Brainstorming Ideas Into Designs

Community

bobmatnyc

Interactive idea refinement using Socratic method to develop fully-formed designs

Overview

Publisher	bobmatnyc
Repository	`claude-mpm`
Skill name	`Brainstorming Ideas Into Designs`
Stars	152
Forks	34
Bundled files	Instructions only
Links	Skill source Repository

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 bobmatnyc on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/bobmatnyc/claude-mpm/tree/main/src/claude_mpm/skills/bundled/collaboration/brainstorming

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/bobmatnyc/claude-mpm.git /tmp/claude-mpm
mkdir -p .claude/skills
cp -r /tmp/claude-mpm/src/claude_mpm/skills/bundled/collaboration/brainstorming .claude/skills/bobmatnyc-brainstorming-ideas-into-designs

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brainstorming Ideas Into Designs 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 Ideas Into Designs 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 Ideas Into Designs 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 Ideas Into Designs

Overview

Transform rough ideas into fully-formed designs through structured questioning and alternative exploration.

Core principle: Ask questions to understand, explore alternatives, present design incrementally for validation.

Announce at start: "I'm using the Brainstorming skill to refine your idea into a design."

The Process

Phase 1: Understanding

Check current project state in working directory
Ask ONE question at a time to refine the idea
Prefer multiple choice when possible
Gather: Purpose, constraints, success criteria

Phase 2: Exploration

Propose 2-3 different approaches
For each: Core architecture, trade-offs, complexity assessment
Ask your human partner which approach resonates

Phase 3: Design Presentation

Present in 200-300 word sections
Cover: Architecture, components, data flow, error handling, testing
Ask after each section: "Does this look right so far?"

Phase 4: Worktree Setup (for implementation)

When design is approved and implementation will follow:

Announce: "I'm using the Using Git Worktrees skill to set up an isolated workspace."
Switch to skills/collaboration/using-git-worktrees
Follow that skill's process for directory selection, safety verification, and setup
Return here when worktree ready

Phase 5: Planning Handoff

Ask: "Ready to create the implementation plan?"

When your human partner confirms (any affirmative response):

Announce: "I'm using the Writing Plans skill to create the implementation plan."
Switch to skills/collaboration/writing-plans skill
Create detailed plan in the worktree

When to Revisit Earlier Phases

You can and should go backward when:

Partner reveals new constraint during Phase 2 or 3 → Return to Phase 1 to understand it
Validation shows fundamental gap in requirements → Return to Phase 1
Partner questions approach during Phase 3 → Return to Phase 2 to explore alternatives
Something doesn't make sense → Go back and clarify

Don't force forward linearly when going backward would give better results.

Related Skills

During exploration:

When approaches have genuine trade-offs: skills/architecture/preserving-productive-tensions

Before proposing changes to existing code:

Understand why it exists: skills/research/tracing-knowledge-lineages

Remember

One question per message during Phase 1
Apply YAGNI ruthlessly
Explore 2-3 alternatives before settling
Present incrementally, validate as you go
Go backward when needed - flexibility > rigid progression
Announce skill usage at start

Frequently asked questions

What does the Brainstorming Ideas Into Designs AI skill do?

Interactive idea refinement using Socratic method to develop fully-formed designs

Why use Brainstorming Ideas Into Designs on TypingMind?

Because you install it once and use it with any model. Brainstorming Ideas Into Designs 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 Ideas Into Designs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bobmatnyc/claude-mpm/tree/main/src/claude_mpm/skills/bundled/collaboration/brainstorming. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Brainstorming Ideas Into Designs?

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 Ideas Into Designs?

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

Is the Brainstorming Ideas Into Designs AI skill free?

It is published on GitHub by bobmatnyc. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Brainstorming Ideas Into Designs

Overview

The Process

Phase 1: Understanding

Phase 2: Exploration

Phase 3: Design Presentation

Phase 4: Worktree Setup (for implementation)

Phase 5: Planning Handoff

When to Revisit Earlier Phases

Related Skills

Remember

Frequently asked questions

Related AI Skills

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