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learning-processor

Extracts structured learning data from educational documents and identifies relevant AI skills.

Updated Aug 27, 2026
Search Tags:#data extraction#knowledge management#learning#content processing#skill enhancement#AI training
One-click install
npx skills add https://github.com/Mticool/content-factory5 --skill learning-processor-mticool
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learning-processor
Source: https://github.com/Mticool/content-factory5/tree/main/openclaw-content-factory/skills/learning-processor
Command: npx skills add https://github.com/Mticool/content-factory5 --skill learning-processor-mticool

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the processing of educational materials like course transcripts and webinar recordings, extracting key information to improve AI knowledge bases and suggest new learning modules.

Core Features & Use Cases

  • Automated Topic Analysis: Identifies the main theme, type, and project relevance of learning content.
  • Knowledge Integration: Finds existing skills/agents or suggests creating new ones based on the material.
  • Structured Data Extraction: Extracts specific types of information like techniques, formulas, patterns, warnings, and core meanings.
  • Use Case: Upload a transcript from a sales training webinar. The Skill will identify it as a 'sales' topic, find relevant existing skills or agents, extract key sales techniques and patterns, and store them in the appropriate knowledge base, potentially suggesting a new 'sales-scripting' skill.

Quick Start

Process the learning material located at 'transcripts/sales-webinar.md'.

Frequently Asked Questions about learning-processor

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

FAQPage Schema
How do I extract structured knowledge from course transcripts and meeting recordings?▼

Automated topic analysis identifies the main theme, type, and project relevance of learning content, then extracts techniques, formulas, patterns, warnings, and core meanings from course transcripts and webinar recordings to enhance AI knowledge bases.

How can I automatically update my AI knowledge base from webinar content?▼

Knowledge integration finds existing skills or agents or suggests creating new ones based on the material, then updates references in the knowledge base with extracted techniques and patterns from webinar transcripts.

Can I use this to process meeting recordings and suggest new learning modules?▼

Yes, processing meeting recordings automatically determines their subject matter and extracts structured data, suggesting new skills based on extracted techniques, formulas, patterns, warnings, and meanings when relevant existing skills are not found.

What is the best way to identify relevant existing skills from educational materials?▼

The best way to identify relevant existing skills from educational materials is to process them for automated topic analysis, which determines subject matter and matches the content with current skills or agents to enhance AI knowledge bases.

Does this content processing tool require any external dependencies to extract techniques and formulas?▼

No external dependencies are required. The Skill operates independently to process educational materials, extract techniques and formulas, and update knowledge bases without needing additional libraries or frameworks.

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