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Content Creation #image #video #writing #ai

youtube-thumbnail

Generate a branded YouTube thumbnail from a video title. Uses a reference photo of the creator, high-CTR thumbnail principles, and brand colours to produce a ready-to-generate image prompt for Gemini. Use this skill whenever the user says "thumbnail", "youtube thumbnail", "build me a thumbnail", or wants a video cover image before writing the script. The thumbnail-first workflow mirrors the graphic-first approach for LinkedIn: sells the video before anyone hears a word of the script.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name youtube-thumbnail description Generate a branded YouTube thumbnail from a video title. Uses a reference photo of the creator, high-CTR thumbnail principles, and brand colours to produce a ready-to-generate image prompt for Gemini. Use this skill whenever the user says "thumbnail", "youtube thumbnail", "build me a thumbnail", or wants a video cover image before writing the script. The thumbnail-first workflow mirrors the graphic-first approach for LinkedIn: sells the video before anyone hears a word of the script. YouTube Thumbnail CRITICAL: Auto-start on load When this skill triggers, go straight to Step 1. Step 1. Gather inputs Check the project for a reference photo config. Look in this order: thumbnail-config.md in the project root brand-kit.md — look for a reference image path and brand colours about-me.md — for the creator's name and positioning If a reference photo path is stored, pre-fill it. Otherwise ask: Upload or provide the path to the reference photo of yourself you want used in the thumbnail. Ideally a clear headshot with distinctive lighting and expression you plan to reuse across videos for brand consistency. Then call AskUserQuestion: [ { "question" : "What is the video title?" , "header" : "Title" , "multiSelect" : false , "options" : [ { "label" : "I will type the title" , "description" : "Type the full working title" } , { "label" : "Suggest one" , "description" : "Given the topic, propose 3 click-worthy titles first" } ] } , { "question" : "Emotional tone?" , "header" : "Tone" , "multiSelect" : false , "options" : [ { "label" : "Shock / surprise" , "description" : "Wide eyes, open mouth, bold reaction" } , { "label" : "Curious / thinking" , "description" : "Slight smirk, raised eyebrow, gaze off-frame" } , { "label" : "Confident / direct" , "description" : "Eye contact, calm, assertive" } , { "label" : "Frustrated / strong take" , "description" : "Intense gaze, hand gesture, tension" } ] } ] Step 2. Apply thumbnail best practices Every thumbnail must follow these rules: Face fills 30 to 50 percent of the frame. Readable at small sizes. 3 to 5 words maximum of large text. 6 if absolutely necessary. Two colours dominate . Brand primary + one high-contrast accent (yellow, red, cyan work well). One clear focal element besides the face. Tool logo, bold number, arrow, or prop. High contrast between face, text, and background. Test by squinting. Text is not a sentence . It is a hook phrase. Examples: "I fired my team", "Claude can now...", "Don't do this". No small text, no logos bottom-right (watch time icon sits there). Step 3. Build the thumbnail brief Output a concise brief the user can review: THUMBNAIL BRIEF: [video title] Composition: [face position, % of frame, direction of gaze] Text: "[hook phrase, 3-5 words]" Text placement: [left, right, top, wraps around face] Colour palette: [primary hex], [accent hex], [background hex] Supporting element: [logo / prop / arrow / number] Emotional tone: [tone from Step 1] Then ask: Here's the brief. Say "generate" to output the image prompt or tell me what to change. Step 4. Output the Gemini prompt Once approved, output the image generation prompt in a code block: Using the attached reference photo of me, generate a YouTube thumbnail at 1280 x 720 pixels (16:9). Composition: - Place me [left / right / centre] filling [30-50]% of the frame - My expression: [tone details — e.g., shocked with wide eyes and open mouth] - My gaze: [direction — e.g., looking directly at camera / looking off-frame toward the text] Text: - Display "[hook phrase]" in large bold sans-serif typography - Text colour: [hex] - Text outline: [colour, thickness for readability] - Text placement: [specific area] Colour palette: - Primary: [hex] - Accent: [hex] - Background: [hex] — [describe treatment: flat, gradient, blurred scene, etc.] Supporting element: [specific description of the supporting visual] Constraints: - Face must be clear and sharp - Text must be readable at 320px wide (YouTube mobile size) - No watermarks, no YouTube UI elements, no bottom-right corner text - High contrast between face, text, and background Tell the user: Paste this into a new Gemini chat, attach your reference photo, enable Create Image, and select Nano Banana. Generate at 1280x720. Step 5. Offer the next move Want me to outline the video next? Hook, mid, CTA from the thumbnail. Or call the create skill if you have one. Rules 1280x720 pixels (16:9). YouTube's native thumbnail size. Never include the reference photo path in the prompt itself — the user attaches the photo separately. Never allow more than 6 words of text, 5 is ideal, 3 is best. Face must always be a visible focal point. No face-hidden compositions. Never use em dashes. British English unless voice.md specifies otherwise. If brand-kit.md is in the project, read it and use exact brand colours. Recommend the user keep a consistent thumbnail style across videos for channel recognition.
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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