brainstorm-techniques
npx machina-cli add skill jikig-ai/soleur/brainstorm-techniques --openclawBrainstorming
This skill provides detailed process knowledge for effective brainstorming sessions that clarify WHAT to build before diving into HOW to build it.
When to Use This Skill
Brainstorming is valuable when:
- Requirements are unclear or ambiguous
- Multiple approaches could solve the problem
- Trade-offs need to be explored with the user
- The user hasn't fully articulated what they want
- The feature scope needs refinement
- A complex problem needs deep analysis before any solution is proposed (use Problem Analysis Mode below)
Brainstorming can be skipped when:
- Requirements are explicit and detailed
- The user knows exactly what they want
- The task is a straightforward bug fix or well-defined change
Core Process
Phase 0: Assess Requirement Clarity
Before diving into questions, assess whether brainstorming is needed.
Signals that requirements are clear:
- User provided specific acceptance criteria
- User referenced existing patterns to follow
- User described exact behavior expected
- Scope is constrained and well-defined
Signals that brainstorming is needed:
- User used vague terms ("make it better", "add something like")
- Multiple reasonable interpretations exist
- Trade-offs haven't been discussed
- User seems unsure about the approach
If requirements are clear, suggest: "Your requirements seem clear. Consider proceeding directly to planning or implementation."
Phase 1: Understand the Idea
Ask questions one at a time to understand the user's intent. Avoid overwhelming with multiple questions.
Question Techniques:
-
Prefer multiple choice when natural options exist
- Good: "Should the notification be: (a) email only, (b) in-app only, or (c) both?"
- Avoid: "How should users be notified?"
-
Start broad, then narrow
- First: What is the core purpose?
- Then: Who are the users?
- Finally: What constraints exist?
-
Validate assumptions explicitly
- "I'm assuming users will be logged in. Is that correct?"
-
Ask about success criteria early
- "How will you know this feature is working well?"
-
Be curious, not prescriptive Follow the user's energy -- if they light up about an aspect, explore it deeper. If they seem decided, don't interrogate. The goal is collaborative exploration, not an interview.
Old (prescriptive):
"For authentication, you should use JWT tokens with refresh tokens stored in httpOnly cookies."
New (curious):
"What security constraints are you working with? Have you weighed session-based vs token-based auth for your use case?"
-
Challenge assumptions honestly If the user's idea has a flaw or an unexplored risk, say so directly. Don't fold your argument just because the user pushes back -- explain your reasoning and let them decide. A brainstorm that only validates is a wasted brainstorm.
Key Topics to Explore:
| Topic | Example Questions |
|---|---|
| Purpose | What problem does this solve? What's the motivation? |
| Users | Who uses this? What's their context? |
| Constraints | Any technical limitations? Timeline? Dependencies? |
| Success | How will you measure success? What's the happy path? |
| Edge Cases | What shouldn't happen? Any error states to consider? |
| Existing Patterns | Are there similar features in the codebase to follow? |
Exit Condition: Continue until the idea is clear OR user says "proceed" or "let's move on"
Phase 2: Explore Approaches
After understanding the idea, propose 2-3 concrete approaches.
Structure for Each Approach:
### Approach A: [Name]
[2-3 sentence description]
**Pros:**
- [Benefit 1]
- [Benefit 2]
**Cons:**
- [Drawback 1]
- [Drawback 2]
**Best when:** [Circumstances where this approach shines]
Guidelines:
- Lead with a recommendation and explain why
- Be honest about trade-offs
- Consider YAGNI—simpler is usually better
- Reference codebase patterns when relevant
Phase 3: Capture the Design
Summarize key decisions in a structured format.
