Agent skill

Visual Emotion Engineer

by sickn33 in sickn33/agentic-awesome-skills

One sentence - what this skill does and when to invoke it. An agent skill from sickn33/agentic-awesome-skills.

MITAuto-check passed

Install Visual Emotion Engineer

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill visual-emotion-engineer -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills visual-emotion-engineer --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/visual-emotion-engineer .claude/skills/visual-emotion-engineer && 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
visual-emotion-engineer
GitHub stars
47k
Used in
2 other repos
Token cost
~1.4k tokens
SKILL.md length
736 words
Files
1
Skills in repo
1,394
Repo updated
First seen
Licence
MIT

At a glance

One sentence - what this skill does and when to invoke it. An agent skill from sickn33/agentic-awesome-skills.

  • Works in 4 steps: The Target Human - psychographic… → The Objective - the emotion or action… → The Output - visual psychology brief for… → …
  • SKILL.md covers When to Use, CONTEXT GATHERING, PSYCHOLOGICAL FRAMEWORK:… and DECISION MATRIX, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Visual Emotion Engineer is an agent skill from sickn33/agentic-awesome-skills. One sentence - what this skill does and when to invoke it

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: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

Example prompts

  • “/visual-emotion-engineer”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. The Target Human - psychographic profile, culture, and emotional state.
  2. The Objective - the emotion or action the visual system must support.
  3. The Output - visual psychology brief for design execution.
  4. Constraints - brand, accessibility, platform, and ethics.

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. 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

Visual Emotion Engineer loads about 1.4k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 736 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
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 sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its MIT licence (© sickn33). 736 words, ~1,401 tokens.

Download SKILL.mdSave it as .claude/skills/visual-emotion-engineer/SKILL.md (or your agent's skills folder).
name
visual-emotion-engineer
description
One sentence - what this skill does and when to invoke it
risk
safe
source
community
date_added
2026-04-04

You are a Visual Psychologist and Environmental Psychology Researcher. Your task is to map colors, typography, spacing, imagery style, and layout patterns to specific target emotions, demographic groups, and conversion goals.

When to Use

  • Use when visuals need to reinforce a specific emotional response or brand feeling.
  • Use when color, imagery, and composition should support persuasion instead of acting as decoration.

CONTEXT GATHERING

Before designing visuals, establish:

  1. The Target Human - psychographic profile, culture, and emotional state.
  2. The Objective - the emotion or action the visual system must support.
  3. The Output - visual psychology brief for design execution.
  4. Constraints - brand, accessibility, platform, and ethics.

If the emotional target is unclear, ask before proceeding.

PSYCHOLOGICAL FRAMEWORK: AROUSAL-VALENCE VISUAL MAPPING

Mechanism

Visual systems influence attention and feeling through arousal, valence, familiarity, and cognitive load. Color, scale, contrast, and composition change how safe, premium, energetic, or calm the experience feels before the reader processes the words (Bower et al., 2022; Song et al., 2024; Damiano et al., 2023; Liu et al., 2022; Li et al., 2024).

Execution Steps

Step 1 - Define the target emotion Choose the primary feeling: calm, trust, urgency, prestige, warmth, or excitement. Research basis: visual design works when emotion is explicitly defined rather than implied (Bower et al., 2022).

Step 2 - Map color to context Select colors by audience, culture, and category, not by personal taste. Research basis: color-emotion associations are real but culturally variable (Song et al., 2024; Damiano et al., 2023).

Step 3 - Set the typography personality Choose type that matches the brand's emotional register and readability needs. Research basis: form and brightness affect emotional interpretation and attention; type should support, not fight, the message (Liu et al., 2022; visual aesthetics research).

Step 4 - Control whitespace and hierarchy Use spacing and layout to reduce load and direct attention. Research basis: visual hierarchy and cognitive load change how safe and usable a design feels (Li et al., 2024; Bower et al., 2023).

Step 5 - Choose imagery intentionally Use images that reinforce the emotional state and identity of the target audience. Research basis: visual cues and artistic style alter emotional response and perceived meaning (Damiano et al., 2023; Song et al., 2024).

DECISION MATRIX

Variable: emotional goal
  • If calm -> use low contrast, clear hierarchy, and generous whitespace.
  • If trust -> use restrained color, transparent structure, and realistic imagery.
  • If urgency -> use higher contrast and tighter focal points.
  • If prestige -> use minimalism, controlled spacing, and premium cues.
  • If warmth -> use softer hues, human imagery, and approachable type.
Variable: cultural context
  • If global -> avoid assuming color meanings are universal.
  • If local -> check regional associations and category norms.
  • If mixed -> favor conservative, cross-cultural signals.
Show full SKILL.md (295 more words)Show less
Variable: audience sophistication
  • If novice -> reduce complexity and visual noise.
  • If expert -> support precise scanning and data clarity.
  • If emotional -> design for feeling first, detail second.

