video-wrapper

Analyze interview subtitles to propose visual effects and render finished videos.

329|33|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/op7418/Video-Wrapper-Skills --skill video-wrapper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-wrapper
Source: https://github.com/op7418/Video-Wrapper-Skills/tree/main
Command: npx skills add https://github.com/op7418/Video-Wrapper-Skills --skill video-wrapper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the tedious work of turning interview subtitles into a polished, visually engaging video by automatically analyzing transcripts and proposing design-driven effects for approval before rendering.

Core Features & Use Cases

  • AI analysis of subtitles to suggest components such as lower thirds, chapter titles, fancy text, term cards, quotes, data animations, bullet lists, and social bars.
  • Supports four visual themes (Notion, Cyberpunk, Apple, Aurora) to match branding and mood.
  • Workflow: analyze subtitles, present a Markdown-style proposal for user approval, then render the final video via a browser-based (Playwright) or PIL renderer.
  • Renders with two backends (Browser for high-quality output, PIL for fast fallback) and composes per-component frames into a final video with MoviePy.

Quick Start

Run the CLI with a video file and its subtitles to generate a configured, stylized output video.

Frequently Asked Questions about video-wrapper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn interview subtitles into a stylized video automatically?

You can automate interview video rendering by processing subtitles to extract topics, quotes, and guest info, generating a JSON config for visual components, and compositing frames into a final video using Playwright or MoviePy.

Can I render subtitle-based videos using a browser backend?

Yes, you can render subtitle-based videos using a browser backend. It supports Playwright for high-quality output and offers PIL as a fast fallback renderer for composing per-component frames into the final video.

What visual themes are available for automated interview video rendering?

The rendering process supports four visual themes: Notion, Cyberpunk, Apple, and Aurora. These themes apply consistent styling across eight component templates like lower thirds, chapter titles, and data animations.

Does the video rendering workflow require manual approval before generating effects?

Yes, the video rendering workflow requires manual approval. It analyzes subtitles and presents a Markdown-style proposal of suggested components and effects for your review before rendering the final video output.

What subtitle formats and dependencies are needed for automated interview video generation?

Automated interview video generation requires subtitle files like SRT processed via PySrt, and depends on Playwright, MoviePy, and Pillow to analyze transcripts and compose the final stylized video frames.