Why does it only ask one question at a time?

This focused approach prevents information overload and ensures each constraint or requirement is fully understood and validated before moving to the next design stage.

What documentation does it produce?

It creates a structured design document in your project's docs folder and commits it to your Git repository for permanent tracking.

Does it generate code immediately?

No, it focuses on design and documentation first to ensure the plan is solid, then helps create a task-based implementation roadmap if you choose to proceed.

When should I use the Brainstorming skill?

Use it when requirements are fuzzy, multiple implementation paths exist, or you need to validate a high-level design before writing code.

How does this skill help with architectural decisions?

It identifies at least three distinct approaches, explains the pros and cons of each, and provides a clear recommendation based on your specific project constraints.

Brainstorming & Technical Design

Name: Brainstorming & Technical Design
Author: Light-Brands

byLight-Brands

Collaboration Tools

Facilitates collaborative design sessions to transform rough ideas into structured implementation plans through iterative dialogue and alternative exploration.

About

The Brainstorming skill transforms Claude into a strategic partner that helps navigate fuzzy requirements and complex architectural decisions before any code is written. By using a disciplined, one-question-at-a-time approach, it explores multiple implementation paths, weighs technical tradeoffs, and incrementally validates design sections. This ensures that the final blueprint is robust, documented in your repository, and perfectly aligned with your project's goals before the implementation phase begins.

Key Features

Automatic generation of structured markdown design documentation
Iterative context discovery through focused, single-question prompts
Incremental design validation to catch misunderstandings early
0 GitHub stars
Comparative analysis of multiple architectural approaches with clear tradeoffs
Direct Git integration for tracking architectural decisions

Use Cases

Evaluating architectural tradeoffs between different system patterns
Refining vague feature requests into concrete technical requirements
Building a step-by-step implementation roadmap for complex integrations

About

Key Features

Automatic generation of structured markdown design documentation
Iterative context discovery through focused, single-question prompts
Incremental design validation to catch misunderstandings early
0 GitHub stars
Comparative analysis of multiple architectural approaches with clear tradeoffs
Direct Git integration for tracking architectural decisions

Use Cases

Evaluating architectural tradeoffs between different system patterns
Refining vague feature requests into concrete technical requirements
Building a step-by-step implementation roadmap for complex integrations