy Approach to Requirements Syntax), Gherkin/BDD, and a canonical YAML specification.

Requirements Elicitation Methodology

Name: Requirements Elicitation Methodology
Author: melodic-software

bymelodic-software

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Productivity & Workflow

Orchestrates multi-source requirements gathering through AI-driven interviews, document extraction, and stakeholder simulation.

This skill acts as a comprehensive command center for discovering and documenting project requirements within Claude Code. It provides a structured framework for selecting elicitation techniques—such as research-backed LLMREI interview patterns or multi-persona simulations—and orchestrates the entire workflow from initial discovery to validated specifications. By configuring autonomy levels from human-in-the-loop to fully autonomous, teams can efficiently capture user needs, identify functional gaps, and generate production-ready requirements in canonical formats for immediate development.

Key Features

01Automated gap analysis and INVEST scoring for quality assurance

02Multi-format exports to EARS, Gherkin, and canonical specifications

03Multi-source orchestration including interviews, documents, and research

04Configurable autonomy levels (Guided, Semi-Auto, and Full-Auto)

05Research-backed LLMREI interview prompting strategies

0612 GitHub stars

Use Cases

01Extracting functional requirements from legacy documentation and meeting transcripts

02Validating project completeness through multi-persona stakeholder simulation

03Kickstarting complex software projects with diverse stakeholder needs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add melodic-software/claude-code-plugins elicitation-methodology

For use in Claude.ai and ChatGPT

Download Skill