Brainstorming logo

Brainstorming

OrganizationPopular
sentient-agi
brainstorming

IMMEDIATELY USE THIS SKILL before answering any task - internal design thinking that identifies the question type, selects applicable skills, and converges on the best approach before implementation

Overview

Publishersentient-agi
RepositoryEvoSkill
Skill namebrainstorming
Stars
1.2K
Forks
132
Bundled files
Instructions only
LicenseApache-2.0
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 sentient-agi 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/sentient-agi/EvoSkill/tree/main/.claude/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/sentient-agi/EvoSkill.git /tmp/EvoSkill
mkdir -p .claude/skills
cp -r /tmp/EvoSkill/.claude/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.

Internal Design Thinking

Overview

Structured self-dialogue before answering any question or task. Analyze what's being asked, identify which skills apply, reason through the approach, then execute.

Core principle: Think first, execute second. Map the question to the right skill chain before acting.

The Process

Phase 1: Question Classification

Analyze the question to determine:

  • Domain: What subject area does this fall into?
  • Data type: What kind of data or input is involved?
  • Time scope: Single point, time series, comparison, or not applicable?
  • Operation type: Raw lookup, calculation, transformation, generation, analysis?
  • Output format: What form should the answer take (number, text, code, list, etc.)?
  • Key terms: If the question uses a specific term or method, explicitly state its definition/formula BEFORE proceeding

Phase 2: Skill Selection

Review available skills and determine which apply:

  1. List all skills currently available in .claude/skills/
  2. For each skill, check if it is relevant to the question's domain and operation type
  3. If multiple skills apply, determine the order they should be chained

Skill chain reasoning:

  • "This question requires [X], which maps to skill [Y]"
  • "After [Y], I need to apply [Z] for the final transformation"
  • "No existing skill covers [W] — proceed with general reasoning"

Phase 3: Approach Design

For the selected skills, map out the execution path:

  1. Data retrieval: Where does the relevant data live? What search patterns to use?
  2. Transformations: What processing or conversions are needed?
  3. Analysis: What computation, reasoning, or synthesis is required?
  4. Formula verification (if applicable):
    • Write out the exact formula to be used
    • Verify it matches the standard definition of the term in the question
    • Confirm units and dimensions are consistent throughout
  5. Validation: How will you verify intermediate results are correct?
  6. Output: What format does the question expect?

State assumptions explicitly:

  • "Assuming [X] convention because..."
  • "Interpreting [term] as [definition] because..."
  • "Using [method] since the question specifies..."

Phase 4: Design Summary

Before execution, articulate the plan:

## Analysis Plan

**Question type:** [classification]

**Skills to apply:**
1. [skill name] → [what it does for this question]
2. [skill name] → [what it does for this question]

**Data sources:** [where to find the relevant data]

**Key steps:**
1. [step]
2. [step]
...

**Precision note** (if applicable): [number of decimal places, rounding rules, etc.]

**Assumptions:** [list any]

**Proceeding with execution.**

Phase 5: Execute

  • Follow the plan from Phase 4
  • Verify each intermediate result before proceeding to the next step
  • Complete pre-output verification before stating final answer

Phase 6: Pre-Output Verification (MANDATORY)

Before outputting, check:

  1. Units/dimensions correct for the question type?
  2. Value in reasonable range for the domain?
  3. Computation fully completed (not partial)?
  4. Answer addresses exactly what was asked?

If ANY check fails → re-verify inputs and reasoning.

Remember

  • This is internal reasoning — no questions, no waiting
  • ALWAYS verify data extracted from files or tables before using it in calculations
  • State assumptions so errors are traceable
  • The goal is selecting the right approach, not documenting
  • Once the plan is clear, execute immediately

Frequently asked questions

What does the Brainstorming AI skill do?

IMMEDIATELY USE THIS SKILL before answering any task - internal design thinking that identifies the question type, selects applicable skills, and converges on the best approach before implementation

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/sentient-agi/EvoSkill/tree/main/.claude/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 sentient-agi under the Apache-2.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