brainstorm▌
hyperb1iss/hyperskills · updated Apr 8, 2026
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Structured ideation using the Double Diamond model, grounded in persistent memory. Mined from 100+ real brainstorming sessions across production projects.
Collaborative Brainstorming
Structured ideation using the Double Diamond model, grounded in persistent memory. Mined from 100+ real brainstorming sessions across production projects.
Core insight: AI excels at divergent phases (volume, cross-domain connections). Humans excel at convergent phases (judgment, selection). This skill separates the two and uses Sibyl as institutional memory to prevent re-exploring solved problems.
The Process
digraph brainstorm {
rankdir=TB;
node [shape=box];
"1. GROUND" [style=filled, fillcolor="#e8e8ff"];
"2. DIVERGE: Problem" [style=filled, fillcolor="#ffe8e8"];
"3. CONVERGE: Define" [style=filled, fillcolor="#e8ffe8"];
"4. DIVERGE: Solutions" [style=filled, fillcolor="#ffe8e8"];
"5. CONVERGE: Decide" [style=filled, fillcolor="#e8ffe8"];
"EXIT → Any skill" [style=filled, fillcolor="#fff8e0"];
"1. GROUND" -> "2. DIVERGE: Problem";
"2. DIVERGE: Problem" -> "3. CONVERGE: Define";
"3. CONVERGE: Define" -> "4. DIVERGE: Solutions";
"4. DIVERGE: Solutions" -> "5. CONVERGE: Decide";
"5. CONVERGE: Decide" -> "EXIT → Any skill";
}
Phase 1: GROUND (Memory-First)
Before generating a single idea, search what we already know.
Actions
-
Search Sibyl for related patterns, past decisions, known constraints:
sibyl search "<topic keywords>"— find prior artsibyl search "<related architecture>"— find relevant patterns- Check for existing tasks/epics on this topic
-
Surface constraints — what's already decided? What's non-negotiable?
- Tech stack locked? Budget constraints? Timeline?
- Existing patterns we must follow?
-
Present prior art — show the user what Sibyl knows before ideating:
"Sibyl has 3 relevant entries: [pattern X from project Y], [decision Z from last month], [gotcha W]. Want to factor these in?"
Gate
If Sibyl has a directly applicable pattern or decision, present it first. Don't re-brainstorm solved problems.
Phase 2: DIVERGE — Explore the Problem Space
Goal: Generate breadth. Understand what we're actually solving.
Actions
-
Ask ONE question at a time to understand intent:
- What's the friction/pain point?
- Who benefits? How do they use it today?
- What does success look like?
-
Reframe the problem from multiple angles:
- User perspective: "As a [user], I need..."
- System perspective: "The system currently..."
- Constraint perspective: "We're bounded by..."
-
If the problem space is large, spawn parallel Explore agents:
Agent 1: Research how similar projects solve this Agent 2: Map the existing codebase surface area Agent 3: Search for SOTA approaches (WebSearch)
Anti-patterns
- Don't jump to solutions. This phase is about the PROBLEM.
- Don't ask 5 questions at once. One at a time, build understanding.
- Don't dismiss vague input — "make it faster" is valid; help sharpen it.
Phase 3: CONVERGE — Define the Core Problem
Goal: Narrow from exploration to a crisp problem statement.
Actions
- Synthesize what was explored into a 1-2 sentence problem statement
- Confirm with the user: "Is this what we're solving?"
- Identify scope boundaries — what's IN, what's OUT
Output
Problem: [crisp statement] In scope: [what we'll address] Out of scope: [what we won't] Key constraint: [the most important limiting factor]
Phase 4: DIVERGE — Explore Solutions
Goal: Generate multiple viable approaches. Quality through quantity.
