Video Understanding Skill for Openclaw

A powerful AI skill for extracting metadata, summarizing content, and identifying key timestamps from global video platforms like YouTube and Bilibili.

jackeven02
v1.0.0
Feb 24, 2026
1
3.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install video-learn

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install video-learn using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Video Understanding Skill?

The Video Understanding skill is a specialized capability within the Openclaw Skills ecosystem that empowers AI agents to interpret and analyze video content through URLs. Instead of manually watching hours of footage, this skill allows an agent to parse metadata, descriptions, and durations to provide a structured overview of the video's core message.

By leveraging this skill, developers can create more intelligent workflows that bridge the gap between video media and text-based analysis. It is designed to work across multiple major platforms, including YouTube, Bilibili, Douyin, and Tencent Video, making it a versatile tool for researchers, content creators, and power users who need rapid insights from video sources.

Video Understanding Skill Use Cases

  • Summarizing long-form educational tutorials or lectures to save time.
  • Extracting key timestamps and chapter information for quick navigation.
  • Researching video trends by analyzing titles and descriptions across different platforms.
  • Automating the collection of video metadata for content curation or archival purposes.
  • Obtaining a high-level overview of news segments or product reviews without manual playback.

How Video Understanding Skill Works

  1. Platform Identification: The agent analyzes the provided URL to determine the source platform (e.g., YouTube, Bilibili, or Douyin).
  2. Metadata Fetching: The skill utilizes web fetching or dedicated APIs to retrieve the video title, description, duration, and author information.
  3. Content Extraction: Key points, chapters, and available subtitles are parsed from the retrieved data.
  4. Processing & Synthesis: The AI processes the raw data to identify the most important themes and takeaways.
  5. Output Generation: The skill returns a formatted summary in the user's language, including suggested viewing points and source details.

Video Understanding Skill Setup

To implement this skill within the Openclaw Skills framework, follow these configuration steps:

# Ensure your environment has access to web fetching tools
# If using Python-based agents, install the requests library
pip install requests

# Optional: Configure API keys for enhanced data retrieval
export YOUTUBE_DATA_API_KEY='your_api_key'
export BILIBILI_API_TOKEN='your_token'

Once configured, the agent will trigger the video-understanding capability whenever a video link is detected in the prompt.

Video Understanding Skill Data Schema & Taxonomy

The skill organizes video data into a structured format for easy consumption by the AI agent:

Attribute Description Data Type
platform The source hosting service (e.g., YouTube) String
video_id The unique identifier for the video String
metadata Includes title, description, and duration Object
content_summary AI-generated summary of the video topic Markdown
key_timestamps List of important time markers and labels Array
recommendations Suggested points of interest for the user String

Video Understanding Skill Advanced Features

  • Multi-platform compatibility covering both Western and Chinese video ecosystems.
  • Deep integration with third-party APIs like RapidAPI for stable data extraction.
  • Support for speech-to-text (STT) extensions to analyze audio content directly.
  • Automatic chapter detection to structure the summary based on video segments.
  • Seamless translation capabilities to summarize foreign language videos into the user's target language.

SKILL.md


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