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Brainstorming

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andreaswasita
brainstorming

Refines rough ideas into approved designs before code.

Overview

Publisherandreaswasita
Repositorycopilot-agents-dojo
Skill namebrainstorming
Stars
54
Forks
15
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by andreaswasita on GitHub. Read the source before you install it.

Installation

Install the Brainstorming AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/andreaswasita/copilot-agents-dojo/tree/main/skills/brainstorming
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/andreaswasita/copilot-agents-dojo.git /tmp/copilot-agents-dojo
mkdir -p .claude/skills
cp -r /tmp/copilot-agents-dojo/skills/brainstorming .claude/skills/brainstorming
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brainstorming in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Brainstorming on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Brainstorming is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Brainstorming Skill

Turns a vague request into an approved design through focused Socratic questioning and tradeoff-honest alternatives. Does NOT permit any code to be written until the user has explicitly approved the design.

When to Use

  • User describes a new feature or project.
  • Requirements are unclear, conflicting, or ambiguous.
  • An architectural decision needs to be made.
  • Re-designing after a failed or rejected approach.
  • User says "I want to build…", "let's make…", or "new feature".
  • NOT when the user explicitly asks to skip design and prototype.

Prerequisites

  • The edit tool to save the approved design.
  • The ask_user tool to gather clarifications without spamming prose.
  • A target file for the design (typically tasks/todo.md or docs/design.md).
  • The user is actually available to respond — no design loops with a phantom user.

How to Run

text
1. Ask 3–5 Socratic questions to surface the real problem.
2. Present 2–3 alternative approaches with honest tradeoffs.
3. Recommend ONE with reasoning.
4. Walk the design in chunks: overview → architecture → data → API → edges.
5. Get explicit approval ("approved", "go", "ship it") before saving.
6. Save the approved design. Hand off to `executing-plans`.

Quick Reference

Question shapeWhy it matters
What problem are we solving?Forces the "why", not just the "what"
Who is this for?Persona, scale, constraints
What does success look like?Measurable outcome, not vibes
What are the constraints?Time, stack, existing systems, team
What have you already tried?Avoid re-inventing failed approaches
Design chunkLength
Overview1 paragraph
Architecture5–10 lines + diagram if useful
Data modelTable or list
API / interfaceEndpoint or function signatures
Edge casesBullet list

Procedure

Step 1: Socratic Questions (3–5 max)

Use the ask_user tool. Ask focused questions one at a time. Stop at five. More than five feels like interrogation.

Step 2: Present Alternatives

markdown
## Approaches

### Option A: <name>
- Pros: <…>
- Cons: <…>
- Effort: <rough estimate>

### Option B: <name>
- Pros: <…>
- Cons: <…>
- Effort: <rough estimate>

**Recommendation:** Option B — <specific reason>.

Be honest about tradeoffs. A fake "Option A" you do not believe in undermines trust.

Step 3: Walk the Design in Chunks

Present overview → architecture → data → API → edges. Pause for feedback after each chunk. Do not dump a 500-line document in one message.

Step 4: Get Explicit Approval

"Maybe" is not approval. "I'm not sure" is not approval. Ask what is bothering them and iterate. Only proceed when the user says "approved", "go ahead", "ship it", or equivalent.

Step 5: Save the Approved Design

Use edit to write to docs/design.md or tasks/todo.md:

markdown
## Approved Design: <feature>
Date: <YYYY-MM-DD>
Status: Approved

### Problem
<what we're solving>

### Solution
<what we're building>

### Architecture
<how it fits together>

### Acceptance Criteria
- [ ] <criterion 1>
- [ ] <criterion 2>

Hand off to the plan-before-code or executing-plans skill.

Pitfalls

  • DO NOT start writing code while the design is still under discussion.
  • DO NOT interrogate the user — five questions per round, maximum.
  • DO NOT present a single "approach" with no alternatives. That is a decree, not a design discussion.
  • DO NOT dump a 300-line design in one message. Chunk it.
  • DO NOT treat "maybe" as consent. Get the word "approved".

Verification

  • At least 3 Socratic questions were asked and answered.
  • At least 2 alternatives were presented with honest tradeoffs.
  • Design was walked in chunks with user feedback between them.
  • Explicit approval ("approved" / "go ahead") is captured.
  • Approved design is saved to docs/design.md or tasks/todo.md.

Frequently asked questions

What does the Brainstorming AI skill do?

Refines rough ideas into approved designs before code.

Why use Brainstorming on TypingMind?

Because you install it once and use it with any model. Brainstorming is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Brainstorming in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/andreaswasita/copilot-agents-dojo/tree/main/skills/brainstorming. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Brainstorming?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Brainstorming?

As many as you like. As long as a model supports skills, you can use Brainstorming with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Brainstorming AI skill free?

Yes. It is published on GitHub by andreaswasita under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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