concept-snap

Convert a topic into structured notes with spaced repetition algorithms.

Updated May 14, 2026
One-click install
npx skills add https://github.com/Haraprosad/concept-snap --skill concept-snap
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: concept-snap
Source: https://github.com/Haraprosad/concept-snap/tree/main/sync
Command: npx skills add https://github.com/Haraprosad/concept-snap --skill concept-snap

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Claude Code, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill turns any topic into a comprehensive, science-based learning artefact, enhancing memory retention and understanding.

Core Features & Use Cases

  • Deep Learning: Extracts and synthesizes in-depth information from sources like URLs and concepts.
  • Spaced Repetition: Utilizes spaced repetition algorithms to optimize learning efficiency.
  • Structured Notes: Organizes the extracted information into structured, easy-to-understand notes.
  • Use Case: Imagine you want to learn about a new scientific concept. Use this Skill to generate a detailed note that includes explanations, examples, and flashcards, helping you grasp the concept deeply.

Quick Start

Use the concept-snap skill to create a learning artefact for the topic 'quantum computing'.

Frequently Asked Questions about concept-snap

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

FAQPage Schema
How do I create structured notes with spaced repetition from a topic?

Creating structured notes with spaced repetition involves extracting source content from a topic, applying memory science algorithms, and organizing the information into science-backed learning artefacts for optimized retention.

What is the best way to turn a URL into a comprehensive learning artefact?

The best way to turn a URL into a learning artefact is to extract and synthesize the in-depth information, apply spaced repetition algorithms, and organize it into structured notes that include explanations and examples.

Do I need Claude Code to generate science-backed learning notes?

Yes, you need Claude Code to generate science-backed learning notes, as the Skill requires this specific environment to process source content extraction and apply spaced repetition algorithms.

Can I use spaced repetition algorithms to study complex scientific concepts?

Yes, you can use spaced repetition algorithms to study complex scientific concepts by converting the topic into a detailed note that includes explanations, examples, and flashcards for deep comprehension.

What are the limitations of using automated knowledge organization for memory retention?

A limitation of automated knowledge organization is that it requires a background in memory science to fully leverage the spaced repetition algorithms and structured notes generation for maximum learning efficiency.

How does a spaced repetition algorithm work when building structured notes?

A spaced repetition algorithm works by systematically scheduling the review of extracted source content, organizing the synthesized information into structured notes to optimize your long-term memory retention.