This skill guides users through the brainstorming process, moving from an idea to an approved design direction without unnecessary overhead. It is aimed at teams or individuals involved in design and decision-making, ensuring clarity and direction before implementation.
$ npx skills add https://github.com/roin-orca/skills --skill simplefun-brainstorming is a simplified brainstorming skill designed for speed and practical decision-making. It maintains structured thinking and exploration of alternatives while removing overhead like sequential single-question discovery and rigid multi-phase flows. The skill is optimized for quick feature additions, bug fix planning, refactoring decisions, and sessions under 30 minutes where fast approval is needed before implementation. It works best when the problem scope is already mostly clear and you need to decide between a few concrete options rather than conduct extensive upfront discovery.
Install using the command: `$ npx skills add https://github.com/roin-orca/skills --skill simple`
Facilitating quick design decisions
Helping teams clarify project goals
Streamlining the brainstorming process for software features
$ npx skills add https://github.com/roin-orca/skills --skill simplegit clone https://github.com/roin-orca/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I’m brainstorming a new [PRODUCT/SERVICE/CONCEPT] for [COMPANY] in the [INDUSTRY] space. Start by helping me define the core problem or opportunity this [PRODUCT/SERVICE/CONCEPT] addresses. Then, guide me through generating 5-10 initial ideas, filtering them down to the top 3 based on feasibility and impact, and finally refining the best idea into a rough design direction or action plan. Keep the process structured but flexible—ask clarifying questions as needed to ensure we’re aligned on goals and constraints.
### Brainstorming Session: New Mobile App for EcoCart **1. Defining the Core Problem:** What problem or opportunity is EcoCart’s new mobile app addressing? - *Current pain point:* Users want to track their carbon footprint from purchases but find existing tools too complex or disconnected from their shopping habits. - *Opportunity:* Simplify carbon tracking by integrating with e-commerce platforms and providing real-time, actionable insights. **2. Generating Initial Ideas:** Here are 5 initial concepts: - **Idea 1:** A gamified app that rewards users for eco-friendly purchases with discounts from partner brands. - **Idea 2:** A browser extension that calculates carbon footprint per order and suggests greener alternatives. - **Idea 3:** A social feed where users share their sustainability wins and challenges. - **Idea 4:** A dashboard that aggregates carbon data from multiple sources (bank transactions, loyalty programs). - **Idea 5:** A chatbot that helps users plan low-carbon shopping lists before they buy. **3. Filtering to Top 3:** After evaluating feasibility and impact: - **Top Idea:** *Browser extension* (Idea 2) – Low development effort, high user adoption potential. - **Runner-up:** *Gamified app* (Idea 1) – Engaging but requires more resources. - **Wildcard:** *Social feed* (Idea 3) – High engagement but may dilute the primary focus. **4. Refining the Top Idea:** **Design Direction for Browser Extension:** - **Core Features:** - Real-time carbon footprint calculation per order. - Suggestions for greener alternatives (e.g., "Switch to Brand X for 30% lower emissions"). - Integration with major e-commerce platforms (Amazon, Etsy, etc.). - **User Flow:** 1. Install extension → 2. Shop as usual → 3. View carbon impact post-purchase → 4. Receive tips for next purchase. - **Next Steps:** - Validate demand with a landing page and waitlist. - Develop a prototype for user testing. **Action Plan:** - Week 1-2: Research competitor extensions and user pain points. - Week 3-4: Design wireframes for the extension. - Week 5-6: Build a minimal viable prototype. Would you like to dive deeper into any of these steps?
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