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process

Extract claims, sources, scholars, and terms from video transcripts into Maps of Content.

Updated Jan 31, 2026
Search Tags:#video processing#data synthesis#knowledge extraction#historical research#claim extraction#MOC generation
One-click install
npx skills add https://github.com/andrew-starosciak/knowledge-base --skill process-andrew-starosciak
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: process
Source: https://github.com/andrew-starosciak/knowledge-base/tree/main/.claude/skills/process
Command: npx skills add https://github.com/andrew-starosciak/knowledge-base --skill process-andrew-starosciak

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the comprehensive extraction of knowledge from video transcripts, transforming raw content into structured, actionable data for historical research and analysis.

Core Features & Use Cases

  • Automated Knowledge Extraction: Extracts claims, sources, scholars, visuals, terms, evidence, and quotes from video transcripts.
  • Structured Data Organization: Tags content with era and region, applies analytical frameworks (Cliodynamics, Causal Chains, etc.), and organizes information into Maps of Content (MOCs).
  • Use Case: Process a lecture on the Bronze Age collapse to automatically identify key claims about trade networks, cite scholars like Turchin, and link related concepts, building a structured knowledge base.

Quick Start

Process the video with ID 'x1E5rRmCiT4' to extract all knowledge.

Frequently Asked Questions about process

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

FAQPage Schema
How do I extract knowledge from video transcripts for historical research?▼

Automated knowledge extraction from video transcripts identifies claims, sources, scholars, and quotes, then organizes them into Maps of Content. It transforms raw lecture content into structured data for historical research and analysis.

What is the best way to organize extracted video claims by historical era and region?▼

Tagging extracted video claims with historical eras and geographic regions is automated during the knowledge extraction process. This structured data organization applies analytical frameworks to systematically categorize transcript findings.

Can I apply Cliodynamics and Causal Chains to video lecture content?▼

Applying Cliodynamics and Causal Chains to video lecture content is supported during the knowledge synthesis process. The extraction framework integrates these analytical models alongside Idea Transmission, World-Systems, and Braudel's Timescales to structure historical analysis.

Does video knowledge extraction work for generating research questions and cross-video patterns?▼

Video knowledge extraction facilitates generating research questions and detecting cross-video patterns. After synthesizing transcripts into structured Maps of Content, the extracted data supports identifying broader analytical connections across multiple processed videos.

What do I need to extract scholars, terms, and evidence from video transcripts?▼

Extracting scholars, terms, and evidence from video transcripts requires providing the video ID for processing. The automation handles comprehensive data extraction, pulling out quotes and sources to build a structured knowledge base without manual transcription.

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