Skill: peand-rover/ai-video-thumbnail-maker (version 1.0.0)

--- name: ai-video-thumbnail-maker version: "1.0.0" displayName: "AI Video Thumbnail Maker — Generate Click-Worthy Thumbnails from Any Video with AI" description: > Generate click-worthy thumbnails from any video with AI — extract the best frame, enhance faces, add bold text overlays, apply proven thumbnail compositions, and A/B test multiple designs. NemoVideo analyzes your video to find the most visually compelling frame, then enhances it with thumbnail best practices: face close-ups with enhanced expressions, bold contrasting text, clean backgrounds, bright saturated colors, and compositions proven to maximize click-through rates. Thumbnail maker AI, YouTube thumbnail generator, video thumbnail creator, auto thumbnail, click-worthy thumbnail, thumbnail design AI, best frame extractor, custom thumbnail maker. metadata: {"openclaw": {"emoji": "🖼️", "requires": {"env": [], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN"}} --- # AI Video Thumbnail Maker — The Image That Decides If Anyone Watches A thumbnail is the most important single image in video content. YouTube's own research confirms that thumbnails are the #1 factor in click-through rate — more than titles, more than descriptions, more than channel reputation. A video with great content and a mediocre thumbnail underperforms a video with good content and an excellent thumbnail. Every day, viewers make thousands of split-second decisions based on thumbnails: watch or scroll. The thumbnail has approximately 1.5 seconds to communicate: what the video is about, why the viewer should care, and whether the production quality is worth their time. Professional thumbnail designers charge $25-100 per thumbnail and YouTube's top creators invest heavily in thumbnail testing — MrBeast famously tests 20+ thumbnail variations per video. The principles of effective thumbnails are well established: large faces with clear expressions, bold contrasting text (3-5 words maximum), bright saturated colors, clean uncluttered compositions, and visual curiosity gaps. NemoVideo applies these principles automatically. Upload a video (or describe a thumbnail concept) and the AI: identifies the best frame, enhances the subject, applies text overlays with proven compositions, and generates multiple variations for A/B testing. ## Use Cases 1. **Auto-Extract Best Frame — Smart Frame Selection (any video)** — A creator uploaded a 20-minute video and needs a thumbnail. NemoVideo: analyzes every frame for: facial expression clarity (open eyes, clear emotion), visual composition (rule of thirds, subject prominence), color vibrancy (bright, saturated scenes), motion blur absence (sharp focus), and uniqueness (frames that represent the video's most interesting moment). Selects the top 5 frames, enhances each for thumbnail use (face brightening, background simplification, color boost), and presents options. The best possible thumbnail from the actual content. 2. **Text Overlay Thumbnail — Bold Title Design (any concept)** — A tutorial video needs a thumbnail with text: "5 Mistakes Killing Your Videos." NemoVideo: selects or generates a background (from the video or AI-generated), positions the text in the highest-impact zone (usually upper-left or center), applies bold sans-serif font with contrasting outline (readable at any size), sizes the text to fill 30-40% of the thumbnail (the sweet spot for readability at small sizes), and color-coordinates text with the background for maximum contrast. A thumbnail that communicates the video's value proposition in a glance. 3. **Face Enhancement — Expression Maximization (any talking-head video)** — A talking-head creator's best content moments have great audio but their face is small in the frame or their expression is neutral. NemoVideo: crops tighter on the face (close-up creates intimacy and impact), enhances the expression (brightens eyes, increases contrast on facial features — subtle, not uncanny), adds a clean background (removing distracting elements), and optionally adds reaction elements (emojis, arrows, text) to amplify the emotional context. The face-forward thumbnail style that dominates YouTube. 4. **A/B Testing Set — Multiple Variations (any video)** — A creator wants to test which thumbnail concept performs best. NemoVideo generates 4-6 variations of the same video's thumbnail: different frames, different text, different color schemes, different compositions. The creator uploads all to YouTube's A/B testing feature (or uses third-party thumbnail testers) and data determines the winner. Thumbnail optimization through testing rather than guessing. 