Video Thumbnail Template logo

Video Thumbnail Template

Organization
imgly
video-thumbnail-template

Use when building a reusable thumbnail template and design guideline for a video channel (YouTube and other 16:9 video platforms) — from a channel link whose latest thumbnails set the style, from one or more example thumbnails or designs, or from scratch; or when making new thumbnails from such a template, one at a time or in a batch.

Overview

Publisherimgly
Repositorycodesign
Skill namevideo-thumbnail-template
Stars
43
Forks
1
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 imgly on GitHub. Read the source before you install it.

Installation

Install the Video Thumbnail Template 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/imgly/codesign/tree/main/plugins/codesign/skills/video-thumbnail-template
  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/imgly/codesign.git /tmp/codesign
mkdir -p .claude/skills
cp -r /tmp/codesign/plugins/codesign/skills/video-thumbnail-template .claude/skills/video-thumbnail-template
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video Thumbnail Template 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 Video Thumbnail Template 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 Video Thumbnail Template 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.

video-thumbnail-template

Turn a channel's thumbnail style into a design guideline (a brand kit) and a CoDesign template with named slots, then fill the template for each new video.

Builds on, without restating: the handbook loop, the brand skill's kit format, the layerize skill (Seedream decomposition), the models skill, the formats skill (youtube-thumbnail.md) and the judge gate.

Input

One of three, resolved with the intake contract (../handbook/intake.md):

  • Channel link — its latest 10 thumbnails set the style.
  • Example thumbnails or designs — one or more images, or design files (.imgly, .psd, …).
  • Nothing — start fresh; ask for the visual direction per the intake contract.

The format defaults to youtube-thumbnail (1280 × 720). Everything goes into one output folder (default ./<channel-or-topic>-thumbnails/): reference/, brand-kit/, the template and the thumbnails. References live in the CoDesign workspace, not on disk: reference/refs.md lists them. A thumbnail style is the channel's brand: never invent it when references exist.

1 — Collect references

Every reference comes in through import as a one-page design; nothing is downloaded or copied to disk. Take them one at a time, because the next import moves on to a new design: import it, preview() it and record its layout (step 2), then read the image's uri in a read-only edit (render: false) — the imported image is the page's fill, (await engine.design.getProps(page, ['fill'])).fill.image.imageFileURI. reference/refs.md lists, per reference, the video id or file name, the page size and that uri, which stays valid after you move on. A reference is never saved: if the next import refuses over unsaved edits, repeat it with discard: true.

Channel link. CoDesign cannot read web pages, so the video ids come from your host's built-in web-fetch tool — used only to read the channel's /videos page (e.g. https://www.youtube.com/@handle/videos); no shell, no downloads. That tab lists regular uploads only, newest first; the ids are in the page source as "videoId":"<11 chars>". Take the first 10 distinct ids. Without a web-fetch tool, or when the page cannot be read, ask the user for links to their latest videos and take the id from each (watch?v=<id>, youtu.be/<id>, /shorts/<id>). Then import({ source: { url: 'https://i.ytimg.com/vi/<id>/maxresdefault.jpg' } }) for each id — public URLs, no API key or login. A 404 means the video has no full-size thumbnail: import hqdefault.jpg instead, a 480 × 360 frame whose 16:9 picture sits between black bars.

Example thumbnails. import({ source: { path } }) each file the user named. A design file goes through import the same way — its layers show the structure directly.

Nothing. No references; go to step 3 with the direction the user chose.

2 — Analyse the layouts

Look at every reference yourself — its preview from step 1. For each one, record its layout — positions and sizes as fractions of the canvas, so they compare across images:

  • zones: where the host, the headline and the subject sit, and how much of the canvas each takes
  • headline: the words, line count, the role of each line (hook vs punch word), case, relative size, colour, stroke, shadow, closest Google Font
  • host: side, crop, expression, gaze, outline or glow
  • background: image or colour, mood, whether it repeats
  • devices: arrows, badges, frames, blur, emoji

Then compare the set: what repeats in most references is the system, what appears once is an option, and what changes from video to video becomes a slot. A set that splits into two or three distinct layouts gets one template per layout — name them and ask which to build if unsure.

