Youtube Thumbnail logo

Youtube Thumbnail

Community
hassancs91
youtube-thumbnail

Dedicated YouTube thumbnail generator — interviews you for exactly the style elements you want (environment, text budget, extras, accent color), then renders high-contrast, vibrant, face-consistent thumbnails with Nano Banana Pro and verifies every frame before showing it. Use whenever you want to create, redo, or iterate thumbnail variants for a video — "make a thumbnail", "new version of B", "more realistic", "less text", "put the app on the screen", "another angle for the test". Renders into videos/<project>/packaging/thumbs/. Works standalone or as the render engine for Stage 5 of /packaging (which owns titles, bets, and descriptions).

Overview

Publisherhassancs91
Repositoryclaude-youtube-editor
Skill nameyoutube-thumbnail
Stars
345
Forks
126
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hassancs91 on GitHub. Read the source before you install it.

Installation

Install the Youtube Thumbnail 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/hassancs91/claude-youtube-editor/tree/main/.claude/skills/thumbnail
  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/hassancs91/claude-youtube-editor.git /tmp/claude-youtube-editor
mkdir -p .claude/skills
cp -r /tmp/claude-youtube-editor/.claude/skills/thumbnail .claude/skills/youtube-thumbnail
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Youtube Thumbnail 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 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 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.

YouTube Thumbnail Generator

Turns a thumbnail concept into rendered, verified frames — with the style built from an element menu you pick from, not a fixed template. One number matters: CTR.

Division of labor: /packaging decides what to bet on (one fixed title, 3 distinct thumbnail levers, honesty checks). This skill decides what the frame looks like and renders it. Run standalone for iteration ("give me a new B"), or let packaging Stage 5 delegate here. Both inherit two non-negotiables from packaging:

  • Honesty guardrail — the frame must promise only what the video keeps.
  • Loud-vs-calm — thumbnails are deliberately louder than brand.md. Never tone down to match the in-video brand.

The baseline look (always on, never asked about)

Every render, regardless of selections: high contrast (deep darks OR clean brights, never flat) · vibrant saturated color with one accent doing the work · clear focal hierarchy (headline → hero object → face, three steps max) · big high-energy positive face from the media/library/faces/ kit · premium, clickable finish — crisp edges, no clutter · every text element perfectly spelled and razor sharp.

These came from a real before/after CTR comparison (the "Image 13" guide, 2026-08): the flat, low-contrast, no-hierarchy frame lost to the bold high-contrast hierarchical one ~4.4x on views. The axes are always-on; the decorations below are strictly opt-in.

The element menu (opt-in — this is what you ask about)

Exact prompt language for every element lives in references/style-elements.md. Summary:

ElementWhat it isCost
single-hookONE text element, huge (word or number)the default; cleanest
tiered-headlinesmall white italic context line + huge green grunge power line+1 text block
stickertilted yellow badge, black caps, red underline, arrow to the hero+1; ≤2 short words or it garbles
checkstripslim bottom strip, 3 green-check benefits+3 micro-texts; busy fast
brush-tagbrush-stroke tag at strip end (e.g. WITH CLAUDE)+1
results-fanfan/burst of result cards from the hero (pure imagery, no lettering)busy-frame risk
glow-burstneon energy + particles radiating from the herocheap, usually worth it
real-logopass the actual logo file as a --ref so it renders faithfullyextra ref
real-app-screenpass a real UI screenshot as a --ref for the on-screen appextra ref; micro-text caveat

Environments (pick one): dark-studio (neon-on-black, dramatic) · real-office (candid DSLR look, anchored to the real room visible in the face refs) · bright-graphic (saturated studio composite, the classic loud style).

The flow

1 — Locate context

Project dir, existing packaging/thumbs/ (what letters/versions exist), the locked title if packaging ran (thumbnail text must never repeat it), face kit present (no kit → stop and ask, see media/library/faces/README.md), GEMINI_API_KEY in .env.

2 — The interview (the point of this skill)

Ask before generating — one AskUserQuestion round. Skip any axis the user already specified in their request; ask only what's still open.

  1. Environment — dark-studio / real-office / bright-graphic.
  2. Text budget — single-hook (recommended default) / headline-plus-one (tiered headline + at most ONE accent element) / full-kit (headline + sticker + checkstrip + tag — warn that it's the busy end; opt-in only).
  3. Extras (multi-select) — glow-burst, results-fan, real-logo, real-app-screen, a prop/object, none.
  4. Accent color — green (house default) / yellow / red / cyan.

