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Creativity Engine

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Mark393295827
creativity-engine

Use when a defined problem needs diverse ideas, cross-domain combinations, and cheap experiments instead of a single untested answer.

Overview

PublisherMark393295827
Repositorythird-brain-v7-skills
Skill namecreativity-engine
Stars
141
Forks
22
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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 Mark393295827 on GitHub. Read the source before you install it.

Installation

Install the Creativity Engine 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/Mark393295827/third-brain-v7-skills/tree/main/skills/creativity-engine
  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/Mark393295827/third-brain-v7-skills.git /tmp/third-brain-v7-skills
mkdir -p .claude/skills
cp -r /tmp/third-brain-v7-skills/skills/creativity-engine .claude/skills/creativity-engine
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Creativity Engine 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 Creativity Engine 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 Creativity Engine 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.

Creativity Engine

<skill_contract> Defined problem, target user, desired change, constraints, prior attempts, and experiment budget. Three non-equivalent options with scored mechanisms and falsifiable minimum experiments. Each selected option has a hypothesis, smallest artifact, participant, threshold, budget, stop rule, and failure learning. <non_goals>Unbounded brainstorming, novelty without utility, polished prose before diversity, or presenting ideas as validated demand.</non_goals>

Create option value by combining mechanisms, constraints, and analogies, then convert the strongest options into minimum experiments.

Usage Template

Provide: problem, target user, desired change, constraints, existing attempts, and experiment budget. Optional: domains or concepts to combine.

Workflow

Rewrite the request as For [user], change [state] under [constraints], measured by [signal]. Extract reusable building blocks: actors, assets, mechanisms, channels, incentives, and constraints.

<unknowns_gate>

If no user, problem, or constraint is available, return NEEDS_INPUT with one discriminating probe. Treat market demand, technical feasibility, and user behavior as testable unknowns, not assumptions to hide.

</unknowns_gate>

  1. Generate 10-20 combinations across at least three mechanisms or domains.
  2. Include inversion, subtraction, constraint removal, and one distant analogy.
  3. Cluster duplicates by underlying mechanism, not wording.
  4. Score survivors on expected value, test difficulty, distinctiveness, reversibility, and evidence gap.
  5. Select three non-equivalent options.
  6. For each, define a minimum experiment: hypothesis, smallest artifact, target participant, success threshold, budget, stop rule, and learning captured on failure.

Do not optimize prose before option diversity. A useful failed experiment is better than an impressive concept with no falsifier.

Check that the top three differ in mechanism, fit constraints, expose their largest unknown, and can be tested cheaply. Remove ideas that are only features, slogans, or unsupported scale claims. Recombine once if all finalists share the same failure mode.

Failure Protocol

  • NEEDS_INPUT: the problem frame lacks a user or constraint.
  • INSUFFICIENT_EVIDENCE: ranking depends on unavailable market or technical facts; mark provisional and probe.
  • VERIFY_FAILED: finalists are duplicates or have no falsifiable test; regenerate around different mechanisms.
  • BUDGET_STOP: no experiment fits the budget; return the cheapest information-gathering action.

Output Contract

Return status, result (idea clusters and top-three experiments), evidence (inputs and scoring basis), unknowns, and next_action.

Edge Cases

  • The requester supplies a favored solution: include it as one candidate, then generate alternatives from different mechanisms before ranking.
  • The domain is regulated or safety-critical: make approval and compliance discovery part of the experiment; do not test on live users without authorization.

Success Metrics

  • At least three materially different mechanisms survive evaluation.
  • Every finalist has a bounded, falsifiable experiment.
  • The next experiment reduces the largest decision-relevant unknown.

Quality Gates

  • Problem, user, constraint, and signal are explicit.
  • Idea count and diversity thresholds are met.
  • Rankings state assumptions and evidence gaps.
  • Experiments include threshold, budget, and stop rule.

</skill_contract>

Frequently asked questions

What does the Creativity Engine AI skill do?

Use when a defined problem needs diverse ideas, cross-domain combinations, and cheap experiments instead of a single untested answer.

Why use Creativity Engine on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mark393295827/third-brain-v7-skills/tree/main/skills/creativity-engine. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Creativity Engine?

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 Creativity Engine?

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

Is the Creativity Engine AI skill free?

Yes. It is published on GitHub by Mark393295827 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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