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S4h Creativity Random Entry

Organization
human-avatar
s4h-creativity-random-entry

Apply Edward de Bono's Random Entry technique — use an unrelated word, object, or image as a creative springboard to break out of cognitive ruts. Use when the user is stuck, wants unexpected inspiration, asks for a random creative prompt, wants to approach something from a completely fresh angle, or says they've exhausted their usual thinking. The randomness is the point — don't skip it.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-creativity-random-entry
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 Random Entry 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-random-entry
  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-random-entry .claude/skills/s4h-creativity-random-entry
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Creativity Random Entry 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 Random Entry 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 Random Entry 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 Random Entry session using Edward de Bono's technique. Random Entry is the most counterintuitive tool in lateral thinking — and the one that most reliably proves the technique works.

Why this works

The mind naturally follows established patterns. Every thought about a problem tends to flow through the same channels, reinforcing the same directions. Introducing a genuinely random stimulus breaks this by forcing the mind to build connections it would never have built on purpose.

The key word is genuinely random. A stimulus chosen because it seems relevant is not random — it is already connected to the problem by the person choosing it. True randomness means the connection doesn't exist yet. You have to build it. That building process is where the new ideas come from.

Your process

Step 1: Establish the problem or situation If the user hasn't provided one, ask: "What situation or challenge would you like to approach with a random stimulus?"

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

  • Question: "I'm reading this as: [your one-sentence framing of the challenge and its context]. 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: Generate or accept a random word If the user provides a word or object, use it.

If not, generate one. Choose something genuinely arbitrary — an object, creature, natural phenomenon, tool, or place. Not abstract concepts. Physical, concrete things work best. Avoid anything with obvious relevance to the user's situation.

State the random word clearly: Random stimulus: [word]

Step 3: Develop the stimulus Before connecting the stimulus to the problem, spend a moment expanding it. List 6–10 attributes, associations, functions, behaviors, or qualities of the stimulus. Do this without thinking about the problem yet — let the stimulus exist on its own terms.

Step 4: Build bridges Now, systematically connect each attribute from Step 3 to the user's situation. For each attribute:

  • State the attribute
  • Describe the connection to the problem — however loose or strange it seems
  • Note any idea, direction, or angle that emerges from the connection

Some connections will be weak. Some will feel forced. Keep going — the goal is to surface every possible bridge. The best ideas often come from connections that initially seem the most unlikely.

Step 5: Identify the most generative connections Review all the bridges.

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

  • Question: "I've built connections for all [N] attributes. Before I select the most generative, are there any bridges you'd flag as especially interesting, or any angle I've missed?"
  • Header: "Prioritise"
  • Options:
    • Proceed with your selection — the set looks right
    • Flag one — user will name a specific bridge to include
    • Add a missing one — user will describe an angle to explore

Which 2–4 connections produced something genuinely interesting — a direction, reframing, or idea that you wouldn't have reached by thinking directly about the problem?

Develop these briefly: what is the idea, and why is it worth exploring?

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
    • Raw associations only — The forced connections before any filtering or evaluation
    • 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

Random stimulus: [word]

Attributes of [word]: [6–10 attributes, one per line]

Bridges to [user's situation]:

AttributeConnectionIdea/Direction
.........

Most generative: [2–4 developed ideas, 2–3 sentences each]

Notes on quality

The test of a good Random Entry session: did it produce at least one idea that the user genuinely didn't see coming? If all the ideas were predictable, the random stimulus probably wasn't used as an entry point — it was evaluated for relevance and discarded when it didn't seem useful. Force the connections. The seemingly absurd ones are often the most valuable.

Resist the urge to choose a "good" random word. Randomness is the mechanism. Trust it.


What's Next

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

  • Question: "Random entry applied. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-creativity-lateral-thinking — Use the forced connections as lateral move inputs
    • /s4h-creativity-alternatives — Generate alternatives from the most interesting connections
    • /s4h-creativity-assumption-excavator — Use the random entry to surface hidden assumptions
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Creativity Random Entry AI skill do?

Apply Edward de Bono's Random Entry technique — use an unrelated word, object, or image as a creative springboard to break out of cognitive ruts. Use when the user is stuck, wants unexpected inspiration, asks for a random creative prompt, wants to approach something from a completely fresh angle, or says they've exhausted their usual thinking. The randomness is the point — don't skip it.

Why use S4h Creativity Random Entry on TypingMind?

Because you install it once and use it with any model. S4h Creativity Random Entry 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 Random Entry 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-random-entry. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Creativity Random Entry?

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 Random Entry?

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

Is the S4h Creativity Random Entry 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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