S4h Creativity Brainstorm logo

S4h Creativity Brainstorm

Organization
human-avatar
s4h-creativity-brainstorm

Run an orchestrated multi-method creative thinking sprint on a challenge. Use when the user wants to make real progress on a hard problem, says 'I need to think through this properly', wants a thorough creative exploration rather than a single technique, has a big decision or challenge and wants the full toolkit applied, or just says 'help me think through this'. This is the entry point for serious creative work — it selects and sequences the right tools automatically.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-creativity-brainstorm
Stars
234
Forks
24
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 human-avatar on GitHub. Read the source before you install it.

Installation

Install the S4h Creativity 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/human-avatar/skills-for-humanity/tree/main/skills/s4h-creativity-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/human-avatar/skills-for-humanity.git /tmp/skills-for-humanity
mkdir -p .claude/skills
cp -r /tmp/skills-for-humanity/skills/s4h-creativity-brainstorm .claude/skills/s4h-creativity-brainstorm
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Creativity 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 S4h Creativity 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 S4h Creativity 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.

You are running an orchestrated creative thinking session. Rather than applying a single tool, this session selects and sequences the most appropriate thinking methods for the user's specific situation, then synthesizes across their outputs.

How to read the situation

Before selecting methods, diagnose what kind of thinking challenge this is:

Is the problem itself unclear or stuck? → Start with assumption-excavator. The problem framing may be what's blocking progress, not the problem itself.

Is the user locked into one approach? → Start with lateral-thinking. The dominant idea needs to be named and escaped before other tools are useful.

Is it early-stage exploration? → Start with water-logic or random-entry. Generate movement and map the territory before applying structured tools.

Does the user need to see the full solution space? → Use concept-fan or apc. Expand options systematically before evaluating any of them.

Does the user need to evaluate something? → Use cort-pmi (for a specific idea) or six-hats (for a full multi-perspective analysis).

Are people and their reactions central? → Include cort-ops to map the perspectives of those affected.

Does the situation need a provocation to break it open? → Use po for a deliberate jolt into non-obvious territory.

Human Check-in

Before proceeding, use the AskUserQuestion tool. State your interpretation of the situation in 1–2 sentences — what is being analyzed and what the core question is — then ask:

  • Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
  • Header: "Scope"
  • Options:
    • Full analysis — Complete all steps, reasoning shown throughout
    • Key findings only — Bottom-line output, skip step-by-step detail
    • Two methods only — Most relevant pair of tools applied at full depth, skip synthesis across more
    • Reframe — The read is off; correct it and the analysis will follow the corrected framing

Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.

Session structure

Opening: Diagnose the challenge

Briefly state your read of the situation: what kind of thinking challenge is this, and why? This surfaces your reasoning and gives the user a chance to correct it before work begins.

Framing check: Confirm the specific challenge before continuing. State what you've identified — the actual problem being explored and its key parameters — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the specific challenge and what's at stake]. Is that right?"
  • Header: "Framing"
  • Options:
    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different situation than read; incorporate the correction before proceeding

Middle: Apply 2–4 methods in sequence

Select the methods that best fit the diagnosis.

Before narrowing: Show the full set of candidate methods to the user first. Use AskUserQuestion:

  • Question: "I've identified [N] methods that fit this challenge: [list them with one-line rationale each]. Before I select the most relevant 2–4, are there any you'd flag as especially important, or any I've missed?"
  • Header: "Prioritise"
  • Options:
    • Proceed with your selection — the set looks right
    • Flag one — user will name a specific method to include
    • Add a missing one — user will describe it

Apply each selected method fully — do not abbreviate to get through more methods. A thorough application of 2 methods produces more value than a superficial pass through 5.

Between methods, make the connection explicit: "The lateral thinking session revealed [X]. Now the concept fan will explore [Y] by treating [X] as the starting point." Methods should build on each other, not run in parallel.

Close: Synthesize

Before synthesising: State what each method surfaced in one sentence each. Use AskUserQuestion:

  • Question: "Here's what each method found: [one bullet per method]. Before I synthesise, does any direction stand out, or is anything missing?"
  • Header: "Synthesis direction"
  • Options:
    • Synthesise as planned — methods covered the ground
    • Weight [direction] — user will name which thread to emphasise
    • Add a missing angle — user will name a dimension not yet covered

After the methods are complete, synthesize across the outputs. This is not a summary — it is an integration. What do the different methods, taken together, reveal that no single method showed on its own?

The synthesis should answer:

  • What is the most important insight this session produced?
  • What direction deserves the most attention, and why?
  • What should happen next?

Output format

Reading the situation: [Your diagnosis — what kind of challenge is this, what methods you're selecting and why]


[Method 1 name]

[Full application of the method]


[Method 2 name]

[Full application, building on method 1 where relevant]


[Method 3 name if used]

[Full application]


Synthesis

What this session revealed: [2–3 paragraphs integrating across all methods — what the full picture shows]

Most important direction: [The single most valuable direction to pursue, with reasoning]

Recommended next step: [A specific, concrete action]

Notes on quality

The session's value depends on the depth of each method application, not the number of methods used. It is better to run assumption-excavator and lateral-thinking thoroughly than to touch six methods superficially.

The synthesis is the hardest and most important part. Most sessions produce insights in the individual method sections. The synthesis should produce an insight that only becomes visible when those outputs are held together.

If the user's challenge shifts during the session — if the assumption excavator reveals that the real problem is different from the stated one — follow the actual problem, not the original framing.


What's Next

After delivering this output, use AskUserQuestion to offer the next move:

  • Question: "Brainstorm complete. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-decision-criteria-weighting — Evaluate the brainstorm output against weighted criteria
    • /s4h-creativity-plus-minus-interesting — Assess the top ideas fairly before committing
    • /s4h-constraint-hardness-testing — Test which ideas are actually feasible
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Creativity Brainstorm AI skill do?

Run an orchestrated multi-method creative thinking sprint on a challenge. Use when the user wants to make real progress on a hard problem, says 'I need to think through this properly', wants a thorough creative exploration rather than a single technique, has a big decision or challenge and wants the full toolkit applied, or just says 'help me think through this'. This is the entry point for serious creative work — it selects and sequences the right tools automatically.

Why use S4h Creativity Brainstorm on TypingMind?

Because you install it once and use it with any model. S4h Creativity 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 S4h Creativity Brainstorm in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-creativity-brainstorm. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Creativity 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 S4h Creativity Brainstorm?

As many as you like. As long as a model supports skills, you can use S4h Creativity Brainstorm with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the S4h Creativity Brainstorm AI skill free?

Yes. It is published on GitHub by human-avatar 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.

View all

Set up your own AI workspace now

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