Agent skill

S4h Aesthetic Simplicity Analysis

by human-avatar in human-avatar/skills-for-humanity

Finds the simpler version while preserving what matters — not arbitrary reduction, but finding the core and discarding what is not it.

MITAuto-check passed

Install S4h Aesthetic Simplicity Analysis

skills CLI
$ npx skills add human-avatar/skills-for-humanity --skill s4h-aesthetic-simplicity-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install human-avatar/skills-for-humanity s4h-aesthetic-simplicity-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/human-avatar/skills-for-humanity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/s4h-aesthetic-simplicity-analysis .claude/skills/s4h-aesthetic-simplicity-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
s4h-aesthetic-simplicity-analysis
GitHub stars
231
Token cost
~1.4k tokens
SKILL.md length
752 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Finds the simpler version while preserving what matters — not arbitrary reduction, but finding the core and discarding what is not it.

  • SKILL.md covers Your Process, Human Check-in, Output Format and Notes, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

S4h Aesthetic Simplicity Analysis is an agent skill from human-avatar/skills-for-humanity. 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'.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Structured reasoning methodologies from history's most rigorous thinkers, packaged as Claude Code skills. The licence is MIT.

Example prompts

  • “find the simple version”
  • “simplify this”
  • “s the essence”
  • “/s4h-aesthetic-simplicity-analysis”

What it can do on your machine

Read from SKILL.md and the folder at commit a30df8b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

S4h Aesthetic Simplicity Analysis loads about 1.4k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 752 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from human-avatar/skills-for-humanity at commit a30df8b, republished under its MIT licence (© human-avatar). 752 words, ~1,382 tokens.

Download SKILL.mdSave it as .claude/skills/s4h-aesthetic-simplicity-analysis/SKILL.md (or your agent's skills folder).
name
s4h-aesthetic-simplicity-analysis
description
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'.

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.


Show full SKILL.md (286 more words)Show less

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

© human-avatar, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/s4h-aesthetic-simplicity-analysis of human-avatar/skills-for-humanity.

Open the folder on GitHubat commit a30df8b

Compare with similar skills

S4h Aesthetic Simplicity Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

S4h Aesthetic Simplicity Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
S4h Aesthetic Simplicity Analysis this skillhuman-avatar/skills-for-humanity231—~1.4kAutomated safety check: PassMIT
Find Releaseflutter/flutter180k—~545Automated safety check: PassBSD-3-Clause
Fd Findpenpot/penpot61k—~882Automated safety check: PassMPL-2.0
Matterbrycewang-stanford/Awesome-Journal-Skills1.2k—~2.1kAutomated safety check: PassMIT
Matter Workspaceanthropics/claude-for-legal9.6k3 repos~2.5kAutomated safety check: PassApache-2.0
Matter Workspaceanthropics/claude-for-legal9.6k2 repos~2.4kAutomated safety check: PassApache-2.0

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Questions about S4h Aesthetic Simplicity Analysis

What does S4h Aesthetic Simplicity Analysis do?

Finds the simpler version while preserving what matters — not arbitrary reduction, but finding the core and discarding what is not it. S4h Aesthetic Simplicity Analysis is an agent skill from human-avatar/skills-for-humanity. Finds the simpler version while preserving what matters — not arbitrary reduction, but finding the core and discarding what is not it.

How do I install S4h Aesthetic Simplicity Analysis in Claude Code?

Run `npx skills add human-avatar/skills-for-humanity --skill s4h-aesthetic-simplicity-analysis -a claude-code`. Or copy the skill folder (skills/s4h-aesthetic-simplicity-analysis in human-avatar/skills-for-humanity) into .claude/skills/s4h-aesthetic-simplicity-analysis in your project. Claude Code loads it when a task matches its description.

How do I install S4h Aesthetic Simplicity Analysis in Codex?

Run `npx skills add human-avatar/skills-for-humanity --skill s4h-aesthetic-simplicity-analysis -a codex`. Or copy the skill folder (skills/s4h-aesthetic-simplicity-analysis in human-avatar/skills-for-humanity) into .agents/skills/s4h-aesthetic-simplicity-analysis in your project. Codex loads it when a task matches its description.

Can I use S4h Aesthetic Simplicity Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add human-avatar/skills-for-humanity --skill s4h-aesthetic-simplicity-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/s4h-aesthetic-simplicity-analysis, .gemini/skills/s4h-aesthetic-simplicity-analysis, .github/skills/s4h-aesthetic-simplicity-analysis and .opencode/skills/s4h-aesthetic-simplicity-analysis in your project.

What does S4h Aesthetic Simplicity Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: S4h Aesthetic Simplicity Analysis is instructions for the agent only.

Does S4h Aesthetic Simplicity Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is S4h Aesthetic Simplicity Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does S4h Aesthetic Simplicity Analysis use?

S4h Aesthetic Simplicity Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does S4h Aesthetic Simplicity Analysis use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to S4h Aesthetic Simplicity Analysis?

Skills that share tags, products or a category with S4h Aesthetic Simplicity Analysis: Find Release (flutter/flutter, 180k stars), Fd Find (penpot/penpot, 61k stars), Matter (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars) and Matter Workspace (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains S4h Aesthetic Simplicity Analysis?

human-avatar (a GitHub organization) maintains it in human-avatar/skills-for-humanity, which has 231 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on July 15, 2026.

Source: human-avatar/skills-for-humanity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.