Calibration note (real creator feedback, 2026-08): the default is MINIMAL text. The full-kit look was tried and rejected as "too much text"; high contrast + vibrant were explicitly kept. Never stack every element just because the guide contains them — each text block after the first must earn its slot.

3 — Confirm the words

Echo the exact hook text (and sticker/strip words if selected) before rendering. Check against the locked title: thumbnail text never repeats title words — the two combine into one message.

4 — Build the prompt

Assemble from references/style-elements.md blocks: labeled brief (Reference roles → Subject & Action → Composition & Hierarchy → Setting & Lighting → Text → Style), letter-by-letter spelling for every rendered word, positive framing with the one earned negation (sub-images carry no lettering/logos). Hardware rule: laptops/phones are "generic, plain dark bezel, no logos or lettering on the hardware" — otherwise you get a MacBook.

5 — Render

venv/Scripts/python tools/gen_thumbnail.py --prompt-file videos/<p>/packaging/thumbs/<X>.txt \
    --out videos/<p>/packaging/thumbs/<X>.png --jpg --seed <N>
  • Default refs = the whole face kit. Any explicit --ref replaces that default — when passing a logo or app screenshot, re-include the face ref explicitly, and name each image's role in the prompt ("Image 1 = identity, Image 2 = the app").
  • real-app-screen source: pull a frame from the project's baked preview with ffmpeg, crop to the window, save to media/projects/<p>/ (reusable, committed path) — never screenshot by hand if the beat already exists in the video.

6 — Verify (every render, before the user sees it)

Read the image back: hook spelled right + legible · face reads as the creator · one dominant focal element · bright/saturated/positive expression · hands sane (count fingers, no phantom limbs) · no stray lettering in sub-images · hardware unbranded · honesty (screen/props match the real product) · 16:9, JPG <2MB. Fix-and-rerender before surfacing; flag anything borderline honestly (e.g. micro-text garble in a real-app screen).

7 — Iterate

  • Letters are bets, numbers are dressings (A, A2, D3…): a new concept gets a new letter; a restyle/refinement of the same lever bumps the number. One A/B/C test slot per letter family.
  • Before overwriting <X>.txt/.png, preserve the old one as <X>-v1.*.
  • Hold --seed to iterate composition-stable; change seed to explore. Change one thing at a time.
  • Restitch the labeled contact sheet (thumbs/_ABC-set.jpg) after every accepted render so the set is always comparable at browse-wall scale.

Failure modes → fixes (learned on real renders)

SymptomFix
Sticker/badge word garbled≤2 short words per badge, letters spelled out (L-I-F-E-T-I-M-E); re-render
Checkstrip drops a checkmarkphrase as "each item a green circular checkmark immediately followed by…"
MacBook bezel / brand on hardware"generic slim laptop, plain dark bezel, no logos or lettering on the hardware"
Real app screen: micro-text garblesexpected — invisible at browse size; if it matters, blur-text reroll or perspective-warp the real screenshot in post
Face color cast (purple/green hand or skin)name the light: "warm skin tones preserved; the screen adds only a faint cool glow"
Clone/double renders a stranger"BOTH men in this image are this exact man" + give the double a distinct material (wireframe, hologram)
Office looks genericanchor it: describe the real room visible in the face ref (wall color, plant) and say "match the real office behind him in Image 1"
Word spelled right but flat/pastedgrunge texture + soft outer glow + hard drop shadow, restate "razor sharp"

Model ids, API details, template history: .claude/skills/packaging/references/thumbnail-generation.md. Worked examples (proven prompts): videos/video-1/packaging/thumbs/*.txt — A2 (bright-graphic

  • full kit + real logo), B (dark-studio outcome scene), C (dark-studio clone), D2 (real-office
  • full kit), D3 (real-office + single-hook + real-app-screen).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Youtube Thumbnail AI skill do?

Dedicated YouTube thumbnail generator — interviews you for exactly the style elements you want (environment, text budget, extras, accent color), then renders high-contrast, vibrant, face-consistent thumbnails with Nano Banana Pro and verifies every frame before showing it. Use whenever you want to create, redo, or iterate thumbnail variants for a video — "make a thumbnail", "new version of B", "more realistic", "less text", "put the app on the screen", "another angle for the test". Renders into videos/<project>/packaging/thumbs/. Works standalone or as the render engine for Stage 5 of /pack...

Why use Youtube Thumbnail on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hassancs91/claude-youtube-editor/tree/main/.claude/skills/thumbnail. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Youtube Thumbnail?

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?

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

Is the Youtube Thumbnail AI skill free?

Yes. It is published on GitHub by hassancs91 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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