AI thumbnail analysis and cover improvement
Turn an existing cover into a clearer publishing decision
Cover Improvement Preflight reviews an existing YouTube thumbnail, social media cover, article cover, or podcast cover for the visual hook, focal hierarchy, title fit, text-safe contrast, mobile readability, and crop resilience. The findings become targeted edit directions and two or three improved 2K PNG candidates to compare, with an optional benchmark of the titles and public counts already ranking for the same topic on YouTube, TikTok, Douyin, and REDnote. Cover Improvement Preflight works in Claude Code, Codex, Cursor, and other agents that run Skills.
Install Cover Improvement Preflight and tell me when I need to sign in: https://beatra.ai/skills/cover-performance-preflight/install.md
For agents:Install guideMarkdown version
Send it to WorkBuddy, Codex, Claude Code, or another agent to install. Sign in once the first time you use it.GitHub ↗Docs ↗
A practical preflight that turns observations into edit decisions
Review the real viewing context
Assess the visual hook, focal order, title relationship, small-screen readability, and likely crops for the intended surface.
Compare distinct directions
Turn the findings into two or three purposeful candidates instead of making unrelated cosmetic variations.
How it is made
See what the cover communicates at a glance
Review the visible hook, attention path, title relationship, text contrast, mobile readability, crop behavior, and brand-defining details.
Destination and audience · Visual hook and focal hierarchy · Title and text-safe contrast · Mobile and crop checks
Make the smallest useful changes easy to compare
Translate the review into a focused revision plan and two or three candidates with clearly different visual strategies.
Protected brand and content details · One primary improvement per direction · Consistent destination and canvas · Side-by-side review guidance
Cover reviews for video, social, editorial, and podcasts
YouTube and video thumbnails
Clarify the first-read subject, title-to-image fit, and mobile-scale contrast before publication or platform comparison.
Social and article covers
Check focal hierarchy, text-safe areas, and crop resilience across feed, card, and hero placements.
Podcast artwork
Protect recognizability at small sizes while improving title balance, contrast, and supporting detail.
Inputs and outputs
Input · Image — Existing cover or thumbnail
- Formats
- JPG, PNG, WEBP
- Specifications
- 1 image per request
Input · Text — Title and where the cover will run
Output · Text — Review with targeted edit directions
Output · Image — Improved cover candidates to compare
- Formats
- PNG
- Specifications
- 2–3 images per request; 2K
Output · Text — Benchmark of what already ranks for the same topic (optional)
| Input or output | Type | Formats | Specifications |
|---|---|---|---|
| Input | Image — Existing cover or thumbnail | JPG, PNG, WEBP | 1 image per request |
| Input | Text — Title and where the cover will run | — | — |
| Output | Text — Review with targeted edit directions | — | — |
| Output | Image — Improved cover candidates to compare | PNG | 2–3 images per request; 2K |
| Output | Text — Benchmark of what already ranks for the same topic (optional) | — | — |
Specifications last checked · Sources: Model catalog · Documentation · Terms of Service
Questions
How should I compare the cover candidates?
Compare the first-read subject, title relationship, small-screen contrast, crop behavior, and brand recognition under the same publishing context.
Which cover types can I review?
Use an existing YouTube thumbnail, social-media cover, article hero image, or podcast cover together with its title and destination.
What do I need to provide?
Provide the existing cover, its title or core message, the intended platform, audience, and any brand details that should remain. Add your YouTube channel URL if you want your own recent thumbnails compared.
Related Skills
