Does it support long-term project memory?

Yes, it leverages MCP Memory to persist design decisions across sessions, allowing Claude to recall user preferences and maintain project knowledge over time.

When should I use the Brainstorming Methodology skill?

Use this skill during the early stages of a project when you have a high-level idea but lack a concrete implementation plan, or when making complex architectural decisions with multiple valid approaches.

What is the output of this skill?

The final output is a comprehensive, timestamped Markdown design document including architecture overview, component breakdown, data flow, error handling, and testing strategies.

How does it help with the YAGNI principle?

The skill includes a 'YAGNI Ruthlessly' principle that aggressively questions 'nice-to-have' features, helping you focus on a minimal viable design and avoiding unnecessary complexity.

Brainstorming Methodology

Name: Brainstorming Methodology
Author: vietlinhh02

byvietlinhh02

生産性とワークフロー

Guides users through a structured, interactive design process to transform ambiguous ideas into validated technical architectures.

概要

The Brainstorming Methodology skill provides a systematic three-phase framework—Understanding, Exploration, and Design Presentation—designed to refine rough concepts into fully-formed technical designs. By employing sequential questioning, multiple-choice options, and rigorous trade-off analysis, it helps developers navigate complex architectural decisions while adhering to YAGNI principles. This skill ensures that requirements are fully understood and validated before implementation begins, resulting in cleaner documentation and more focused development cycles.

主な機能

Integration with Sequential Thinking and Memory MCPs to track reasoning and persist decisions.
0 GitHub stars
Sequential questioning process to prevent cognitive overload and ensure deep exploration.
Incremental design validation broken into digestible, 200-300 word sections.
Comparative architecture analysis with clear pros, cons, and recommendations.
Automated generation of timestamped markdown design documents covering data flow and testing.

ユースケース

Breaking down high-level business goals into actionable technical component designs.
Architecting new features with complex or undefined requirements.
Evaluating multiple technical approaches and choosing the most efficient path.

概要

主な機能

Integration with Sequential Thinking and Memory MCPs to track reasoning and persist decisions.
0 GitHub stars
Sequential questioning process to prevent cognitive overload and ensure deep exploration.
Incremental design validation broken into digestible, 200-300 word sections.
Comparative architecture analysis with clear pros, cons, and recommendations.
Automated generation of timestamped markdown design documents covering data flow and testing.

ユースケース

Breaking down high-level business goals into actionable technical component designs.
Architecting new features with complex or undefined requirements.
Evaluating multiple technical approaches and choosing the most efficient path.