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media-ingest

Ingest multi-format media into a structured knowledge base with entity extraction.

Updated Jun 10, 2026
Search Tags:#transcription#ingestion#knowledge-management#entity-extraction#media-analysis#brain-sync
One-click install
npx skills add https://github.com/starlink-awaken/omostation-gbrain --skill media-ingest-starlink-awaken
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: media-ingest
Source: https://github.com/starlink-awaken/omostation-gbrain/tree/main/skills/media-ingest
Command: npx skills add https://github.com/starlink-awaken/omostation-gbrain --skill media-ingest-starlink-awaken

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of fragmented information by automating the ingestion and analysis of diverse media formats into a unified, searchable knowledge base.

Core Features & Use Cases

  • Multi-Format Ingestion: Automatically processes YouTube videos, audio files, PDFs, books, and GitHub repositories.
  • Entity Extraction: Identifies and back-links people and companies mentioned across all media, ensuring deep connectivity.
  • Use Case: When you watch a technical video or read a book, this skill extracts key insights, creates a structured brain page, and links all mentioned entities to your existing knowledge graph.

Quick Start

Provide the URL or file path to the media you wish to ingest and ask the system to process it into your brain.

Frequently Asked Questions about media-ingest

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

FAQPage Schema
How do I build a knowledge base from YouTube videos and PDF files?▼

To build a knowledge base from YouTube videos and PDFs, you ingest multi-format media content into a centralized system. The process automatically transcribes audio, parses documents, and extracts entities to create a structured, searchable repository.

What is entity extraction and back-link propagation in media analysis?▼

Entity extraction in media analysis identifies people, companies, and concepts across diverse media files. Back-link propagation maintains a connected knowledge graph by linking these extracted entities to their original mentions, ensuring deep contextual connectivity.

Can I extract knowledge and insights from GitHub repositories?▼

Yes, you can extract knowledge from GitHub repositories by ingesting their code and documentation. The system parses repository content to generate high-quality summaries and timestamped highlights, integrating the technical information into your knowledge base.

Does media ingestion require transcription and OCR capabilities for audio files?▼

Yes, media ingestion requires transcription and OCR capabilities to process audio and video files accurately. These mechanisms convert spoken words and visual text into searchable data, enabling the extraction of key insights and timestamped highlights.

What's the best way to centralize fragmented technical video and book notes?▼

The best way to centralize fragmented notes is to automate the ingestion of technical videos and books into a unified knowledge base. This approach extracts key insights, creates structured brain pages, and automatically links all mentioned entities.

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