Youtube Thumbnail Design logo

Youtube Thumbnail Design

Organization
inference-sh
youtube-thumbnail-design

YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression psychology, and A/B testing. Use for: YouTube thumbnails, video cover images, click-through optimization. Triggers: youtube thumbnail, thumbnail design, video thumbnail, click through rate, ctr optimization, youtube cover, video cover image, thumbnail maker, thumbnail tips, youtube design, video preview image

Overview

Publisherinference-sh
Repositoryskills
Skill nameyoutube-thumbnail-design
Stars
790
Forks
106
Bundled files
Instructions only
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 inference-sh on GitHub. Read the source before you install it.

Installation

Install the Youtube Thumbnail Design 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/inference-sh/skills/tree/main/guides/design/youtube-thumbnail-design
  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/inference-sh/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/guides/design/youtube-thumbnail-design .claude/skills/youtube-thumbnail-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Youtube Thumbnail Design 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 Youtube Thumbnail Design 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 Youtube Thumbnail Design 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.

Install the belt CLI skill: npx skills add belt-sh/cli

YouTube Thumbnail Design

Create high-CTR YouTube thumbnails with AI image generation via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

bash
belt login

# Generate a thumbnail
belt app run falai/flux-dev-lora --input '{
  "prompt": "YouTube thumbnail style, close-up of a person with surprised excited expression looking at a glowing laptop screen, vibrant blue and orange color scheme, dramatic studio lighting, shallow depth of field, high contrast, cinematic",
  "width": 1280,
  "height": 720
}'

Specifications

SpecValue
Dimensions1280 x 720 px (minimum)
Recommended1920 x 1080 px
Aspect ratio16:9
Max file size2 MB
FormatsJPG, GIF, PNG

The 120px Test

Your thumbnail appears at roughly 120px wide on mobile — that's how most viewers first see it.

At 120px, viewers must be able to identify:

  1. The mood/emotion (from colors and expression)
  2. The general subject (from composition)
  3. The text (if any — only if large enough)

Test: view your thumbnail at 120px width. If it's a muddy blur, redesign.

Safe Zones

┌─────────────────────────────────────────────┐
│                                             │
│   ✅ SAFE FOR TEXT AND KEY ELEMENTS         │
│                                             │
│                                             │
│                                             │
│                                             │
│                                       ┌───┐ │
│                                       │ ⏱ │ │ ← Timestamp overlay
│                              ┌────────┴───┘ │    (bottom-right)
│   ┌────┐                     │  DURATION    │
│   │ CH │ Chapter marker      └──────────────│
└───┴────┴────────────────────────────────────┘
     ↑ Bottom-left: chapter/progress markers

Avoid placing critical elements in:

  • Bottom-right corner (video duration timestamp)
  • Bottom-left corner (chapter markers, progress bar)
  • Extreme edges (cropping varies by device)

Color Strategy

High-Contrast Pairs That Work

CombinationMoodBest For
Yellow + BlackUrgency, attentionTech, business, lists
Red + WhiteEnergy, excitementEntertainment, reactions
Blue + OrangeProfessional contrastEducation, tutorials
Green + WhiteGrowth, moneyFinance, success stories
Purple + YellowPremium, creativeDesign, art, creativity
White + DarkClean, minimalLuxury, minimalist channels

Color Rules

  • Background and text/subject should be complementary or high-contrast
  • Avoid same-temperature colors touching (red on orange = mud)
  • Use 3 colors maximum per thumbnail
  • Saturate more than real life — thumbnails compete with bright UI

Text on Thumbnails

When to Use Text

  • Lists/numbers: "7 Tips", "Top 10"
  • Strong opinions: "STOP Doing This"
  • Results: "$10K in 30 Days"
  • Comparisons: "vs" between two things

When NOT to Use Text

  • The video title already says it (redundant)
  • The emotion/visual tells the story
  • You can't make it large enough to read at 120px

Text Rules

RuleReason
Max 6 wordsReadability at thumbnail size
Min 60pt equivalentMust be legible at 120px width
Bold sans-serif fontThin fonts disappear at small sizes
Contrast stroke/shadowEnsures readability on any background
No small textIf it's not readable small, cut it

Face Expression Psychology

Thumbnails with faces get higher CTR than faceless thumbnails. Expression matters:

ExpressionCTR ImpactBest For
Surprise/shockHighestReaction, reveal, discovery content
CuriosityHighTutorial, how-to, tips
ExcitementHighUnboxing, reviews, announcements
Concern/worryMedium-highWarning, mistake, problem content
ConfidenceMediumExpert advice, authority content
NeutralLowestAvoid unless your brand is minimalist

