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…
Skill by human-avatar
Chalk Labs
Need help deploying s4h-aesthetic-coherence-check?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/human-avatar-s4h-aesthetic-coherence-check
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/s4h-aesthetic-coherence-check
What's inside
- Skill name
s4h-aesthetic-coherence-check- Description
- 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'.
- License
- MIT
- Instructions
- 120 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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** | Part | What It Communicates | What It Prioritises | What It Assumes | |---|---|---|---| | [component] | [signal it sends] | [implicit value] | [audience/context assumption] | **Inconsistencies** | Inconsistency | What Conflicts | Why It Jars | Recommended 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
From human-avatar/skills-for-humanity, MIT.
More from human-avatar/skills-for-humanity
- 0.545score
s4h-cognition-metacognition
human-avatar
Applies thinking-about-thinking as a practical tool — monitoring comprehension, calibrating confidence, and knowing what you do not know.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-constraint
human-avatar
Entry point for the constraint toolkit.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h
human-avatar
Master orchestration skill.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-analogy
human-avatar
Entry point for the analogy toolkit.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-aesthetic-pattern-detection
human-avatar
Identifies the underlying formal pattern at work — because most successful designs, arguments, and solutions share deep structural patterns, and naming the…
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-communication
human-avatar
Entry point for the communication toolkit.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-aesthetic
human-avatar
Entry point for the aesthetic toolkit.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-cognition
human-avatar
Entry point for the cognition toolkit.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-cognition-attention
human-avatar
Maps the attention economy of a mind or situation — what captures it, what depletes it, and how to protect it.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-cognition-cognitive-load
human-avatar
Manages the limits of working memory — chunking, offloading, and reducing unnecessary complexity to free capacity for what matters.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-cognition-mental-models
human-avatar
Surfaces and audits the internal representations that drive perception and decision-making.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-creativity
human-avatar
Entry point for the creativity toolkit.
SkillCFreshness: C★ 235Claude Code +9
Signals
- Stars
- 235
- Forks
- 24
- Open issues
- 0
- Last commit (this folder)
- May 31, 2026 (5 months ago)
- Last release
- May 31, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from human-avatar
- 0.545score
s4h
human-avatar
Master orchestration skill.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-cognition
human-avatar
Entry point for the cognition toolkit.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-aesthetic
human-avatar
Entry point for the aesthetic toolkit.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-analogy
human-avatar
Entry point for the analogy toolkit.
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-aesthetic-pattern-detection
human-avatar
Identifies the underlying formal pattern at work — because most successful designs, arguments, and solutions share deep structural patterns, and naming the…
SkillCFreshness: C★ 235Claude Code +9 - 0.545score
s4h-cognition-attention
human-avatar
Maps the attention economy of a mind or situation — what captures it, what depletes it, and how to protect it.
SkillCFreshness: C★ 235Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get s4h-aesthetic-coherence-check running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
s4h-aesthetic-coherence-check skill. Agent Mart. https://agentmart.dev/skills/human-avatar-s4h-aesthetic-coherence-check (last updated 2026-10-24)