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Brainstorm Socratic

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llopresto87
brainstorm-socratic

The Socratic questioning technique that converges a vague goal — question selection, one-to-three-per-turn pacing, the reflect-every-two-answers cadence, the nine-question hard cap, and the eight-point convergence checklist that defines "converged". This is the user-facing of the brainstorm protocol's two modes — use it when the decision is the owner's to make; when it is the session's own, the mode is skill.brainstorm-internal and there is nobody to question. The protocol owns entry/exit conditions, mode selection and where output lands; this skill owns how to converge with a person.

Overview

Publisherllopresto87
RepositoryCypress
Skill namebrainstorm-socratic
Stars
113
Forks
6
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 llopresto87 on GitHub. Read the source before you install it.

Installation

Install the Brainstorm Socratic 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/llopresto87/Cypress/tree/main/skills/brainstorm-socratic
  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/llopresto87/Cypress.git /tmp/Cypress
mkdir -p .claude/skills
cp -r /tmp/Cypress/skills/brainstorm-socratic .claude/skills/brainstorm-socratic
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brainstorm Socratic 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 Brainstorm Socratic 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 Brainstorm Socratic 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.

brainstorm-socratic

This is the mode with a person in it. It applies when the answer is the owner's to give: what to build, for whom, what counts as done, which tradeoff they have to live with. When the decision is the session's own, use docs/graph/skills/brainstorm-internal.md; brainstorm.mode-selection in docs/graph/protocols/brainstorm.md owns the test.

A goal that arrives as "build me a thing" is not yet ready to specify or plan. This skill ONLY converges the goal from vague to precise: the UI emerges later from the user flow, and framework and architecture wait for architect, after research. It is applied inside docs/graph/protocols/brainstorm.md, which owns entry conditions, the grill.md output map, and the explicit-confirmation exit; this file owns the method.

How to brainstorm

Ask the smallest set of questions that change the design the most

Bad: "What colour?", "What should the homepage look like?", "What framework?"

Good: "Who is this for and what do they do today instead?", "What counts as success one month in?", "What is explicitly out of scope?"

Limit: one to three questions per turn, and the main flow before its edge cases, because each set of answers reshapes the next question and twenty questions at once get answered with platitudes.

Reflect every two answers

After every two answers, write a one-paragraph reflection: "I now believe X. Tell me where I'm wrong."

This forces the brainstorm to converge and lets the user disagree precisely.

Hard cap at nine questions total

If you haven't converged in nine questions, accept the gaps. Mark each one as an assumption in grill.md §12, write what you have, and proceed to specify.

A brainstorm that drags past nine questions is usually trying to specify and plan at the same time. Stop; move to specify. Brainstorm is a step: it converges enough to start specifying, and the spec refines further.

The convergence checklist

By the end of brainstorm, you can write the following without hand-waving:

  1. Problem statement. One sentence. "X user does Y today; we want them to be able to Z instead."
  2. Primary user. A specific role and context, not "developers" or "users".
  3. First useful slice. The smallest end-to-end thing that delivers the outcome for one well-defined case.
  4. Success criteria. Measurable, with a time horizon. Quantitative where possible; qualitative with explicit rubrics where not.
  5. Non-goals. Three to five things this is explicitly not; they are what holds scope.
  6. Operating constraints. Runtime, security, privacy, data, cost, latency, compliance, maintenance: at least the ones that bind.
  7. Shaped options. Two to four named technical approaches with one-line summaries, not full designs. Each option names the tradeoff it makes.
  8. Risks and assumptions. The top three risks; every assumption that, if false, changes the plan.

What the owner actually reads

Converging is half the job. The other half is that the person can tell what they are agreeing to.

Everything this mode puts in front of the owner (the reflections, the options, the problem statement they are asked to confirm) goes through docs/graph/skills/humanizer.md as it is drafted, carrying every fact intact.

An options table is a working artifact. A person confirming "yes, that one" off a table has agreed to a row, not to a decision, and the difference surfaces later as "that isn't what I thought I picked". State what is being decided, why it is on the table now, what each option commits them to, and what it would cost to change later. The confirmation this mode waits for is only worth waiting for if it was informed.

Reference files

  • docs/graph/protocols/brainstorm.md: the workflow: entry, output map, exit.
  • docs/graph/protocols/specify.md: the protocol that consumes brainstorm output.
  • docs/graph/templates/grill.template.md: where brainstorm output is recorded.

Frequently asked questions

What does the Brainstorm Socratic AI skill do?

The Socratic questioning technique that converges a vague goal — question selection, one-to-three-per-turn pacing, the reflect-every-two-answers cadence, the nine-question hard cap, and the eight-point convergence checklist that defines "converged". This is the user-facing of the brainstorm protocol's two modes — use it when the decision is the owner's to make; when it is the session's own, the mode is skill.brainstorm-internal and there is nobody to question. The protocol owns entry/exit conditions, mode selection and where output lands; this skill owns how to converge with a person.

Why use Brainstorm Socratic on TypingMind?

Because you install it once and use it with any model. Brainstorm Socratic 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 Brainstorm Socratic in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/llopresto87/Cypress/tree/main/skills/brainstorm-socratic. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Brainstorm Socratic?

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 Brainstorm Socratic?

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

Is the Brainstorm Socratic AI skill free?

Yes. It is published on GitHub by llopresto87 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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