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S4h Aesthetic Coherence Check

Organization
human-avatar
s4h-aesthetic-coherence-check

Tests whether the parts of something form a unified whole — finding the jarring inconsistencies that accumulate when different contributors work without a shared vision. TRIGGERS: 'coherence check', 'does this feel unified', 'something feels off', 'inconsistent', 'check the whole', 'does this hang together'.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-aesthetic-coherence-check
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 Coherence Check 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-coherence-check
  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-coherence-check .claude/skills/s4h-aesthetic-coherence-check
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Aesthetic Coherence Check 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 Coherence Check 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 Coherence Check 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 Coherence Check

Incoherence is the default product of collaboration without a shared vision. Each part may be locally defensible — sensible in isolation, reasonable given what that contributor was optimising for — while the whole communicates nothing clearly. A perceptive reader or user feels this before they can name it. This skill makes the incoherence legible so it can be fixed.


Your Process

Step 1: State the Artefact and Its Intended Identity What is being examined — a product, document, strategy, brand, presentation, process? What identity or effect is it supposed to produce? "Should feel authoritative but approachable" or "Should communicate a single strategic bet" or "Should make a first-time user feel capable in under three minutes." The intended identity is the standard everything else will be measured against.

Framing check: Confirm the specific artefact and its intended identity before continuing. State what you've identified — the actual object being analyzed and the identity or effect it is supposed to produce — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the artefact and its intended identity]. 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: Examine Each Part Break the artefact into its major components. For each: what does it communicate? What does it prioritise implicitly — speed vs depth, confidence vs humility, complexity vs accessibility? What does it assume about the audience or context? Extract these qualities as observations, not evaluations.

Step 3: Compare Parts to Each Other Where do assumptions conflict across parts? A section written for technical readers next to one written for executives. A formal tone in one component, casual in another. A design that prioritises simplicity in navigation but complexity in content. Name the specific conflict, not just that something feels inconsistent.

Step 4: Compare Parts to the Whole Which parts are faithful to the intended identity? Which stray — and in what direction? Is the straying random (different contributors with different instincts) or directional (a competing version of what the thing should be is quietly winning in parts of it)?

Step 5: Identify the Most Jarring Inconsistencies Before narrowing: Show the complete set of inconsistencies identified across Steps 3 and 4 to the user first. Use AskUserQuestion:

  • Question: "I've identified [N] inconsistencies. Before I select the most damaging, are there any you'd flag as especially important, or any I've missed?"
  • Header: "Prioritise"
  • Options:
    • Proceed with your selection — the set looks right
    • Flag one — user will name a specific inconsistency to include
    • Add a missing one — user will describe it

Find 2-3 specific moments where the lack of coherence is most damaging — where a perceptive reader or user would feel something is wrong, even if they can't say why. Prioritise by impact on the intended identity.

Step 6: Recommended Adjustments For each jarring inconsistency: what specific change — to which part, in which direction — would bring it into alignment with the intended identity?


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
    • Incoherence only — Where the parts fail to form a whole, skip confirming what works
    • 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

Intended Identity: [what the artefact is supposed to be/feel/communicate]

Parts Assessed

PartWhat It CommunicatesWhat It PrioritisesWhat It Assumes
[component][signal it sends][implicit value][audience/context assumption]

Inconsistencies

InconsistencyWhat ConflictsWhy It JarsRecommended Adjustment
[name it precisely][the specific conflict][effect on the reader/user][what to change]

Overall Coherence Assessment: [unified / partially coherent / incoherent + rationale]


Notes

Coherence is not uniformity — contrast and tension can serve a unified vision. The question is whether every element is working toward the same intended identity, even if they take different forms to do it. The most common source of incoherence is not bad judgment but absent shared vision — people optimised locally for different things.


What's Next

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

  • Question: "Coherence checked. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-aesthetic-elegance-testing — Test the elegance of the coherent elements
    • /s4h-writing-restructure — Restructure incoherent elements
    • /s4h-logic-consistency-check — Check logical consistency alongside aesthetic coherence
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Aesthetic Coherence Check AI skill do?

Tests whether the parts of something form a unified whole — finding the jarring inconsistencies that accumulate when different contributors work without a shared vision. TRIGGERS: 'coherence check', 'does this feel unified', 'something feels off', 'inconsistent', 'check the whole', 'does this hang together'.

Why use S4h Aesthetic Coherence Check on TypingMind?

Because you install it once and use it with any model. S4h Aesthetic Coherence Check 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 Coherence Check 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-coherence-check. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Aesthetic Coherence Check?

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 Coherence Check?

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

Is the S4h Aesthetic Coherence Check 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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