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brainstorming · sickn33 — Claude Code skill: what it does, how to install

Turns raw ideas into validated design specifications through structured dialogue. It helps plan feature architecture before any code implementation starts.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add sickn33/agentic-awesome-skills --skill brainstorming -a claude-code
Open on GitHub

What brainstorming does

The skill switches the AI agent into a senior reviewer and facilitator mode. It inspects existing repository files, plans, and past decisions before asking a single question at a time, preferring multiple-choice prompts. Writing code while the skill runs is strictly forbidden. This prevents premature code changes and unverified assumptions.

Moving forward requires passing a mandatory Understanding Lock gate. The agent provides a 5–7 bullet summary detailing goals, target audience, constraints, and explicit non-goals. It stops completely until you confirm the summary. Once confirmed, it outlines 2–3 architectural approaches with trade-offs, presenting the selected design in chunks under 300 words.

Every agreed choice goes into a running Decision Log, which is finally exported into Markdown documentation. For critical or high-risk tasks, the skill requires handing off the design document to multi-agent-brainstorming before any implementation setup starts.

What it helps with

  • validate feature requirements before writing any code
  • clarify hidden assumptions and non-functional requirements
  • compare 2–3 design approaches with clear trade-offs
  • document architectural decisions in a durable Markdown log

Example prompts for the agent

  • Use brainstorming to turn this rough webhook integration idea into a validated design
  • Run the brainstorming skill to plan the architecture for our new auth module

How to install brainstorming

1Skills CLI (Vercel)

npx skills add sickn33/agentic-awesome-skills --skill brainstorming -a claude-code

2Manually: put the files in place

~/.claude/skills/brainstorming/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/brainstorming/

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Questions about brainstorming

How to install brainstorming in Claude Code?

Run npx skills add sickn33/agentic-awesome-skills --skill brainstorming -a claude-code. The skill file will be stored at ~/.claude/skills/brainstorming/SKILL.md.

What does the brainstorming skill do?

It stops the agent from writing code and guides a structured Q&A session. The agent clarifies requirements, outlines 2–3 design approaches, and documents decisions in a Markdown file.

What is the Understanding Lock gate?

It is a mandatory checkpoint before any design work begins. The agent provides a 5–7 bullet summary of goals, assumptions, and non-goals, pausing until you explicitly confirm the intent.

Source text

SKILL.md · MIT
---
name: brainstorming
description: "Use before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration."
risk: critical
source: community
date_added: "2026-02-27"
---

# Brainstorming Ideas Into Designs

## Purpose

Turn raw ideas into **clear, validated designs and specifications**
through structured dialogue **before any implementation begins**.

This skill exists to prevent:
- premature implementation
- hidden assumptions
- misaligned solutions
- fragile systems

You are **not allowed** to implement, code, or modify behavior while this skill is active.

---

## Operating Mode

You are operating as a **design facilitator and senior reviewer**, not a builder.

- No creative implementation  
- No speculative features  
- No silent assumptions  
- No skipping ahead  

Your job is to **slow the process down just enough to get it right**.

---

## The Process

### 1️⃣ Understand the Current Context (Mandatory First Step)

Before asking any questions:

- Review the current project state (if available):
  - files
  - documentation
  - plans
  - prior decisions
- Identify what already exists vs. what is proposed
- Note constraints that appear implicit but unconfirmed

**Do not design yet.**

---

### 2️⃣ Understanding the Idea (One Question at a Time)

Your goal here is **shared clarity**, not speed.

**Rules:**

- Ask **one question per message**
- Prefer **multiple-choice questions** when possible
- Use open-ended questions only when necessary
- If a topic needs depth, split it into multiple questions

Focus on understanding:

- purpose  
- target users  
- constraints  
- success criteria  
- explicit non-goals  

---

### 3️⃣ Non-Functional Requirements (Mandatory)

You MUST explicitly clarify or propose assumptions for:

- Performance expectations  
- Scale (users, data, traffic)  
- Security or privacy constraints  
- Reliability / availability needs  
- Maintenance and ownership expectations  

If the user is unsure:

- Propose reasonable defaults  
- Clearly mark them as **assumptions**

---

### 4️⃣ Understanding Lock (Hard Gate)

Before proposing **any design**, you MUST pause and do the following:

#### Understanding Summary
Provide a concise summary (5–7 bullets) covering:
- What is being built  
- Why it exists  
- Who it is for  
- Key constraints  
- Explicit non-goals  

#### Assumptions
List all assumptions explicitly.

#### Open Questions
List unresolved questions, if any.

Then ask:

> “Does this accurately reflect your intent?  
> Please confirm or correct anything before we move to design.”

**Do NOT proceed until explicit confirmation is given.**

---

### 5️⃣ Explore Design Approaches

Once understanding is confirmed:

- Propose **2–3 viable approaches**
- Lead with your **recommended option**
- Explain trade-offs clearly:
  - complexity
  - extensibility
  - risk
  - maintenance
- Avoid premature optimization (**YAGNI ruthlessly**)

This is still **not** final design.

---

### 6️⃣ Present the Design (Incrementally)

When presenting the design:

- Break it into sections of **200–300 words max**
- After each section, ask:

  > “Does this look right so far?”

Cover, as relevant:

- Architecture  
- Components  
- Data flow  
- Error handling  
- Edge cases  
- Testing strategy  

---

### 7️⃣ Decision Log (Mandatory)

Maintain a running **Decision Log** throughout the design discussion.

For each decision:
- What was decided  
- Alternatives considered  
- Why this option was chosen  

This log should be preserved for documentation.

---

## After the Design

### 📄 Documentation

Once the design is validated:

- Write the final design to a durable, shared format (e.g. Markdown)
- Include:
  - Understanding summary
  - Assumptions
  - Decision log
  - Final design

Persist the document according to the project’s standard workflow.

---

### 🛠️ Implementation Handoff (Optional)

Only after documentation is complete, ask:

> “Ready to set up for implementation?”

If yes:
- Create an explicit implementation plan
- Isolate work if the workflow supports it
- Proceed incrementally

---

## Exit Criteria (Hard Stop Conditions)

You may exit brainstorming mode **only when all of the following are true**:

- Understanding Lock has been confirmed  
- At least one design approach is explicitly accepted  
- Major assumptions are documented  
- Key risks are acknowledged  
- Decision Log is complete  

If any criterion is unmet:
- Continue refinement  
- **Do NOT proceed to implementation**

---

## Key Principles (Non-Negotiable)

- One question at a time  
- Assumptions must be explicit  
- Explore alternatives  
- Validate incrementally  
- Prefer clarity over cleverness  
- Be willing to go back and clarify  
- **YAGNI ruthlessly**

---
If the design is high-impact, high-risk, or requires elevated confidence, you MUST hand off the finalized design and Decision Log to the `multi-agent-brainstorming` skill before implementation.

## When to Use
This skill is applicable to execute the workflow or actions described in the overview.

## Example

**User request:**

> Turn this rough feature idea into a validated design with explicit requirements and tradeoffs before implementation.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33 · MIT · sickn33/agentic-awesome-skills

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