5. **Batch Thumbnails — Consistent Series Branding (multiple videos)** — A creator publishes a 12-episode series and needs thumbnails that are individually compelling but visually consistent as a series. NemoVideo: applies a consistent visual template (same font, same color scheme, same layout structure), varies the episode-specific elements (different face expression, different episode number, different subtitle), and produces 12 thumbnails that look cohesive when viewed as a playlist grid. Series branding that communicates "this is a set" at a glance. ## How It Works ### Step 1 — Upload Video or Describe Concept Upload the video for auto frame extraction, or describe the thumbnail concept for AI generation. ### Step 2 — Choose Thumbnail Style Auto-extract (AI picks best frame), text overlay, face close-up, composite (face + background + text), or A/B test set. ### Step 3 — Generate ```bash curl -X POST https://mega-api-prod.nemovideo.ai/api/v1/generate \ -H "Authorization: Bearer $NEMO_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "skill": "ai-video-thumbnail-maker", "prompt": "Create a YouTube thumbnail for a video titled 5 Camera Settings You Are Using Wrong. Style: face close-up of a frustrated person with hands on head, bright red and yellow color scheme, bold white text with black outline saying 5 MISTAKES positioned in the upper-left, a red X emoji overlaid on a camera in the lower-right corner. High contrast, saturated colors, readable at 320x180 pixel size (mobile thumbnail size). Generate 3 variations: different expressions, different text positions, different color emphasis.", "style": "face-closeup-with-text", "text": "5 MISTAKES", "text_position": "upper-left", "colors": {"primary": "#FF0000", "secondary": "#FFD700", "text": "#FFFFFF"}, "variations": 3, "resolution": "1280x720" }' ``` ### Step 4 — Select or Test Choose the strongest variation, or upload multiple to A/B test. Review at mobile thumbnail size (320x180) to verify readability. ## Parameters | Parameter | Type | Required | Description | |-----------|------|:--------:|-------------| | `prompt` | string | ✅ | Thumbnail description | | `style` | string | | "auto-extract", "text-overlay", "face-closeup", "composite", "ab-test" | | `text` | string | | Overlay text (3-5 words recommended) | | `text_position` | string | | "upper-left", "center", "lower-right", "custom" | | `colors` | object | | {primary, secondary, text, outline} | | `face_enhance` | boolean | | Brighten and enhance facial features | | `variations` | int | | Number of A/B test variations (2-6) | | `series` | object | | {name, episode_number, template} for series consistency | | `resolution` | string | | "1280x720" (YouTube standard) | | `frame_source` | string | | "auto" (AI picks), "timestamp" (specify), "upload" | ## Output Example ```json { "job_id": "avthumb-20260328-001", "status": "completed", "variations": [ {"file": "thumbnail-v1.png", "composition": "face-left, text-upper-right", "colors": "red dominant"}, {"file": "thumbnail-v2.png", "composition": "face-center, text-below", "colors": "yellow dominant"}, {"file": "thumbnail-v3.png", "composition": "face-right, text-upper-left", "colors": "high contrast red+white"} ], "resolution": "1280x720", "mobile_preview": "320x180 readability verified" } ``` ## Tips 1. **Test at 320x180 pixels — that is the actual viewing size** — Thumbnails are designed at 1280x720 but viewed at 320x180 (mobile) or even smaller (sidebar suggestions). If the text is unreadable and the expression unclear at thumbnail size, the full-resolution beauty is irrelevant. 2. **Faces with clear expressions outperform every other thumbnail type** — Human brains process faces before anything else. A large face with a clear emotion (surprise, excitement, frustration, curiosity) consistently produces the highest click-through rates across all content categories. 3. **3-5 words maximum for thumbnail text** — At thumbnail viewing size, more than 5 words become unreadable. The text should be a hook, not a sentence: "5 MISTAKES", "NEVER DO THIS", "GAME CHANGER". The title provides detail; the thumbnail provides intrigue. 4. **Bright saturated colors win in the YouTube feed** — The YouTube interface is white/dark gray. Thumbnails with bright reds, yellows, and oranges pop against this background. Muted, desaturated thumbnails disappear in the feed regardless of their artistic merit. 5. **A/B testing removes guesswork** — Even experienced creators guess wrong about which thumbnail performs best. Testing 3-4 variations and letting data decide consistently outperforms single-thumbnail publishing. Always generate variations. ## Output Formats | Format | Resolution | Use Case | |--------|-----------|----------| | PNG | 1280x720 | YouTube (standard) | | PNG | 1920x1080 | High-res / website | | JPG | 1280x720 | Smaller file size | | WebP | 1280x720 | Web-optimized | ## Related Skills - [ai-video-intro-maker](/skills/ai-video-intro-maker) — Video intros - [ai-video-outro-maker](/skills/ai-video-outro-maker) — Video outros - [ai-video-highlight-maker](/skills/ai-video-highlight-maker) — Highlight reels


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)