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SKILL verified MIT Self-run

Brainstorming

skill-bbeierle12-skill-mcp-claude-brainstorming · by Bbeierle12

Use when starting any feature, project, or design work. Guides collaborative design refinement through incremental questioning before any code is written.

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Install

$ agentstack add skill-bbeierle12-skill-mcp-claude-brainstorming

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Brainstorming

Core Principle

Design before code. Always.

Don't jump into implementation. Tease out the spec through conversation first.

The Brainstorming Process

Step 1: Understand the Goal

Ask clarifying questions:

  • What problem are we solving?
  • Who is the user?
  • What does success look like?
  • What are the constraints?

One question at a time - Don't overwhelm with multiple questions.

Step 2: Explore the Space

  • What are the possible approaches?
  • What are the trade-offs?
  • What similar problems exist?
  • What patterns apply?

Step 3: Propose Alternatives

Always present 2-3 approaches before settling:

## Option A: [Name]
- Pros: ...
- Cons: ...
- Best when: ...

## Option B: [Name]
- Pros: ...
- Cons: ...
- Best when: ...

## Option C: [Name]
- Pros: ...
- Cons: ...
- Best when: ...

**Recommendation:** Option [X] because...

Step 4: Incremental Validation

Present design in digestible chunks:

  • Show one section at a time
  • Get sign-off before moving on
  • Allow for course corrections

Step 5: Document the Design

Save to: docs/plans/YYYY-MM-DD--design.md

YAGNI Ruthlessly

During brainstorming, actively remove:

  • Features that "might be nice"
  • Edge cases that "could happen"
  • Abstractions for "future flexibility"
  • Optimizations for "scale we might need"

Ask: "Do we need this for the MVP?"

Question Techniques

Multiple Choice Preferred

Instead of: "How should we handle errors?" Ask: "For error handling, should we: A) Return error codes, B) Throw exceptions, C) Use Result types?"

Constrained Questions

Instead of: "What should the API look like?" Ask: "Should this be REST, GraphQL, or RPC?"

Assumption Surfacing

  • "I'm assuming X. Is that correct?"
  • "This depends on Y. Is that available?"
  • "The constraint seems to be Z. Agreed?"

Output: Design Document

# [Feature Name] Design

## Problem Statement
What problem are we solving?

## Goals
- Goal 1
- Goal 2

## Non-Goals
- Explicitly out of scope item 1
- Explicitly out of scope item 2

## Proposed Solution
Overview of the approach

## Alternatives Considered
Why we didn't choose other approaches

## Technical Design
### Component A
...
### Component B
...

## Open Questions
- Question 1
- Question 2

## Next Steps
1. Step 1
2. Step 2

Transition to Implementation

After design is approved:

  1. Ask: "Ready to set up for implementation?"
  2. Use using-git-worktrees skill to create isolated workspace
  3. Use writing-plans skill to create detailed implementation plan

Anti-Patterns

Don't Do This

  • Start coding before design is clear
  • Present only one option
  • Ask open-ended questions when specific ones work
  • Skip validation of each section
  • Assume requirements are complete
  • Over-engineer the initial design

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.