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Information Hierarchy

Community
haowjy
information-hierarchy

Load for large human-facing outputs: reports, docs, multi-section explanations, artifacts. Choose the right form for each beat (prose, diagram, table, mockup) and put the answer first, depth behind it. If the medium allows, use progressive disclosure.

Overview

Publisherhaowjy
Repositorycreative-writing-skills
Skill nameinformation-hierarchy
Stars
511
Forks
69
Bundled files
Instructions only
LicenseApache-2.0
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 haowjy on GitHub. Read the source before you install it.

Installation

Install the Information Hierarchy 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/haowjy/creative-writing-skills/tree/main/cw/skills/information-hierarchy
  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/haowjy/creative-writing-skills.git /tmp/creative-writing-skills
mkdir -p .claude/skills
cp -r /tmp/creative-writing-skills/cw/skills/information-hierarchy .claude/skills/information-hierarchy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Information Hierarchy 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 Information Hierarchy 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 Information Hierarchy 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.

Information Hierarchy

The reader should get the answer in the first thing they see, and find depth only when they reach for it. Everything else here follows from that: each beat of the piece takes the form that carries it best, what matters most comes first, and the medium stays as simple as the content allows.

Lead with the answer/conclusion

Readers scan. Open with the finding itself, and the piece works in thirty seconds. The same logic repeats at every scale: a section's first sentence is its answer, a slide's title is its takeaway ("Cache misses double p99" rather than "Performance"), a UI label carries its whole meaning alone.

Behind the answer sits depth (reasoning, evidence, edge cases), and behind that, sources. Keep depth that most readers will skip, and move it: a later section, a linked page, a footnote. Sources belong at the end.

Pick the form that fits the idea

Prose is the default; break from it when another form genuinely carries the idea better. An example grounds an abstract claim faster than more explanation. A table holds enumerable facts that prose would bury. A chart shows a trend that a sentence can only assert. A mockup shows a layout the reader would otherwise have to imagine.

Diagram-first for pipelines and relationships. When the content is a pipeline, a dependency graph, a state machine, or any structure where the relationship between parts is the hard idea, put the diagram early — a one-sentence takeaway, then the diagram, then detailed prose. The diagram leads, the prose still explains; prose alone buries the shape. Keep inline diagrams to a handful of nodes and give larger structures an explorable view. Validate diagrams (see /md-validation).

Ask what the beat is trying to do, then give it the form that does that: an explanation gets a paragraph, a comparison gets a table. Each form teaches best inside its own job: a diagram standing in for an explanation teaches less than the paragraph would.

Match hierarchy to the medium

For any medium, ask one question: can it hide content until the reader asks for it? Chat, email, and plain documents show everything at once, so hierarchy there means density and order: every early sentence pays for itself, and depth lives behind a link. Media that can hide (HTML, apps, anything with expand or navigate) may fold depth into collapsed sections, popovers, or child pages. Reserve each interaction for depth a reader will actually reach for.

Structure helps the scanner in every medium: headers that carry the argument on their own, asides for context off the main thread, a table of contents when the piece is long enough to need a map. These organize the surface; putting the answer first remains the job of the writing itself.

Choose the simplest medium that presents every beat well: a tight reply beats an HTML site whenever both would teach the same thing. When HTML is earned, build it phone-first and use /structured-artifact.

Sources

Frequently asked questions

What does the Information Hierarchy AI skill do?

Load for large human-facing outputs: reports, docs, multi-section explanations, artifacts. Choose the right form for each beat (prose, diagram, table, mockup) and put the answer first, depth behind it. If the medium allows, use progressive disclosure.

Why use Information Hierarchy on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/haowjy/creative-writing-skills/tree/main/cw/skills/information-hierarchy. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Information Hierarchy?

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 Information Hierarchy?

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

Is the Information Hierarchy AI skill free?

Yes. It is published on GitHub by haowjy under the Apache-2.0 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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