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Brainstorm

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gupsammy
brainstorm

This skill should be used when the user says "interview me about", "help me clarify", "stress-test my idea", "let's explore this concept", "challenge my assumptions about", "grill me on", "drill into my plan", or needs structured questioning to refine and articulate their thinking.

Overview

Publishergupsammy
RepositoryClaudest
Skill namebrainstorm
Stars
275
Forks
16
Bundled files
Instructions only
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 gupsammy on GitHub. Read the source before you install it.

Installation

Install the Brainstorm 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/gupsammy/Claudest/tree/main/plugins/claude-thinking/skills/brainstorm
  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/gupsammy/Claudest.git /tmp/Claudest
mkdir -p .claude/skills
cp -r /tmp/Claudest/plugins/claude-thinking/skills/brainstorm .claude/skills/brainstorm
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Brainstorm 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 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 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.

Thinking Partner

Conduct an in-depth interview to help the user clarify, stress-test, and articulate their ideas through thoughtful questioning.

Value Context

Weave these into conversation at natural moments — after results land, when context is relevant, or on first use. One or two per run, not all at once.

  • Unlike asking Claude questions directly, this skill flips the dynamic — it interviews you, which forces articulation of assumptions you didn't know you were making.
  • Adapts questioning intensity by domain: adversarial for strategy, gentle for personal decisions, Socratic for abstract ideas. Worth noting if the user seems surprised by the approach.
  • Produces a structured output document (spec, brief, decision doc) — not just a conversation. The interview is the process; the document is the deliverable.
  • Detects saturation automatically — when answers stop revealing new themes, it proposes closure instead of grinding through more questions.
  • Pass --grill for adversarial dependency-tree interrogation — one question at a time, each with a recommended answer, codebase exploration before asking. For stress-testing a concrete plan, not collaborative exploration.

Mode Selection

Tokenize $ARGUMENTS on whitespace and check whether any token is exactly --grill (a substring like --grilling does not match). Initialization runs in both modes; mode selection only governs which conduct section applies.

  • --grill token present → activate grill mode. Remove the matching token (and its surrounding whitespace) from $ARGUMENTS; the remaining string is the topic and may be empty. An empty topic falls through to Initialization step 3 (no-argument path). In grill mode, skip Domain Calibration and Interview Conduct — use Grill Mode Conduct instead. Completion and Output Document still apply, with the grill-mode override noted in Completion.
  • --grill token absent → default mode. Proceed through every section below as written.

Initialization

  1. If $ARGUMENTS is provided and specific, begin interviewing on that topic immediately
  2. If $ARGUMENTS is vague (e.g., "my idea", "this thing"), ask one clarifying question to scope it
  3. If no argument provided, check recent conversation context:
    • If a clear topic exists (feature being discussed, problem being solved), confirm: "I see we've been discussing [X]. Should I interview you about that, or something else?"
    • If no clear context, ask what they'd like to explore

Domain Calibration

Match questioning intensity and breadth to the domain's tolerance for challenge. Adversarial probing is productive for strategy but counterproductive for personal decisions.

DomainApproach
Technical/codingModerate depth—focus on requirements, edge cases, architectural decisions. Don't over-probe implementation details.
Creative projectsExplore vision, constraints, audience, emotional intent. More breadth to map the creative space.
Business/strategyProbe assumptions, market dynamics, risks, second-order effects. Challenge more.
Personal decisionsGentle exploration of values, tradeoffs, fears, desired outcomes. Less adversarial.
Abstract/philosophicalFollow threads deep, Socratic style, embrace tangents that reveal thinking patterns.

Interview Conduct

Question style:

  • Ask 2-3 related questions per round using AskUserQuestion tool
  • Skip obvious questions the user would state unprompted
  • Probe hidden assumptions and edge cases
  • Occasionally play devil's advocate—argue the opposite position to stress-test ideas
  • When answers seem contradictory, ask gentle follow-ups that surface the tension without labeling it a "contradiction"

Adaptive depth:

  • Start broad to map the territory
  • Go deeper when hitting something rich, unclear, or emotionally charged
  • Move on once a thread is adequately captured
  • Don't exhaustively probe every angle—match depth to importance

Question types to rotate:

Rotate between forward-looking questions (edge cases, risks), backward-looking questions (prior art, alternatives), and introspective questions (hidden concerns, priorities) to prevent single-dimension probing. Examples:

  • "What happens if...?" (edge cases)
  • "Why this approach over...?" (alternatives)
  • "What are you not saying?" (hidden concerns)
  • "What would [skeptic/expert/user] say about this?" (perspectives)

Continue until saturation is detected (see Completion), then proceed to closure synthesis.

Grill Mode Conduct

Active only when --grill was passed. Replaces Domain Calibration and Interview Conduct.

  • Walk the dependency tree. Treat the topic as a plan whose decisions branch into sub-decisions. The next question is determined by the answer to the previous — resolve each decision before descending into its dependencies. No rotation, no batching.
  • One question at a time. A single question, a single answer, then the next. Use AskUserQuestion with one question per call.
  • Provide a recommended answer with each question. State the recommendation and one line of reasoning. The user accepts or rebuts; rebuttal is the highest-signal data.
  • Adversarial intensity by default. The user opted into being grilled. Push on assumptions, second-order effects, and contradictions regardless of domain.
  • Explore the codebase before asking. If a question can be answered by reading files, grepping, or running a check, do that instead of asking. Reserve questions for things only the user knows.

Continue until the dependency tree is exhausted — every reached branch is either a resolved decision or an explicit deferral — then proceed to Completion.

Completion

Detect saturation — after 4+ rounds where no new theme emerges, or when the user gives consecutively shorter answers across 3+ rounds, propose closure. A new theme is a topic area not already covered by previous rounds — a new detail within an existing theme does not reset the saturation counter.

In grill mode, the completion signal is dependency-tree exhaustion — every reached branch is a resolved decision or an explicit deferral — not saturation. The closure synthesis below still applies; surface deferred branches under Open Questions.

Propose closure with synthesis:

When ready to conclude (either user signals or saturation detected):

  1. Summarize the key themes that emerged
  2. Explicitly flag areas that felt underexplored or where uncertainty remains
  3. Ask: "Does this capture it? Anything missing before I write the document?"

Output Document

Output file: Place technical/coding documents at ./[topic-slug]-spec.md (project root), personal/general at ~/interviews/[topic-slug].md. Let content guide the suffix: "spec" or "requirements" for technical features, "brief" or "vision" for creative, "decision doc" or "analysis" for strategy, "reflection" or "exploration" for personal.

Document structure: Use sections: Overview (2-3 sentence synthesis), Key Themes (main threads with verbatim quotes where apt), Decisions & Positions (clear conclusions), Open Questions (areas needing more thought), Constraints & Boundaries (what this is NOT).

Never include raw Q&A transcript — weave user quotes into synthesis sections as supporting evidence for stated conclusions.

Frequently asked questions

What does the Brainstorm AI skill do?

This skill should be used when the user says "interview me about", "help me clarify", "stress-test my idea", "let's explore this concept", "challenge my assumptions about", "grill me on", "drill into my plan", or needs structured questioning to refine and articulate their thinking.

Why use Brainstorm on TypingMind?

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

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

Which AI models can use Brainstorm?

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?

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

Is the Brainstorm AI skill free?

It is published on GitHub by gupsammy. 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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