brainstorming
Collaborative design exploration through structured dialogue before implementation.
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Install Skill
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What it does
Guides idea refinement through one-question-at-a-time conversations, starting with project context and user intent
Proposes 2-3 alternative approaches with trade-offs before settling on a recommended design
Presents validated designs in 200-300 word sections covering architecture, components, data flow, error handling, and testing
Outputs finalized designs to timestamped markdown documents and inte
Installation Guide
How to use brainstorming on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
brainstorming
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches brainstorming from davila7/claude-code-templates and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate brainstorming. Access via /brainstorming in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
Brainstorming Ideas Into Designs
Overview
Help turn ideas into fully formed designs and specs through natural collaborative dialogue.
Start by understanding the current project context, then ask questions one at a time to refine the idea. Once you understand what you're building, present the design in small sections (200-300 words), checking after each section whether it looks right so far.
The Process
Understanding the idea:
- Check out the current project state first (files, docs, recent commits)
- Ask questions one at a time to refine the idea
- Prefer multiple choice questions when possible, but open-ended is fine too
- Only one question per message - if a topic needs more exploration, break it into multiple questions
- Focus on understanding: purpose, constraints, success criteria
Exploring approaches:
- Propose 2-3 different approaches with trade-offs
- Present options conversationally with your recommendation and reasoning
- Lead with your recommended option and explain why
Presenting the design:
- Once you believe you understand what you're building, present the design
- Break it into sections of 200-300 words
- Ask after each section whether it looks right so far
- Cover: architecture, components, data flow, error handling, testing
- Be ready to go back and clarify if something doesn't make sense
After the Design
Documentation:
- Write the validated design to
docs/plans/YYYY-MM-DD-<topic>-design.md - Use elements-of-style:writing-clearly-and-concisely skill if available
- Commit the design document to git
Implementation (if continuing):
- Ask: "Ready to set up for implementation?"
- Use superpowers:using-git-worktrees to create isolated workspace
- Use superpowers:writing-plans to create detailed implementation plan
Key Principles
- One question at a time - Don't overwhelm with multiple questions
- Multiple choice preferred - Easier to answer than open-ended when possible
- YAGNI ruthlessly - Remove unnecessary features from all designs
- Explore alternatives - Always propose 2-3 approaches before settling
- Incremental validation - Present design in sections, validate each
- Be flexible - Go back and clarify when something doesn't make sense
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- SShikha Mishra★★★★★Dec 24, 2024
We added brainstorming from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- HHana Torres★★★★★Dec 16, 2024
brainstorming fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- MMin Brown★★★★★Dec 12, 2024
brainstorming reduced setup friction for our internal harness; good balance of opinion and flexibility.
- OOlivia Ghosh★★★★★Dec 8, 2024
I recommend brainstorming for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- LLiam Khan★★★★★Nov 27, 2024
Useful defaults in brainstorming — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- YYash Thakker★★★★★Nov 15, 2024
brainstorming reduced setup friction for our internal harness; good balance of opinion and flexibility.
- SSoo Bhatia★★★★★Nov 3, 2024
We added brainstorming from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- SSofia Abebe★★★★★Oct 22, 2024
Keeps context tight: brainstorming is the kind of skill you can hand to a new teammate without a long onboarding doc.
- LLiam Reddy★★★★★Oct 18, 2024
Registry listing for brainstorming matched our evaluation — installs cleanly and behaves as described in the markdown.
- DDhruvi Jain★★★★★Oct 6, 2024
brainstorming is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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