Leooooooow Video Thumbnail Generator
Turn video frames into usable thumbnail candidates.
Problem it solves
A strong preview image often determines whether a video gets clicked, watched, or even noticed. But teams usually grab random frames manually. This skill helps extract and evaluate better thumbnail candidates from the video itself.
Use when
- A social or product video needs a better cover image
- A team wants several frame options instead of one random grab
- A storefront, gallery, ad, or internal review asset needs a clearer preview
- The user wants a simple thumbnail workflow without full design work
Do not use when
- The user needs full graphic design for a polished thumbnail
- The source video is too low quality to produce usable stills
- The better answer is a custom static image, not a frame grab
Inputs
- Source video file
- Target platform or use case
- Preferred frame qualities: face, product, motion-free, readable text, bright frame, etc.
- Optional desired count of thumbnail candidates
Workflow
- Identify what makes a useful thumbnail for the target platform.
- Extract candidate frames from visually strong moments.
- Prefer frames with clarity, focus, and clean composition.
- Avoid blur-heavy, transition, or awkward-expression frames.
- Return a shortlist of thumbnail candidates with rationale.
Output
Return:
- Candidate thumbnail frames
- Why each is viable
- Best recommended option
- Risks if the video is weak for frame-based thumbnails
Quality bar
- Avoid motion blur, half-blinks, and awkward facial expressions
- Prefer clear product visibility or recognizable subject framing
- Match the thumbnail style to the platform use case
- Don’t oversell mediocre candidates as strong
Resource
See references/output-template.md.