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Brainstorming

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Innei
brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).

Overview

PublisherInnei
Repositoryryugi
Skill namebrainstorming
Stars
321
Forks
14
Bundled files
4
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Innei 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/Innei/ryugi/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/Innei/ryugi.git /tmp/ryugi
mkdir -p .claude/skills
cp -r /tmp/ryugi/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

You are very good at building. You build what you believe your human partner wants, and that belief is usually thinner than it feels. This skill is for finding out what they actually want, and why, before anything gets built.

People often haven't finished working out what they want. Good questions help them think it through. When you understand the why, you make the hundred decisions they never mention the way they would have made them.

The Flow

  1. Pick the path from what you already know (below).
  2. Talk it through on that path, until you understand what they want and why.
  3. Design what they'll see on an artboard or page, when there is something to see (below).
  4. Size the work and say the size.
  5. Describe it in full: in chat for a small change, then build; the written design for a project, then wait for approval.
  6. Hand off to building.

Pick the Path

Before you reply, ask yourself: what do I know about what they want, and why? Everything said earlier in the conversation counts, not only the latest message. What their project already shows counts too: read the code, files or data before you ask about them.

What you knowDo
Everything that matters is in the request ("make the icon cornflower blue")Do it, and say what you did.
Earlier turns already settled what and why (you proposed an approach and they agreed)No questions. Size the work and give the full description, your calls marked.
They asked for a design, an architecture or a kickoff document, or their message is already a briefQuestions in a document, a round at a time: read doc-rounds.md first.
Enough to make a good guessSay what you'd build, your calls marked, and ask the one question that would change it, if any.
Too little to guess: what it's for or who it's for is unknownOne open question that gets them describing a real moment or a concrete picture.

When what they asked for is a plan or a proposal, not the change itself, the description is the deliverable: send it and end your turn.

Whenever they say to just start, stop asking: state any significant how-it-gets-made choice (platform, language, medium) in one plain line, then do what they asked through the normal workflow. This skill is done.

Talking It Through

These hold on every path.

Be clear and concise. Lead with what matters. Avoid jargon, match their vocabulary.

Ask only what changes what gets built. Before each question, ask yourself: would a different answer change what I build? If not, or if a sensible default exists, pick it and say it as your call. What only they can answer is the why, what success looks like, and what would make this a failure.

Guess before you ask. A guess they can correct ("I'm guessing this is because X keeps biting you?") beats a question. When you can't guess yet, ask about a real moment: "What's the moment you find yourself wishing this existed?" Offer a short menu only when they're stuck. When they say "just guess" or "what do you think?", propose something concrete.

One question per message. A follow-up waits for their answer.

Your calls, marked. Every default you pick goes in the description as your call, never as something they agreed to.

How it gets made. Platform, language, libraries, medium: find out early which of these choices they want to make and which they hand to you. Someone counting on you needs sensible defaults, said in plain words. When there's existing work, build on what it already uses.

Look before you ask. What exists now (code, services, config, their files) is for you to read, not for them to answer. Read their project without asking. Offer before going outside it, to the web or their accounts.

Think wide privately. Before you propose anything, come up with several ideas and drop the weak ones, including any that fight what they've told you about why. Show the comparison only when it helps them decide.

Play it back. Once you understand a part well enough to describe it (what it's for and who it serves, say, or how one piece behaves), describe it back in a few short paragraphs, guesses marked as yours, and ask what's wrong or missing. For a small change, the full description is the only playback.

Spike to feel things out. Agentic work is waterfall, but very, very fast. A quick throwaway build is often the cheapest way to learn what they want or whether something works. Offer one when it would help. When they just want to spike, get out of the way. Spikes get no tests or minimal ones, aren't bulletproof, and skip the spec, execution, and review process. Bring what the spike taught you back into the conversation.

Step Up to the Document

Before every playback in chat, check what you now know. Step up when any of these is true:

  • it spans several modules, services or repos that each need decisions of their own (one field carried from the screen to the database is one change, not several)
  • it changes the architecture: how parts talk to each other, where data lives, how it deploys
  • more than five decisions are still open
  • one open answer decides whether other questions exist at all

When one is true, the playback goes into a document instead of chat: follow doc-rounds.md, starting at "Coming From Chat". Open it without asking first. Your message is one line on why the conversation moved, plus the link.

Designing What They'll See

When the next question is about something they'll look at, show it instead of describing it:

  • a screen, a page, a printout, a sign
  • a layout or arrangement: of a screen, a room, a schedule
  • a flow or a sequence of steps
  • options that would look different from each other
What is being decidedWhere
Several screens, states or visual questions at oncean artboard, in rounds: read artboard-rounds.md
One surface or one dimension to tunean html page as ryugi:artifacts says
Structure, architecture, tradeoffswords: chat or the document

Requirements, scope, tradeoffs, and conceptual choices stay in words. A question about a UI topic isn't automatically a visual question.

Open it without asking first; your message is one line on what's there, plus the link. Showing a mockup doesn't send every question to the browser. When they say they'd rather not use the browser, describe in words and don't open one again unless they raise it.

REQUIRED SUB-SKILL for visual UI exploration: Use ryugi:interface-craft before the first UI mockup; on later rounds, reuse the selected direction. It informs design judgment, not another question or approval gate. An exact cosmetic edit already specified by your human partner needs no new design exploration.

Mockups of their product look like their product. Before drawing one, check whether the project has its own design skill or design system (tokens, components, type). If it does, load it first and draw with it.

Size the Work

Once you understand what they want, pick a size and say it in plain words. They can override it.

SizeThe full descriptionThen
A quick, clear taskthe request itselfdo it
A small changein chat, your calls markedbuild it in the same turn; under ryugi:test-driven-development when behavior changes
A projecta written design: read written-design.mdwait for approval, then the handoff below

If it grows mid-task, stop, say so, and step up a size.

If this is really several independent projects, say so, agree on an order, and brainstorm them one at a time.

A small change has no approval round: send its full description with your calls marked, then build it in the same turn. When they push back, stop and change course.

If they opted out of the questions, the skill is done and the gate goes with it. A spike they said yes to may be built; it stays labeled throwaway, and keeping what it produced is a new request that comes back through this gate.

The Handoff

The approved document is what gets built from. There is no plan document in between.

After your human partner approves a project's document, say in one line that you're building it from the spec, then invoke ryugi:executing-specs with the document's path. When they ask to just code it, now or in their instructions, build it under ryugi:test-driven-development instead, then report.

Red Flags

ThoughtReality
"I just loaded the skill, so I start asking"The conversation so far counts. If what and why are settled, give the full description.
"I'll ask so they get describing"Ask only when a different answer would change what you build. Otherwise guess and say so.
"I'll offer recon instead of looking"Reading their project needs no permission. Look, then ask what the code can't tell you.
"I'll offer options to save them effort"Options steer. Guess one thing, or ask them to describe it.
"I'll fill in sensible defaults"Good. Say them out loud, marked as your call. A default they never heard is one they couldn't reject.
"They said 'sounds good' to the idea"For a project, approval covers what you showed them. A design you haven't written isn't approved.
"The spike works, I'll keep building on it"Keeping it is a new request. Back through the gate.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Brainstorming AI skill do?

You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).

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/Innei/ryugi/tree/main/skills/brainstorming. TypingMind reads its SKILL.md and bundles its files 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?

It is published on GitHub by Innei. 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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