Can I use this skill to extract audio or subtitles?

This specific skill focuses on metadata and video downloading. It is designed to work as a middle step between 'plan-video' and 'rip-video', the latter of which handles audio and subtitle extraction.

What file format does the skill use for task management?

The skill uses a standard todolist.md file to extract Video IDs, original URLs, and track the completion status of downloads.

Does this skill require external services to function?

Yes, it requires a pre-configured and running MCP 'parse-video' service to handle the underlying parsing and downloading logic.

How does the skill handle failed downloads or rate limits?

It provides error handling for service unavailability and rate limits, logging failures in a final report while skipping the update for that specific task in the todolist.

Video Metadata Parser & Downloader

Name: Video Metadata Parser & Downloader
Author: mojito-llm

bymojito-llm

Web Scraping & Data Collection

Automates video metadata extraction and media downloading by processing structured task lists through MCP services.

About

The Parse Video skill streamlines the process of harvesting video content and metadata from online URLs. By reading a structured todolist.md file, it interacts with specialized MCP services to retrieve comprehensive video information, download high-quality video files and covers, and organize them into specific directory structures. It maintains workflow integrity by updating task statuses in real-time and generating detailed reports, making it an essential tool for content curators and media automation pipelines that require programmatic access to video resources.

Key Features

Real-time task status tracking and markdown updates
0 GitHub stars
Automated processing of todolist.md task queues
Detailed execution reporting including success/failure metrics
Metadata extraction and structured JSON storage
Concurrent downloading of video files and cover images

Use Cases

Automating high-volume video archival workflows
Streamlining social media content curation and asset organization
Building structured datasets for media analysis and machine learning

About

Key Features

Real-time task status tracking and markdown updates
0 GitHub stars
Automated processing of todolist.md task queues
Detailed execution reporting including success/failure metrics
Metadata extraction and structured JSON storage
Concurrent downloading of video files and cover images

Use Cases

Automating high-volume video archival workflows
Streamlining social media content curation and asset organization
Building structured datasets for media analysis and machine learning