media-ingest

Ingest videos, audio, PDFs, books, screenshots, and GitHub repos into structured brain pages.

5|1|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/GYF0311/lorekit --skill media-ingest-gyf0311
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: media-ingest
Source: https://github.com/GYF0311/lorekit/tree/main/brain/skills/media-ingest
Command: npx skills add https://github.com/GYF0311/lorekit --skill media-ingest-gyf0311

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns scattered media sources like videos, PDFs, audio, books, screenshots, and repos into structured, cross-linked brain pages instead of one-off transcripts or summaries.

Core Features & Use Cases

  • Multi-format ingestion for video, audio, PDFs (with OCR when needed), books, screenshots (vision OCR), and GitHub repositories (README + key files).
  • Entity extraction with backlink propagation so every mentioned person and company gets its own brain page linkage and timeline updates.
  • Provenance-preserving filing that uploads raw sources for traceability and files synthesized outputs by primary subject rather than by media format.

Quick Start

Tell the AI to process this PDF into your brain and ensure people and companies are extracted and cross-linked.

Frequently Asked Questions about media-ingest

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

FAQPage Schema
How do I ingest video and audio transcripts into a knowledge base with entity extraction?

To ingest video and audio transcripts into a knowledge base, this process fetches content, extracts entities like people and companies, and creates cross-linked brain pages with full backlink propagation.

What's the best way to organize ingested PDFs and books by subject instead of file format?

Organizing ingested PDFs and books by subject involves using provenance-preserving filing templates that upload raw sources for traceability and file synthesized outputs by primary subject rather than media format.

Can I extract text from screenshots and PDFs using vision OCR for my knowledge base?

Yes, you can extract text from screenshots and PDFs using vision OCR capabilities, which fetches the content and transforms it into structured, analysis-rich brain pages.

How do I cross-link people and companies mentioned across multiple ingested media files?

Cross-linking people and companies mentioned in media files requires entity extraction with backlink propagation, ensuring every mentioned entity gets its own brain page linkage and timeline updates.

Does this media ingestion approach work with GitHub repos to extract README and key files?

Yes, this media ingestion approach works with GitHub repos by fetching the README and key files, then converting them into structured, cross-linked brain pages alongside other media formats.

Why do my media transcripts lack persistent structure and cross-links in my knowledge base?

Media transcripts lack persistent structure and cross-links because standard ingestion is slow and incomplete without applying entity extraction, subject-based filing templates, and complete backlink propagation to entity pages.