video-understanding

Analyze video content to produce transcripts and concise summaries.

1|1|Updated Feb 4, 2026
One-click install
npx skills add https://github.com/brianlan/improved-ai-agent --skill video-understanding-brianlan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: video-understanding
Source: https://github.com/brianlan/improved-ai-agent/tree/main/skills/video-understanding
Command: npx skills add https://github.com/brianlan/improved-ai-agent --skill video-understanding-brianlan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill automates the extraction of spoken and visible text from videos, turning multimedia content into searchable transcripts and concise summaries for easier consumption and insight.

Core Features & Use Cases

  • ASR-driven transcripts: downloads videos from platforms like YouTube or Bilibili, converts speech to text with multi-layer fallback (LAN first, Bailian fallback).
  • OCR-enabled frame text: optionally extracts on-screen text from frames via OCR to supplement transcripts (e.g., slides, captions).
  • Summaries & structured results: generates concise summaries and combines transcripts with frame text for user-friendly results, ready for review or integration.

Quick Start

Run the full video-understanding workflow on a video URL to obtain a transcript and a concise summary.

Frequently Asked Questions about video-understanding

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

FAQPage Schema
How do I transcribe and summarize video content from YouTube or Bilibili?

Video transcription and summarization for platforms like YouTube and Bilibili is handled by downloading the media, applying ASR with multi-layer fallback, and generating concise summaries. It targets URLs to extract speech and produce structured text output.

Can I extract on-screen text from video frames using OCR?

Yes, OCR extraction is optionally applied to video frames to capture on-screen text like slides and captions. This OCR data supplements the ASR transcripts to provide a complete textual representation of the visual content.

What is the best way to convert local video files into searchable text?

Converting local video files into searchable text involves running an end-to-end orchestration of ASR and optional OCR extraction. This workflow processes local media alongside platform URLs, yielding combined transcripts and summaries.

Does ASR transcription work without an internet connection?

ASR transcription prioritizes a local LAN connection first, falling back to a cloud-based Bailian API if unavailable. This multi-layer fallback ensures robust speech-to-text conversion even if one method fails.

Do I need to install requests to run video transcription workflows?

Yes, the requests package is required as a dependency to execute the video transcription workflow. It supports the end-to-end orchestration including downloading videos and handling structured results.