brainstorm▌
johnlindquist/claude · updated Apr 8, 2026
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Generate and explore ideas systematically.
Brainstorming Assistant
Generate and explore ideas systematically.
Prerequisites
pip install google-generativeai
export GEMINI_API_KEY=your_api_key
Brainstorming Operations
Generate Ideas
gemini -m pro -o text -e "" "Generate 10 creative ideas for: [topic]
Requirements:
- Mix of conventional and unconventional
- Varying levels of complexity
- Consider different user perspectives
- Include at least 2 'wild card' ideas
For each idea:
- Brief description
- Key benefit
- Main challenge"
Quick Brainstorm
gemini -m pro -o text -e "" "Quick brainstorm (5 ideas in 1 sentence each):
Topic: [your topic]
Just list ideas, no explanation needed."
Expand an Idea
gemini -m pro -o text -e "" "Expand on this idea:
IDEA: [brief idea]
CONTEXT: [relevant background]
Explore:
1. How it would work in practice
2. Required components/resources
3. Potential variations
4. Who would benefit most
5. First steps to validate"
Structured Techniques
SCAMPER Method
gemini -m pro -o text -e "" "Apply SCAMPER to: [product/feature/process]
- Substitute: What can be replaced?
- Combine: What can be merged?
- Adapt: What can be modified?
- Modify/Magnify: What can be enlarged or emphasized?
- Put to other uses: What else could this be used for?
- Eliminate: What can be removed?
- Reverse/Rearrange: What can be reorganized?"
Six Thinking Hats
gemini -m pro -o text -e "" "Analyze this decision using Six Thinking Hats:
DECISION: [what you're considering]
- White Hat (Facts): What do we know?
- Red Hat (Feelings): Gut reactions?
- Black Hat (Caution): What could go wrong?
- Yellow Hat (Optimism): What are the benefits?
- Green Hat (Creativity): What alternatives exist?
- Blue Hat (Process): What's the best approach?"
Reverse Brainstorming
gemini -m pro -o text -e "" "Reverse brainstorm: How could we make [goal] FAIL?
Goal: [your goal]
1. List ways to guarantee failure
2. Then flip each into a success strategy
3. Identify hidden risks from the failure scenarios"
Constraint Removal
gemini -m pro -o text -e "" "Brainstorm without constraints:
PROBLEM: [your problem]
CURRENT CONSTRAINTS: [list constraints]
1. What would you do with unlimited budget?
2. What if time wasn't a factor?
3. What if you had any technology?
4. What if there were no legacy systems?
Then: Which ideas can be scaled down to reality?"
Domain-Specific Brainstorms
Feature Ideas
gemini -m pro -o text -e "" "Generate feature ideas for:
PRODUCT: [description]
USERS: [who uses it]
CURRENT PAIN POINTS: [list issues]
Suggest features that:
- Solve real problems
- Differentiate from competitors
- Are technically feasible
- Can be built incrementally"
Architecture Options
gemini -m pro -o text -e "" "Brainstorm architecture approaches for:
REQUIREMENTS:
- [requirement 1]
- [requirement 2]
CONSTRAINTS:
- [constraint 1]
- [constraint 2]
Generate 5 different architectural approaches with trade-offs."
Naming Ideas
gemini -m pro -o text -e "" "Generate name ideas for:
WHAT: [what is being named]
QUALITIES: [characteristics to convey]
AVOID: [things to avoid]
Provide 15 options across categories:
- Descriptive names
- Abstract/creative names
- Compound words
- Acronyms
- References/allusions"
Problem Decomposition
gemini -m pro -o text -e "" "Break down this complex problem:
PROBLEM: [description]
1. Identify sub-problems
2. Find the core challenge
3. Map dependencies between parts
4. Suggest which to tackle first
5. Identify quick wins vs. hard parts"
Evaluation and Selection
Idea Evaluation
gemini -m pro -o text -e "" "Evaluate these ideas against criteria:
IDEAS:
1. [idea 1]
2. [idea 2]
3. [idea 3]
CRITERIA:
- Feasibility (1-5)
- Impact (1-5)
- Effort (1-5, lower is better)
- Risk (1-5, lower is better)
Create a comparison matrix and recommend top choice."
Combine Ideas
gemini -m pro -o text -e "" "Combine the best elements of these ideas:
IDEA A: [description]
IDEA B: [description]
IDEA C: [description]
Create hybrid approaches that take the strengths of each."
Best Practices
- Quantity first - Generate many ideas before judging
- Defer judgment - Don't critique during generation
- Build on ideas - Use 'yes, and...' thinking
- Embrace wild ideas - They often lead to practical ones
- Visualize - Sketch or diagram ideas
- Set constraints - Paradoxically, limits boost creativity
- Take breaks - Let ideas incubate
- Mix inputs - Combine different perspectives
How to use brainstorm 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 development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add brainstorm
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches brainstorm from GitHub repository johnlindquist/claude and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate brainstorm. Access the skill through slash commands (e.g., /brainstorm) or your agent's skill management interface.
Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate 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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★50 reviews- ★★★★★Mia Lopez· Dec 24, 2024
brainstorm has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Min Mehta· Dec 8, 2024
brainstorm reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Nikhil Diallo· Nov 27, 2024
I recommend brainstorm for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Arjun Chawla· Nov 15, 2024
Keeps context tight: brainstorm is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Arjun Bhatia· Nov 11, 2024
brainstorm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★James Martinez· Oct 18, 2024
Useful defaults in brainstorm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hana Smith· Oct 6, 2024
brainstorm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hana Verma· Oct 2, 2024
We added brainstorm from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yash Thakker· Sep 25, 2024
Registry listing for brainstorm matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★James Robinson· Sep 17, 2024
brainstorm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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