Design Doc Structure:
---
date: YYYY-MM-DD
topic: <kebab-case-topic>
---
# <Topic Title>
## What We're Building
[Concise description—1-2 paragraphs max]
## Why This Approach
[Brief explanation of approaches considered and why this one was chosen]
## Key Decisions
- [Decision 1]: [Rationale]
- [Decision 2]: [Rationale]
## Open Questions
- [Any unresolved questions for the planning phase]
## Next Steps
→ Use `skill: soleur:plan` for implementation details
Output Location: knowledge-base/brainstorms/YYYY-MM-DD-<topic>-brainstorm.md
Phase 4: Handoff
Present clear options for what to do next:
- Proceed to planning → Use
skill: soleur:plan - Refine further → Continue exploring the design
- Done for now → User will return later
YAGNI Principles
During brainstorming, actively resist complexity:
- Don't design for hypothetical future requirements
- Choose the simplest approach that solves the stated problem
- Prefer boring, proven patterns over clever solutions
- Ask "Do we really need this?" when complexity emerges
- Defer decisions that don't need to be made now
Incremental Validation
Keep sections short—200-300 words maximum. After each section of output, pause to validate understanding:
- "Does this match what you had in mind?"
- "Any adjustments before we continue?"
- "Is this the direction you want to go?"
This prevents wasted effort on misaligned designs.
Problem Analysis Mode
When the request is "analyze this problem" rather than "brainstorm approaches," skip Phase 2 (Explore Approaches) and focus entirely on Phase 1 with deeper problem decomposition: stakeholders, pain points, constraints, risks, and success criteria. Output a problem-analysis.md instead of a brainstorm doc. Do not suggest implementation solutions -- focus on WHAT and WHY, not HOW.
Anti-Patterns to Avoid
| Anti-Pattern | Better Approach |
|---|---|
| Asking 5 questions at once | Ask one at a time |
| Jumping to implementation details | Stay focused on WHAT, not HOW |
| Proposing overly complex solutions | Start simple, add complexity only if needed |
| Ignoring existing codebase patterns | Research what exists first |
| Making assumptions without validating | State assumptions explicitly and confirm |
| Creating lengthy design documents | Keep it concise—details go in the plan |
| Forcing scripted questions when user leads elsewhere | Follow the user's thread, return to structure later |
Integration with Planning
Brainstorming answers WHAT to build:
- Requirements and acceptance criteria
- Chosen approach and rationale
- Key decisions and trade-offs
Planning answers HOW to build it:
- Implementation steps and file changes
- Technical details and code patterns
- Testing strategy and verification
When brainstorm output exists, the plan skill should detect it and use it as input, skipping its own idea refinement phase.
Source
git clone https://github.com/jikig-ai/soleur/blob/main/plugins/soleur/skills/brainstorm-techniques/SKILL.mdView on GitHub Overview
Brainstorming helps clarify WHAT to build before diving into HOW to build it. It targets unclear requirements, multiple viable approaches, and misaligned expectations, ensuring a solid foundation before planning. The skill follows a phased process to uncover intent, evaluate options, and align success criteria.
How This Skill Works
The skill runs through Phase 0 (Assess Requirement Clarity), Phase 1 (Understand the Idea) with targeted questions, and Phase 2 (Explore Approaches) to surface trade-offs. It uses proven question techniques and collaborative prompts to keep discovery focused and outcome-driven.
When to Use It
- Requirements are unclear or ambiguous
- Multiple approaches could solve the problem
- Trade-offs need to be explored with the user
- The user hasn't fully articulated what they want
- The feature scope needs refinement
Quick Start
- Step 1: Assess requirement clarity
- Step 2: Understand the idea with one-question-at-a-time prompts
- Step 3: Explore approaches and decide next steps or proceed
Best Practices
- Assess requirement clarity before diving in
- Ask one question at a time to avoid overload
- Prefer multiple-choice options when natural
- Explicitly validate assumptions and success criteria
- Surface edge cases and existing patterns early
Example Use Cases
- Clarifying a vague feature like 'add analytics' before writing a spec
- Choosing the best notification channel when requirements are loose
- Refining product scope for a new onboarding flow
- Comparing data visualization options for a dashboard
- Resolving conflicting feature requests from stakeholders