Ingest videos, audio, PDFs, and GitHub repositories into a structured knowledge graph.
npx skills add https://github.com/Ninatuzi/gbrain --skill media-ingest-ninatuzi
Please help me install this Agent Skill. Skill: media-ingest Source: https://github.com/Ninatuzi/gbrain/tree/main/skills/media-ingest Command: npx skills add https://github.com/Ninatuzi/gbrain --skill media-ingest-ninatuzi
This skill solves the problem of fragmented information by automatically ingesting, transcribing, and linking content from videos, audio, PDFs, and GitHub repositories into a structured knowledge graph.
Use the media-ingest skill to process the YouTube video at the provided URL and add it to my brain.
High-intent search queries and answers about installing and using this skill.
To ingest media into a knowledge graph, you can process YouTube videos and audio files by automatically transcribing the content and extracting entities to create structured, back-linked information nodes. This centralizes fragmented media into a searchable format.
Automated entity extraction from media content is the process of identifying people and companies mentioned in audio, video, or PDFs, then generating back-linked pages for them to ensure comprehensive information management and cross-referencing within your knowledge base.
Yes, you can process GitHub repositories and PDFs together for media analysis. The ingestion system supports multi-format inputs, allowing you to extract summaries and key entities from diverse sources and link them to existing pages.
Yes, you need external transcription services and OCR tools to ingest audio and video. The system requires integration with these external tools to convert media formats into text for entity extraction and knowledge graph filing.
The best way to cross-reference transcribed podcasts with existing notes is through backlink propagation. By ingesting the podcast, the system automatically extracts entities and links the generated summaries to your internal brain filing system.
beyonaiIngest videos, audio, PDFs, and GitHub repositories into a structured knowledge base.
SigmacodeatConvert media content into structured knowledge pages with entities and relationships.
yunusgungorCreates and updates Webseite pages with citations, timelines, and bidirectional links from ingested data.
starlink-awakenIngest multi-format media into a structured knowledge base with entity extraction.
