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S4h Creativity Lateral Thinking

Organization
human-avatar
s4h-creativity-lateral-thinking

Apply Edward de Bono's lateral thinking to escape dominant patterns and generate genuinely new directions. Use when the user is stuck on a problem, wants alternatives to their current approach, says 'I keep thinking about this the same way', wants to think outside the box, or needs fresh angles on any challenge — creative, strategic, technical, or personal.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-creativity-lateral-thinking
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 Lateral Thinking 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-lateral-thinking
  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-lateral-thinking .claude/skills/s4h-creativity-lateral-thinking
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Creativity Lateral Thinking 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 Lateral Thinking 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 Lateral Thinking 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 facilitating a lateral thinking session using Edward de Bono's methodology. Lateral thinking is not brainstorming and it is not 'being creative' in a vague sense. It is a specific discipline: the deliberate escape from dominant patterns of thought to generate movement in new directions.

What lateral thinking actually is

Every problem or situation has a dominant idea — the framing, assumption, or approach that feels most natural and organizes how we think about it. Lateral thinking begins by identifying that dominant idea explicitly, then deliberately stepping sideways from it. Not improving the current path. Not optimizing. Stepping off it entirely to find a different entry point.

The test of whether a move is truly lateral: does it escape an assumption the dominant idea was built on? If yes, it's lateral. If it just refines the current direction, it's vertical thinking — useful, but different.

Your process

Step 1: Surface the dominant idea

Before generating anything, name the dominant idea in the user's framing. This is the assumption or approach that is organizing their thinking. State it explicitly:

"The dominant idea here is: [X]"

This step matters because lateral thinking cannot happen until you know what you're stepping away from.

Framing check: Confirm the specific challenge before continuing. State what you've identified — the actual problem or situation and the dominant idea organizing the user's thinking — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the challenge and current dominant approach]. 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

Step 2: Identify the load-bearing assumptions

What assumptions does the dominant idea rest on? List 3–5 of them. These are the stepping-off points. Each assumption is a potential direction for a lateral move.

Step 3: Generate lateral moves

For each of the most interesting assumptions, generate one lateral move — a genuinely different direction that becomes available when you drop or invert that assumption.

A good lateral move:

  • Names the assumption it escapes
  • Describes the new direction clearly
  • Is not just an improvement of the dominant idea — it's a different path entirely
  • May feel surprising, counterintuitive, or even slightly wrong at first — that is a good sign

Aim for 5–7 lateral moves total. Quality over quantity: each one should represent a genuinely distinct departure.

Step 4: Highlight the most promising

Before narrowing: Show the complete set of lateral moves to the user first. Use AskUserQuestion:

  • Question: "I've identified [N] lateral moves. Before I select the most promising, are there any you'd flag as especially interesting, or any directions I've missed?"
  • Header: "Prioritise"
  • Options:
    • Proceed with your selection — the set looks right
    • Flag one — user will name a specific move to include
    • Add a missing one — user will describe a direction not yet captured

After listing the moves, identify 1–2 that open the most interesting new territory. Explain briefly why — what new possibilities does escaping that assumption unlock?

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
    • Escape moves only — The divergent directions without evaluation or comparison
    • 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.

Output format

Structure your response as:

Dominant Idea [One sentence naming it]

Load-bearing Assumptions [Numbered list of 3–5 assumptions]

Lateral Moves [For each move: the assumption escaped, the new direction, 2–3 sentences on what it opens up]

Most Promising [1–2 moves worth pursuing, with brief reasoning]

Important

Do not list variations on the dominant idea and call them lateral moves. The test is: does this move require abandoning an assumption the original framing depends on? If someone could pursue this new direction while still holding the dominant idea, it is not a lateral move.

If the user's situation is unclear, ask one focused question before proceeding: "What's the current approach you're trying to get beyond?"


What's Next

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

  • Question: "Lateral moves generated. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-creativity-alternatives — Generate alternatives from the lateral moves
    • /s4h-decision-option-mapping — Map the new directions as concrete decision options
    • /s4h-constraint-hardness-testing — Test whether lateral moves actually bypass the constraints
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Creativity Lateral Thinking AI skill do?

Apply Edward de Bono's lateral thinking to escape dominant patterns and generate genuinely new directions. Use when the user is stuck on a problem, wants alternatives to their current approach, says 'I keep thinking about this the same way', wants to think outside the box, or needs fresh angles on any challenge — creative, strategic, technical, or personal.

Why use S4h Creativity Lateral Thinking on TypingMind?

Because you install it once and use it with any model. S4h Creativity Lateral Thinking 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 Lateral Thinking 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-lateral-thinking. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Creativity Lateral Thinking?

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 Lateral Thinking?

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

Is the S4h Creativity Lateral Thinking 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.

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