3 — Design guideline (brand kit)

Write the guideline as a brand kit in the brand skill's format — brand-kit/tokens.json + brand-kit/BRAND.md. Read ../brand/reference/brandkit-spec.md for the shape and reference/authoring.md for the rules (screenshots are its source form D). Fill it from the analysis:

  • colorPrimitives / semanticColors — the colours sampled from the references (say they are sampled)
  • typography — the headline font(s), weights, case and the size ratio between the lines
  • layout / composition — the zones from step 2, as fractions of the canvas
  • safeArea — the platform's (the duration badge, bottom right, for YouTube)
  • imagery — host crop and treatment, background mood
  • device — the recurring devices
  • voice — headline formulas: words per line, the punch words in use
  • logo — the channel's mark if the thumbnails carry one; otherwise record it in $meta.gaps

Draft the avoid list from what the references never do and confirm it with the user, as authoring.md requires.

Starting fresh, the guideline comes first too: turn the chosen direction into the same kit, show the user its key choices (palette, fonts, layout) and confirm them before building.

4 — Layers and assets

When a reference supplies a host, subject or background worth reusing, split it with the layerize skill's Stage 1 (Seedream) and follow its rules, with the reference's uri from refs.md as the source image — it is already in the workspace. Keep the person, subject and residual background layers; drop the text layers — the headline is rebuilt as live text.

A user's host photo that is not cut out goes through background removal (models skill, bria-rmbg.md). A missing background can be generated from the kit's imagery mood, format: '16:9', with "no people, no text, no logos" in the prompt.

5 — Build the template

Build from the kit: one page at the format size, the zones from layout, back to front. Name the slots so they can be filled later:

namekindnotes
bggraphicfull-bleed image fill, Cover
hostgraphiccut-out, Contain, anchored to the edge it grows from
subjectgraphicoptional cut-out, Contain
line1textthe hook
line2textoptional punch word, text.case: 'Uppercase'
headlinegroupline1 + line2

Drop host when the style has no presenter; decoration from the style gets its own descriptive name. When a headline line is too long for its column, shrink it until it fits — never let it run to the edge or into the safe-area corner.

Test the template with a long punch word, a word with a capital diacritic (ÜBERNIMMT) and a thumbnail without the optional slots, then run the judge loop with the kit as the brief. The references are the style: tight headlines or a host bleeding off the canvas are not faults.

Export it with export({ format: 'imgly', outPath }) into the output folder and report the kit, the slots and any $meta.gaps.

6 — New thumbnails

For each thumbnail, start from the saved template — import({ source: { uri } }) with the uri its save returned — never chain one thumbnail onto the previous. Fill the slots, hide the empty ones, fit the headline, and export JPEG (export({ format: 'jpeg', blockId: <page>, outPath }); YouTube rejects uploads over 2 MB). Each import is a copy, so the template stays as it was; export({ format: 'imgly' }) a filled thumbnail only when the user wants it editable too. Look at every export and check it against the kit's avoid list.

For a batch, agree on a simple table with the user (e.g. a CSV with one row per video: headline lines and image files) and repeat the above per row. If they want to render outside the agent, write them a small @cesdk/node script that loads the exported .imgly, fills the same slots by name and exports each row; without a CE.SDK licence key it watermarks its output — say so.

Common mistakes

MistakeFix
Styling from one thumbnail of tenanalyse every reference; the system is what repeats
Building before the guideline existswrite and confirm the kit first — the template is built from it
New image fill comes out zoomed/croppedforceLoadResources([slot]), then resetCrop, then re-apply the mode
Moving line1/line2 while groupedpositions are relative to the group — ungroup, position, regroup
Typing capitals into line2keep the text as typed; the slot's text.case sets it
Sizing Seedream cut-outs by pixel sizeplace by bounding_box.absolute
A person placed with CoverContain, anchored to the bottom edge

Frequently asked questions

What does the Video Thumbnail Template AI skill do?

Use when building a reusable thumbnail template and design guideline for a video channel (YouTube and other 16:9 video platforms) — from a channel link whose latest thumbnails set the style, from one or more example thumbnails or designs, or from scratch; or when making new thumbnails from such a template, one at a time or in a batch.

Why use Video Thumbnail Template on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/imgly/codesign/tree/main/plugins/codesign/skills/video-thumbnail-template. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Video Thumbnail Template?

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 Video Thumbnail Template?

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

Is the Video Thumbnail Template AI skill free?

Yes. It is published on GitHub by imgly 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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