brainstorm

A structured project requirements generator with a focus on MVP definition.

Updated Mar 6, 2026
One-click install
npx skills add https://github.com/Lin117-shygo/ros_car --skill brainstorm-lin117-shygo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: brainstorm
Source: https://github.com/Lin117-shygo/ros_car/tree/main/.agents/skills/brainstorm
Command: npx skills add https://github.com/Lin117-shygo/ros_car --skill brainstorm-lin117-shygo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Brainstorm helps teams and AI agents rapidly discover and document project requirements before implementation, reducing rework and clarifying scope.

Core Features & Use Cases

  • Task definition and goal capture at the start
  • Research-first guidance and MVP framing
  • PRD seed generation and iterative refinement

Quick Start

Describe the task and constraints to generate an initial PRD seed.

Frequently Asked Questions about brainstorm

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

FAQPage Schema
How do I generate a PRD from ambiguous project requirements?▼

To generate a PRD from ambiguous requirements, define your initial task and constraints to generate a PRD seed. The AI then uses iterative refinement and structured exploration prompts to clarify scope and produce an MVP-ready outline.

What is the best way to streamline requirements discovery before writing code?▼

The best way to streamline requirements discovery is using a task-first framing approach to guide AI through collaborative exploration. This enforces PRD seeding and structured prompts to clarify evolving project scope before implementation begins.

How do I structure an MVP scope when multiple viable approaches exist?▼

To structure an MVP scope when multiple viable approaches exist, apply structured exploration prompts to evaluate trade-offs. This guides the AI to resolve ambiguous requirements and produce a targeted MVP-ready outline.

Can I use AI to reduce project rework during the planning phase?▼

Yes, you can use AI to reduce project rework by enforcing research-first guidance and PRD seeding during the planning phase. This rapidly documents project requirements and clarifies scope before implementation.

What are the limitations of using AI for collaborative requirements discovery?▼

The limitation of AI requirements discovery is that it targets projects with evolving or ambiguous requirements where trade-offs matter, requiring a defined initial task and iterative refinement to produce an accurate MVP-ready outline.