weread-year-in-review-video-template
Helps your agent create vertical reading report videos. Turns reading data into short, visually appealing videos.
What it does
This template creates a short vertical video (for mobile) summarizing your year of reading. It uses information like how many hours you read, which books you enjoyed, and your notes to create a visually engaging video.
When to use it
- ✓When you want to share your year-end reading summary on social media.
- ✓To create a personal dashboard with your reading statistics.
- ✓When making a recap of books you've read or learnings.
Example of what to ask your AI
“Create a year-in-review reading video for me.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You need to copy a template file and replace the example data with your own. The template already has a ready-made visual theme with reading elements like book pages and warm paper, and smooth animations.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add nexu-io/open-design --skill weread-year-in-review-video-templateOr download just the file:
curl -L https://raw.githubusercontent.com/nexu-io/open-design/main/skills/weread-year-in-review-video-template/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
WeRead Year in Review Video Template
Create a vertical HyperFrames composition for annual reading reports: WeRead, Goodreads, Readwise, Notion reading logs, book clubs, or personal learning recaps. The template turns reading time, active days, bookshelf assets, notes, keywords, and a reading persona into a shareable 9:16 video.
Resource Map
weread-year-in-review-video-template/
├── SKILL.md
├── assets/
│ └── template.html
├── references/
│ └── checklist.md
└── example.html
The rendered MP4 showcase used by example.html is hosted at
https://repo-assets.open-design.ai/resources/videos/skills/weread-year-in-review-video-template/default-showcase.mp4.
Workflow
- Copy
assets/template.htmltoindex.html. - Replace the default report data in the
REPORTobject:- owner/title
- reading hours and active days
- bookshelf and completion stats
- note composition
- interest keywords
- reading persona and share line
- Preserve the 12-scene timeline unless the user asks for a shorter cut.
- Keep the WeRead-inspired visual language:
- warm paper background
- ink-blue typography
- restrained WeRead green accents
- book pages, bookmarks, highlights, note cards, and shelf metaphors
- Motion should feel like flipping through a reading journal. Avoid techy slide transitions, bouncy UI effects, and dashboard-loading motion.
- Keep the composition deterministic:
- direct
data-start,data-duration, anddata-track-indexattributes - no unseeded randomness
- no infinite loops or
repeat: -1 - no dependency on scroll, hover, localStorage, or runtime class discovery
- direct
- Validate against
references/checklist.mdbefore emitting.
Output Contract
Emit one short orientation sentence, then a single HTML artifact:
<artifact identifier="weread-year-in-review-video-template" type="text/html" title="WeRead Year in Review Video Template">
<!doctype html>
<html>...</html>
</artifact>
FAQ
What is HyperFrames?
HyperFrames is a technology that allows creating animations and videos directly in the browser using HTML code.
Do I need to know how to code to use this?
No, you only need to replace the example data with yours. The template is already set up for use.
What format is the final video?
The final video is generated in MP4 format, which is ideal for sharing online.
Details
Original description by the author
WeRead-inspired HyperFrames video template for vertical annual reading reports, personal reading dashboards, book-note recaps, and shareable year-in-review stories. Use when users want a 9:16 HTML-to-MP4 reading report with warm paper texture, editorial Chinese typography, book-page metaphors, data highlights, and deterministic motion.
repo: nexu-io/open-design
Popularity
- GitHub stars
- 101k
- Ranking position
- #793
- License
- Apache-2.0
- Updated
- 10/16/2026
Comments
- …
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