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.