Actions
-
Present 2-3 approaches with explicit tradeoffs:
Approach Pros Cons Complexity Risk A: [name] ... ... Low/Med/High ... B: [name] ... ... Low/Med/High ... C: [name] ... ... Low/Med/High ... -
Include at least one unconventional option — break fixation on the obvious path
-
Ground in existing patterns:
- "This follows the pattern we used in [project X]"
- "This diverges from our convention because [reason]"
-
For each approach, name the verification method:
- How would we know it works? (Test? Benchmark? Visual check?)
Exploration vs Exploitation
Balance like MCTS — don't fixate on the first decent idea:
- If all approaches look similar → push for a wild card option
- If approaches are wildly different → good, that's healthy divergence
- If the user gravitates early → present the contrarian case before converging
Anti-patterns
- Don't present 7 options. 2-3 is the sweet spot.
- Don't present options without tradeoffs. Every option has a cost.
- Don't present options that violate known constraints from Phase 1.
- Don't default to the most complex solution. Start simple, add complexity only if justified.
Phase 5: CONVERGE — Decide and Record
Goal: Lock in the approach. Record the decision. Exit to action.
Actions
-
Let the user choose. Present your recommendation but don't bulldoze.
-
Record the decision in Sibyl:
sibyl add "Brainstorm: [topic]" "Chose [approach] because [reason]. Rejected [other approaches] due to [tradeoffs]. Key constraint: [X]." -
Define next action — the brainstorm exits to whatever makes sense:
Next Step When /hyperskills:planComplex feature needing decomposition /hyperskills:researchNeed deeper investigation first /hyperskills:orchestrateReady to dispatch agents Direct implementation Simple enough to just build Write a spec Needs formal documentation
Output
Decision: [what we're doing] Approach: [which option, brief description] Why: [1-2 sentences on the reasoning] Next: [the immediate next action]
Quick Mode
For small decisions that don't need the full diamond:
- Search Sibyl (always)
- Present 2 options with tradeoffs (skip problem exploration)
- Decide and record
Use quick mode when: The problem is already well-understood and the user just needs help choosing between known options.
Multi-Agent Brainstorming
For complex architectural decisions, deploy a Council pattern:
Agent 1 (Advocate): Makes the strongest case FOR approach A
Agent 2 (Advocate): Makes the strongest case FOR approach B
Agent 3 (Critic): Finds flaws in BOTH approaches
Synthesize their outputs, then present the unified analysis to the user.
When to use: Architecture decisions affecting 3+ systems, technology selection, major refactors. Don't use for simple feature design.
What This Skill is NOT
- Not a gate. You don't need permission to skip phases. If the user says "just build it," build it.
- Not a waterfall. Phases can revisit. New information in Phase 4 can send you back to Phase 2.
- Not a document generator. The output is a decision, not a design doc (unless the user wants one).
- Not required for everything. Bug fixes, typo corrections, and clear-spec features don't need brainstorming.
YAGNI Check
Before concluding, ask: "Is there anything in this plan we don't actually need yet?" Strip it. Build the minimum that validates the approach.
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 hyperb1iss/hyperskills 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★★★★★41 reviews- ★★★★★Pratham Ware· Dec 28, 2024
brainstorm has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Valentina Smith· Dec 12, 2024
brainstorm fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Amelia Gonzalez· Nov 3, 2024
We added brainstorm from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★James Anderson· Oct 22, 2024
Solid pick for teams standardizing on skills: brainstorm is focused, and the summary matches what you get after install.
- ★★★★★Sakshi Patil· Sep 21, 2024
Solid pick for teams standardizing on skills: brainstorm is focused, and the summary matches what you get after install.
- ★★★★★Isabella Jackson· Sep 17, 2024
brainstorm reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kiara Ramirez· Sep 1, 2024
I recommend brainstorm for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★James White· Sep 1, 2024
We added brainstorm from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Maya Gill· Aug 20, 2024
brainstorm reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Michael Gill· Aug 20, 2024
Solid pick for teams standardizing on skills: brainstorm is focused, and the summary matches what you get after install.
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