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Metamedium

Organization
team-attention
metamedium

This skill should be used when the user is building, planning, or strategizing and the key question is whether to optimize content (what) or change form (how/medium). Trigger on "내용 vs 형식", "content vs form", "metamedium", "형식을 바꿔볼까", "새로운 포맷", "관점 전환", "perspective shift", "다른 방법 없을까", "같은 방식이 안 먹혀", "diminishing returns". Applies Alan Kay's metamedium concept to surface form-level alternatives. For requirement clarification use vague; for strategy blind spots use unknown.

Overview

Publisherteam-attention
Repositoryplugins-for-claude-natives
Skill namemetamedium
Stars
827
Forks
106
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by team-attention on GitHub. Read the source before you install it.

Installation

Install the Metamedium 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/team-attention/plugins-for-claude-natives/tree/main/plugins/clarify/skills/metamedium
  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/team-attention/plugins-for-claude-natives.git /tmp/plugins-for-claude-natives
mkdir -p .claude/skills
cp -r /tmp/plugins-for-claude-natives/plugins/clarify/skills/metamedium .claude/skills/metamedium
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Metamedium 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 Metamedium 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 Metamedium 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.

Metamedium: Content vs Form Lens

Distinguish content (what is being said/built) from form (the medium/structure it's delivered through) to surface whether the real leverage is in optimizing content or inventing a new form. Based on Alan Kay's metamedium concept.

"A change of perspective is worth 80 IQ points." — Alan Kay

Core Concept

Most people only change content — what they say, write, or build. The real leverage comes from changing form — the medium, format, or structure itself.

Content (what)Form (how/medium)
ExampleWriting a LinkedIn postBuilding a tool that generates posts from client work
ExampleWriting unit tests manuallyBuilding a test generator from type signatures
ExampleGiving a workshopInventing a format where attendees co-create artifacts
LeverageLinear — each piece is one outputExponential — each new form enables infinite content

When to Use

  • Planning a project and unsure whether to optimize the output or the process
  • Stuck optimizing content with diminishing returns
  • Building something and want to check if form-level change would yield more leverage
  • Evaluating whether "more of the same" or "something structurally different" is the right move

For requirement clarification, use the vague skill. For strategy blind spot analysis, use the unknown skill.

Protocol

ALWAYS use the AskUserQuestion tool for the fork question in Phase 2 — never ask content/form choices in plain text.

Phase 1: Identify and Label

Read the user's current work, plan, or task. Classify each component as content or form:

[CONTENT] Writing a blog post about AI consulting
[FORM]    Building a pipeline that turns consulting retros into blog posts
[CONTENT] Deploying a new API endpoint
[FORM]    Building a codegen that auto-generates endpoints from schemas
[CONTENT] Fixing a flaky test
[FORM]    Building a test infrastructure that prevents flaky tests by design

Present the labeling to the user as a brief diagnosis.

Phase 2: Surface the Fork

Use AskUserQuestion to present the content/form choice:

questions:
  - question: "This is currently [CONTENT/FORM]-level work. Where should effort go?"
    header: "Level"
    options:
      - label: "Proceed with content"
        description: "Optimize within the current form — faster, lower risk"
      - label: "Explore form change"
        description: "What if the medium/structure itself changed? Higher leverage"
      - label: "Content now, note form"
        description: "Do the content work, but flag the form opportunity for later"
    multiSelect: false

Phase 3: Branch

If "Proceed with content": Acknowledge and proceed. Include a Form Opportunity note in the output for future reference.

If "Explore form change": Generate 2-3 form alternatives. For each alternative:

  • What the new form looks like concretely
  • What new properties it would have (automatic, repeatable, scalable, composable)
  • Minimum viable version to test the form

If "Content now, note form": Proceed with content work. Append the form opportunity to the output.

Output

Append to any deliverable or present standalone:

markdown
## Content/Form Analysis

**Current work**: [description]
**Classification**: [CONTENT / FORM]

### Form Opportunity
| | Detail |
|---|--------|
| **Alternative form** | [what it would look like] |
| **New properties** | [what it enables that current form doesn't] |
| **Minimum test** | [smallest version to validate] |
| **Status** | [exploring / noted for later / not applicable] |

The Metamedium Question

When stuck or when optimizing yields diminishing returns:

"What new form/medium could make this problem disappear?"

Examples:

  • Stuck writing more posts? → A format that turns client work into posts automatically
  • Test coverage plateauing? → A tool that generates tests from type signatures
  • Onboarding too slow? → A self-guided format where the codebase teaches itself

Tetris Test

Change the blocks. Then you realize the original blocks were mathematically calculated.

To truly understand a form, try to change it. The constraints discovered ARE the form's intelligence. Perspective shifts happen not by thinking harder, but by touching the form itself.

Anti-Patterns

  • Treating all work as content optimization when form change is available
  • Building "better content" when the form is the bottleneck
  • Assuming the current medium/format is fixed and only content can vary
  • Confusing incremental content improvement with form invention

Rules

  1. Always label: Tag work as content or form
  2. Content is fine: Not everything needs form change — but always note the option
  3. Form yields power: New form = new medium = exponential leverage
  4. Code is metamedium: The ability to code means the ability to change form
  5. Touch to understand: Change the form to discover why it was designed that way

Additional Resources

For Alan Kay's original ideas and source quotes, see references/alan-kay-quotes.md.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Metamedium AI skill do?

This skill should be used when the user is building, planning, or strategizing and the key question is whether to optimize content (what) or change form (how/medium). Trigger on "내용 vs 형식", "content vs form", "metamedium", "형식을 바꿔볼까", "새로운 포맷", "관점 전환", "perspective shift", "다른 방법 없을까", "같은 방식이 안 먹혀", "diminishing returns". Applies Alan Kay's metamedium concept to surface form-level alternatives. For requirement clarification use vague; for strategy blind spots use unknown.

Why use Metamedium on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/team-attention/plugins-for-claude-natives/tree/main/plugins/clarify/skills/metamedium. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Metamedium?

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 Metamedium?

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

Is the Metamedium AI skill free?

Yes. It is published on GitHub by team-attention 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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