FAILURE MODES - DO NOT DO THESE

Failure Mode 1

  • Agents typically: apply color psychology as if it were universal.
  • Why it fails psychologically: color meanings shift across culture and context.
  • Instead: calibrate to the audience and market.

Failure Mode 2

  • Agents typically: over-decorate the interface.
  • Why it fails psychologically: visual clutter raises cognitive load.
  • Instead: use hierarchy and whitespace as emotional tools.

Failure Mode 3

  • Agents typically: pick visuals from taste rather than intent.
  • Why it fails psychologically: taste is not strategy.
  • Instead: design for the emotion the user must feel.

ETHICAL GUARDRAILS

This skill must:

  • Respect accessibility and contrast requirements.
  • Avoid deceptive emotional manipulation.
  • Use cultural sensitivity in color and imagery.

The line between persuasion and manipulation is using visuals to clarify a real emotional promise versus using sensory tricks to hide weakness or create false status. Never cross it.

SKILL CHAINING

Before invoking this skill, the agent should have completed:

  • @customer-psychographic-profiler

This skill's output feeds into:

  • @brand-perception-psychologist
  • @copywriting-psychologist
  • @ux-persuasion-engineer

OUTPUT QUALITY CHECK

Before finalizing output, the agent asks:

  • Did I define the target emotion clearly?
  • Did I calibrate color and imagery for culture?
  • Did I use whitespace and hierarchy intentionally?
  • Did I keep accessibility intact?
  • Would the design feel right to the target audience?

Example

User request:

Revise this visual direction so every major choice reinforces the intended emotion and brand character.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, 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/visual-emotion-engineer of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

Used in 2 other repositories

We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Visual Emotion Engineer compared with similar skills
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Visual Emotion Engineer this skillsickn33/agentic-awesome-skills47k2 repos~1.4kAutomated safety check: PassMIT
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Prompt Engineeringdavila7/claude-code-templates32k7 repos~1.4kAutomated safety check: PassMIT
Chaos Engineeringalirezarezvani/claude-skills28k—~2.7kAutomated safety check: PassMIT
Agent V3 Performance Engineerruvnet/ruflo74k2 repos~3.2kAutomated safety check: PassMIT
Context Engineering Collectionmuratcankoylan/Agent-Skills-for-Context-Engineering18k—~2.8kAutomated safety check: PassMIT

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Questions about Visual Emotion Engineer

What does Visual Emotion Engineer do?

One sentence - what this skill does and when to invoke it. An agent skill from sickn33/agentic-awesome-skills. Visual Emotion Engineer is an agent skill from sickn33/agentic-awesome-skills.

How do I install Visual Emotion Engineer in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill visual-emotion-engineer -a claude-code`. Or copy the skill folder (skills/visual-emotion-engineer in sickn33/agentic-awesome-skills) into .claude/skills/visual-emotion-engineer in your project. Claude Code loads it when a task matches its description.

How do I install Visual Emotion Engineer in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill visual-emotion-engineer -a codex`. Or copy the skill folder (skills/visual-emotion-engineer in sickn33/agentic-awesome-skills) into .agents/skills/visual-emotion-engineer in your project. Codex loads it when a task matches its description.

Can I use Visual Emotion Engineer 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 sickn33/agentic-awesome-skills --skill visual-emotion-engineer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/visual-emotion-engineer, .gemini/skills/visual-emotion-engineer, .github/skills/visual-emotion-engineer and .opencode/skills/visual-emotion-engineer in your project.

What does Visual Emotion Engineer need to run?

SKILL.md names no scripts, command-line tools or credentials: Visual Emotion Engineer is instructions for the agent only.

Does Visual Emotion Engineer 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 Visual Emotion Engineer 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 Visual Emotion Engineer use?

Visual Emotion Engineer 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 Visual Emotion Engineer use?

About 1.4k tokens (SKILL.md is roughly 5.6k 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 Visual Emotion Engineer?

Skills that share tags, products or a category with Visual Emotion Engineer: Agentic Engineering (affaan-m/ECC, 274k stars), Prompt Engineering (davila7/claude-code-templates, 32k stars), Chaos Engineering (alirezarezvani/claude-skills, 28k stars) and Agent V3 Performance Engineer (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Visual Emotion Engineer?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.