Face Composition Rules

  • Face should fill 30-50% of the thumbnail
  • Eyes looking toward the text or subject (directs viewer attention)
  • Eyes looking at camera = connection. Eyes looking at object = curiosity.
  • Place face on one side (usually left), text or subject on the other
bash
# Generate a face-forward thumbnail
belt app run falai/flux-dev-lora --input '{
  "prompt": "close-up portrait of a man with genuinely surprised expression, mouth slightly open, raised eyebrows, looking at camera, left side of frame, vibrant teal background, dramatic rim lighting, YouTube thumbnail style, high contrast, cinematic",
  "width": 1280,
  "height": 720
}'

# Generate a face-looking-at-subject thumbnail
belt app run bytedance/seedream-4-5 --input '{
  "prompt": "person looking amazed at a glowing holographic chart showing upward growth, dramatic blue and green lighting, right side profile view, dark background, tech aesthetic, high energy",
  "size": "2K"
}'

Thumbnail Patterns by Content Type

Tutorial / How-To

bash
belt app run falai/flux-dev-lora --input '{
  "prompt": "overhead flat lay of organized workspace with laptop showing code editor, colorful sticky notes, coffee cup, clean bright background, professional setup, tutorial style composition, warm lighting",
  "width": 1280,
  "height": 720
}'

Before/After

bash
belt app run falai/flux-dev-lora --input '{
  "prompt": "split composition, left side dark and messy disorganized desk, right side bright clean organized minimalist workspace, dramatic contrast between chaos and order, clear dividing line in center, high contrast",
  "width": 1280,
  "height": 720
}'

Product Review / Comparison

bash
belt app run falai/flux-dev-lora --input '{
  "prompt": "two products facing each other with dramatic lighting and sparks between them, competition battle concept, dark background with colorful rim lighting, versus comparison style, high energy, product photography",
  "width": 1280,
  "height": 720
}'

Listicle / Number

bash
belt app run falai/flux-dev-lora --input '{
  "prompt": "dynamic arrangement of 7 different colorful objects floating in space against dark gradient background, each item distinct and clearly separated, energetic composition, vibrant saturated colors, studio lighting",
  "width": 1280,
  "height": 720
}'

A/B Testing

Test one variable at a time:

VariableTest A vs B
Face vs No faceSame composition, with/without person
ExpressionSurprise vs curiosity
Color schemeWarm vs cool palette
Text vs No textWith/without text overlay
BackgroundBright vs dark
CompositionLeft-facing vs right-facing subject
bash
# Generate variant A
belt app run falai/flux-dev-lora --input '{
  "prompt": "..., bright yellow background, ...",
  "width": 1280, "height": 720
}' --no-wait

# Generate variant B (same prompt, different background)
belt app run falai/flux-dev-lora --input '{
  "prompt": "..., dark navy background, ...",
  "width": 1280, "height": 720
}' --no-wait

Thumbnail Checklist

  • 1280x720 minimum (1920x1080 preferred)
  • Under 2MB file size
  • Passes the 120px squint test
  • No critical elements in bottom-right (timestamp) or bottom-left (chapter)
  • Max 3 colors, high contrast
  • Text (if any) is max 6 words, bold, with contrast stroke
  • Face expression matches content energy (if applicable)
  • Doesn't duplicate the video title
  • Stands out from surrounding thumbnails (check your niche)
  • Works on both light and dark YouTube backgrounds

Common Mistakes

MistakeProblemFix
Too much textUnreadable at thumbnail sizeMax 6 words or no text
Low contrastDisappears in the feedUse complementary colors
Cluttered compositionEye doesn't know where to lookOne focal point
Generic stock photo feelNo personality, gets skippedAuthentic expressions, unique angles
Tiny detailsLost at 120pxBold, simple shapes
Same style every videoViewer fatigueVary within brand guidelines
Misleading thumbnailKills trust, hurts retentionMatch the actual content

Related Skills

bash
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@image-upscaling
npx skills add inference-sh/skills@prompt-engineering

Browse all apps: belt app list

Frequently asked questions

What does the Youtube Thumbnail Design AI skill do?

YouTube thumbnail design with specific dimensions, contrast rules, and mobile preview optimization. Covers safe zones, text placement, face expression psychology, and A/B testing. Use for: YouTube thumbnails, video cover images, click-through optimization. Triggers: youtube thumbnail, thumbnail design, video thumbnail, click through rate, ctr optimization, youtube cover, video cover image, thumbnail maker, thumbnail tips, youtube design, video preview image

Why use Youtube Thumbnail Design on TypingMind?

Because you install it once and use it with any model. Youtube Thumbnail Design 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 Youtube Thumbnail Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/inference-sh/skills/tree/main/guides/design/youtube-thumbnail-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Youtube Thumbnail Design?

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 Youtube Thumbnail Design?

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

Is the Youtube Thumbnail Design AI skill free?

It is published on GitHub by inference-sh. Check the repository for licensing terms. 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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