requirements-brainstormer

Brainstorm missing FRD requirements across five gap categories for human approval.

Updated Aug 23, 2026

Search Tags:#requirements #edge-cases #brainstorm #frd #ai-assisted #gap-analysis #nfr

Ready to run

npx skills add https://github.com/mattfuster/aisef-setup --skill requirements-brainstormer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: requirements-brainstormer
Source: https://github.com/mattfuster/aisef-setup/tree/main/.claude/skills/requirements-brainstormer
Command: npx skills add https://github.com/mattfuster/aisef-setup --skill requirements-brainstormer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Brainstorms missing requirements for a draft FRD by surfacing edge cases, non-functional considerations, domain patterns, and inter-feature interactions that humans may overlook.

Core Features & Use Cases

Systematic gap analysis: analyzes FRDs against five gap categories (edge cases, non-functional, feature interactions, domain patterns, negative/failure cases) and proposes concrete requirements in batches.
Human-in-the-loop workflow: ensures every AI-proposed requirement requires explicit human approval before inclusion, preserving decision authority.
Round-based proposal cadence: delivers 3–5 proposals per batch with clear accept/modify/reject options and traceability tags.

Quick Start

Initiate a 3–5 proposal brainstorm cycle on the active FRD and review AI-proposed requirements.

Frequently Asked Questions about requirements-brainstormer

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

FAQPage Schema

How do I brainstorm missing requirements during an FRD gap analysis?▼

Brainstorming missing requirements during FRD gap analysis involves an AI-assisted workflow that surfaces edge cases, non-functional considerations, domain patterns, and feature interactions. It generates 3–5 proposed requirements per batch for human review and approval, ensuring comprehensive coverage.

What is AI-assisted FRD gap discovery and how does it work?▼

AI-assisted FRD gap discovery analyzes draft Functional Requirements Documents against five categories: edge cases, non-functional needs, feature interactions, domain patterns, and failure cases. It proposes concrete missing requirements in batches of 3–5 for explicit human approval.

Can I use AI to find edge cases and non-functional requirements in my draft FRD?▼

Yes, AI can find edge cases and non-functional requirements in a draft FRD by systematically analyzing the document against five gap categories. It proposes 3–5 concrete requirements per batch, requiring explicit human approval before inclusion to preserve decision authority.

How do I start a brainstorm cycle for missing requirements on an active FRD?▼

Starting a brainstorm cycle for missing requirements on an active FRD requires initiating a round-based proposal session. The system delivers 3–5 AI-proposed requirements per batch with clear accept, modify, or reject options and traceability tags for each item.

What's the best way to ensure human approval for AI-proposed requirements?▼

Ensuring human approval for AI-proposed requirements requires a human-in-the-loop workflow with batch proposals. This approach delivers 3–5 requirements per round, provides accept/modify/reject options, and applies traceability tagging to preserve human decision authority.

When should I not use AI-assisted brainstorming for requirements?▼

AI-assisted brainstorming for requirements should not be used when you need final decision authority without review, because every AI-proposed requirement requires explicit human approval. It is designed specifically for FRD reviews and gap analysis sessions, not autonomous requirement generation.