Brainstorming 2 OpenClaw Plugin & Skill | ClawHub
Looking to integrate Brainstorming 2 into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate coding agents & ides tasks instantly, without having to write custom tools from scratch.
What this skill does
Socratic design refinement before coding. Use when user requests feature without clear spec.
Install
openclaw skills install @nefas11/brainstorming-2npx clawhub@latest install brainstorming-2Full SKILL.md
Open original| name | description |
|---|---|
| brainstorming | Socratic design refinement before coding. Use when user requests feature without clear spec. |
SKILL.md content below is scrollable.
Brainstorming Skill
When to Use
Trigger BEFORE writing code when:
- User request is vague ("make it better", "add feature X")
- Complex feature with multiple approaches
- Design decisions impact multiple components
Workflow
Step 1: Understand Intent
Ask clarifying questions:
- What problem are we solving?
- Who is the user?
- What's the success criteria?
- What constraints exist? (time, compatibility, dependencies)
Step 2: Explore Alternatives
Present 2-3 approaches:
- Approach A (simple): [description]
- Approach B (robust): [description]
- Approach C (future-proof): [description]
For each: Pros, Cons, Complexity (1-5)
Step 3: Design Document
After user picks approach, create design doc:
# Feature: [Name]
## Problem
[1-2 sentences]
## Solution
[Chosen approach, 3-5 sentences]
## Components Affected
- [Component 1]: [Change description]
- [Component 2]: [Change description]
## Testing Strategy
- Unit tests: [What to test]
- Integration tests: [What to test]
## Edge Cases
- [Case 1]
- [Case 2]
## Success Criteria
- [ ] [Criterion 1]
- [ ] [Criterion 2]
Save to: docs/design/YYYY-MM-DD-feature-name.md
Step 4: Transition to Planning
Pass design doc to writing-plans skill.
Anti-Patterns
❌ Jump straight to implementation ❌ Present only one approach ❌ Skip edge case discussion ❌ Forget to save design doc
Example
User: "Add caching"
Bad:
I'll add Redis caching to the API.
Good:
Let me understand the requirements first:
1. What should be cached? (API responses, DB queries, computed results?)
2. What's the invalidation strategy? (TTL, event-based, manual?)
3. What's the acceptable staleness? (seconds, minutes, hours?)
Based on your answers, I'll present 3 approaches with trade-offs.