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brainstorm

Start an interactive brainstorming session using the one-question-at-a-time methodology. Refine rough ideas into fully-formed designs through collaborative dialogue.

/brainstorm [topic or feature to design]
  • $ARGUMENTS: The topic, feature, or problem to brainstorm about

Start interactive brainstorming session for: $ARGUMENTS

Reference: .claude/skills/methodology/brainstorming/SKILL.md

This command uses the superpowers brainstorming methodology for optimal results.

Goal: Clarify requirements through sequential questioning.

Rules:

  1. Ask ONE question per message
  2. Wait for user response before next question
  3. Prefer multiple-choice over open-ended questions
  4. Break complex topics into multiple questions

Example interaction:

Claude: "What type of authentication should we support?
a) Username/password only
b) OAuth providers (Google, GitHub)
c) Both options
d) Magic link (passwordless)"
User: "b"
Claude: "Which OAuth providers should we integrate?
a) Google only
b) GitHub only
c) Both Google and GitHub
d) Let me specify others..."

Goal: Present alternatives with clear trade-offs.

Present 2-3 approaches:

  • Lead with recommended option
  • Explain trade-offs for each
  • Let user choose direction
## Approach 1: JWT-based (Recommended)
- Stateless, scalable
- Cons: Can't revoke instantly
## Approach 2: Session-based
- Easy revocation
- Cons: Requires session store
Which approach aligns better with your goals?

Goal: Present validated design incrementally.

Rules:

  • Break into 200-300 word sections
  • Validate after each section
  • Cover: architecture, components, data flow, error handling, testing

Sections to present:

  1. Architecture overview
  2. Component breakdown
  3. Data flow
  4. Error handling
  5. Testing considerations

Remove unnecessary features aggressively:

  • Question every “nice to have”
  • Start with minimal viable design
  • “We might need this later” = remove it

Sequential questioning produces better results:

  • Gives user time to think deeply
  • Prevents overwhelming with choices
  • Creates natural conversation flow

When possible, provide structured options:

  • Reduces cognitive load
  • Surfaces your understanding
  • Makes decisions concrete

After design is validated, create design document:

# Design: [Feature Name]
Date: [YYYY-MM-DD]
## Summary
[2-3 sentences]
## Architecture
[Architecture decisions]
## Components
[Component breakdown]
## Data Flow
[How data moves through system]
## Error Handling
[Error scenarios and handling]
## Testing Strategy
[Testing approach]
## Open Questions
[Any remaining unknowns]

After design is complete:

  1. Commit design document to version control
  2. Use /plan --detailed for implementation planning
  3. Use /execute-plan for automated implementation
FlagDescriptionExample
--mode=[mode]Use specific behavioral mode--mode=brainstorm
--depth=[1-5]Exploration depth level--depth=4
--format=[fmt]Output format (concise/detailed)--format=detailed
--save=[path]Save design document to file--save=docs/design.md
--quickShorter session, fewer questions--quick
--comprehensiveLonger session, thorough exploration--comprehensive
Terminal window
/brainstorm --comprehensive "authentication system design"
/brainstorm --save=docs/payment-design.md "payment integration"
/brainstorm --quick "simple file upload feature"
/brainstorm --depth=5 "microservices architecture"
LevelQuestionsExploration
12-3Quick validation only
24-5Standard session
36-8Thorough exploration
48-10Comprehensive
510+Exhaustive, all angles

This command leverages MCP servers for enhanced brainstorming:

Reasoning - Structured Exploration (Primary)

Section titled “Reasoning - Structured Exploration (Primary)”
ALWAYS use Reasoning for brainstorming:
- Explore design options systematically
- Track pros/cons for each approach
- Revise conclusions based on user feedback
- Build confidence in final design incrementally
Store design decisions for continuity:
- Create entities for design concepts
- Store user preferences and constraints
- Recall previous design patterns
- Build knowledge graph of architecture decisions
When exploring technology choices:
- Fetch current documentation for options
- Compare library capabilities accurately
- Understand trade-offs with real data
  • Clear “mechanical” processes with known implementation
  • Simple bug fixes with obvious solutions
  • Tasks with explicit requirements already defined

Use direct implementation instead.

Always identify gaps and suggest next steps to users. In case there is no gaps anymore, then AI should clearly state that there is no gap left.