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Thumbnail Text Checker
Audit YouTube thumbnails for legibility, technical specs, and competitor differentiation.
$4.99
Thumbnail Text Checker
Example session with this skill installed
Audit my thumbnail hero_v1.jpg and compare it against the files in the competitors/ folder. Ensure the text is readable on mobile.
- Read your context and instructions
- Compiled the thumbnail text checker
- Generated the image
I have analyzed hero_v1.jpg against the technical requirements and compared it to your 3 competitor files. The thumbnail meets resolution standards but has a high risk of text occlusion in the bottom-right corner.
Thumbnail Audit Report: hero_v1.jpg
| Metric | Result | Status |
|---|---|---|
| Resolution | 1280 x 720 | PASS |
| Aspect Ratio | 16:9 | PASS |
| File Size | 840 KB | PASS |
| Contrast Ratio | 4.8:1 | WARNING: Low contrast on "Review" text |
| Mobile Legibility | 65% | POOR: Secondary text too small |
| Timestamp Safety | CRITICAL | The "2024" text will be hidden by the timestamp |
Visual Differentiation Analysis
- Your Palette: Primary #FFFFFF (White), Secondary #FF0000 (Red).
- Competitor Trend: 2/3 competitors use heavy Blue (#0000FF) backgrounds.
- Recommendation: Your red accents provide high contrast against the current market trend.
Next steps
- Move the "2024" text to the top-left or center-left to avoid the YouTube timestamp overlay.
- Increase the font size of the secondary text by at least 20% for mobile viewers.
- Run the
--makecommand to test a yellow (#FFFF00) text variant for higher contrast.
hero_v1.jpg
PNG · 1536×1024
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
About this skill
Thumbnails that look great on a desktop monitor often fail on a mobile feed. This skill evaluates your YouTube, podcast, or course cover art for technical compliance and visual impact before you upload.
What it does
- Technical validation checks for 1280x720 resolution, 16:9 aspect ratio, and the 2MB file size limit.
- Legibility simulation renders the image at mobile, sidebar, and TV scales to ensure text remains readable.
- Overlay protection detects if the bottom-right timestamp will obscure critical faces or text.
- Visual audit measures contrast, colorfulness, and text-to-image ratios to ensure high-click impact.
- Competitor analysis compares your file against others to identify color and brightness differentiation.
- Template rendering generates simple text-on-image thumbnails from raw frames.
How it works
- Run the audit command on a local image file to receive a full technical and visual report.
- Provide competitor images to generate a side-by-side comparison sheet for visual standout analysis.
- Use the generation command to overlay high-contrast text onto a specific frame using hex color codes.
Frameworks & tools
This skill utilizes Pillow for image processing and pytesseract for optional OCR text detection.
Why this beats prompting it yourself
Generic AI vision prompts often miss technical constraints like the YouTube timestamp location or exact aspect ratios. This tool uses deterministic scripts to measure pixels and contrast levels, providing objective data rather than subjective opinions.
Use cases
- Audit high-production YouTube thumbnails for mobile legibility.
- Check if text overlays will be blocked by UI elements.
- Compare a new design against the top 5 ranking videos for a specific keyword.
- Generate rapid A/B test variations with different text colors.
Known limitations
OCR features require Tesseract to be installed on the local system. Visual differentiation is limited to color and brightness metrics.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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