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S4h Aesthetic Simplicity Analysis

Organization
human-avatar
s4h-aesthetic-simplicity-analysis

Finds the simpler version while preserving what matters — not arbitrary reduction, but finding the core and discarding what is not it. TRIGGERS: 'find the simple version', 'simplify this', 'what's the essence', 'less but better', 'strip it back', 'what could we remove'.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-aesthetic-simplicity-analysis
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 Aesthetic Simplicity Analysis 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-aesthetic-simplicity-analysis
  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-aesthetic-simplicity-analysis .claude/skills/s4h-aesthetic-simplicity-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Aesthetic Simplicity Analysis 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 Aesthetic Simplicity Analysis 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 Aesthetic Simplicity Analysis 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.

Aesthetic Simplicity Analysis

Simplicity is not minimalism for its own sake — it is the clarity that emerges when everything that obscures the essence has been removed. Most things accumulate layers: additions made under pressure, elements that hedge against edge cases, features added to satisfy someone who asked. The result is a thing that does everything adequately and nothing powerfully. This skill finds the core and tests what must stay, what can go, and what removal would actually cost.


Your Process

Step 1: State the Thing and Its Purpose What is it, and what is it supposed to do? Name the object — a strategy, product, message, design, process, argument — and state its job in one sentence. If the purpose isn't clear, clarifying it is the first act of simplification.

Framing check: Confirm the specific subject before continuing. State what you've identified — the actual object being analyzed and its intended purpose — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the specific object and its purpose]. 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: Find the Essence If you could keep only one thing — one idea, one element, one mechanism — and it had to carry the entire weight of the purpose, what would it be? State this as one sentence. This is the essence. Everything else in the analysis flows from whether it serves this or doesn't.

Step 3: Classify Each Element Go through every component or layer. Assign each one of three classifications:

  • Essence — it is the core, or it expresses the core directly and powerfully
  • Supporting the essence — it helps the core do its job; without it the essence is harder to access or less effective
  • Obscuring the essence — it dilutes the core, competes with it for attention, or adds noise that the reader or user must filter out to reach what matters

Step 4: Remove and Reduce Eliminate everything classified as obscuring. Reduce everything classified as supporting to the minimum required for the essence to land clearly. Each reduction is a decision — name what it costs and why that cost is acceptable.

Step 5: Test with What Remains With the reduced set: can the essence be felt clearly? Does the version with less do the original job? If not, something was misclassified — a supporting element was actually doing more work than was visible. Revise and keep it.

Step 6: Name What Was Lost What was removed, and what did each removal cost? Some removals are free — the element was noise that looked like signal. Some involve real trade-offs — the removed element served a secondary purpose worth acknowledging even if not worth keeping.


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
    • Removals only — What can be cut while preserving what matters
    • 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

Essence: [one sentence — the irreducible core of what this thing is and does]

Element Classification

ElementClassificationRationale
[component][essence / supporting / obscuring][why — what it does for the core]

Simplified Version: [what remains after removal and reduction]

What Was Lost

Removed ElementWhat It DidAcceptable Loss?
[element][secondary function][yes — free / yes — acceptable trade-off / no — reclassify]

Verdict: Does the simplified version deliver the essence clearly? [yes / partial — state what's still competing / no — revise classification]


Notes

The goal is not the shortest version but the clearest. A long thing can be simple if every part serves the essence. A short thing can be incoherent if it's just been cut without finding the core first. Simplicity is achieved when adding anything would be wrong, and removing anything would be a loss.


What's Next

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

  • Question: "Simplicity analysed. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-aesthetic-elegance-testing — Test the elegance of the simplified version
    • /s4h-writing-line-editing — Edit for the simplicity findings
    • /s4h-aesthetic-coherence-check — Check the simplified version still coheres
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Aesthetic Simplicity Analysis AI skill do?

Finds the simpler version while preserving what matters — not arbitrary reduction, but finding the core and discarding what is not it. TRIGGERS: 'find the simple version', 'simplify this', 'what's the essence', 'less but better', 'strip it back', 'what could we remove'.

Why use S4h Aesthetic Simplicity Analysis on TypingMind?

Because you install it once and use it with any model. S4h Aesthetic Simplicity Analysis 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 Aesthetic Simplicity Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-aesthetic-simplicity-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Aesthetic Simplicity Analysis?

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 Aesthetic Simplicity Analysis?

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

Is the S4h Aesthetic Simplicity Analysis 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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