Verified:GitHub

learn

Index lecture note PDFs into a YAML knowledge base of theorems and definitions.

Updated Feb 10, 2026

Search Tags:#lecture notes #knowledge base #pdf indexing #theorem extraction #definition extraction #continuous algorithms

Ready to run

npx skills add https://github.com/Surya-Sunkari/continuous-algorithms-solver --skill learn-surya-sunkari

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn
Source: https://github.com/Surya-Sunkari/continuous-algorithms-solver/tree/main/.claude/skills/learn
Command: npx skills add https://github.com/Surya-Sunkari/continuous-algorithms-solver --skill learn-surya-sunkari

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of indexing lecture notes from PDF documents into a structured, searchable knowledge base, making theorems, definitions, and lemmas easily accessible.

Core Features & Use Cases

Automated Indexing: Reads lecture note PDFs and extracts key mathematical concepts.
Structured Knowledge Base: Organizes extracted information into YAML files for persistent storage and retrieval.
Use Case: After a series of lectures on Continuous Algorithms, use this Skill to build a comprehensive reference of all defined theorems and lemmas, which can then be queried or used by other Skills.

Quick Start

Use the learn skill to index lecture notes from the 'assignment1' folder.

Frequently Asked Questions about learn

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

FAQPage Schema

How do I extract theorems and definitions from lecture note PDFs?▼

To index lecture note PDFs, place your documents into a specified assignment directory. The Skill reads the PDFs, extracts mathematical concepts, and organizes the information into YAML files for persistent storage and retrieval.

Can I index multiple PDFs without duplicating existing entries in my knowledge base?▼

Yes, when indexing multiple PDFs, the Skill handles existing indexed files to prevent duplication. It processes documents within a specified directory and skips previously indexed content to maintain a clean knowledge base.

What format does the extracted lecture notes knowledge base use?▼

The knowledge base uses YAML format for persistent storage and retrieval. This structured format allows the extracted definitions, theorems, and remarks to be easily queried or used by other downstream Skills.

Do I need PDF reading capabilities to extract definitions and theorems from lecture notes?▼

Yes, PDF reading and YAML structuring capabilities are required for knowledge management. The Skill relies on these prerequisites to parse lecture note PDFs and organize the extracted mathematical concepts into a persistent knowledge base.

What mathematical concepts can be indexed from continuous algorithms lecture notes?▼

When indexing continuous algorithms lecture notes, the Skill extracts definitions, theorems, lemmas, corollaries, propositions, and key remarks. This creates a comprehensive reference of all defined mathematical concepts.