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.