learn-capture

Extract atomic facts from pasted text into SM-2 flashcards.

520|175|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/EvolutionAPI/evo-nexus --skill learn-capture
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learn-capture
Source: https://github.com/EvolutionAPI/evo-nexus/tree/main/.claude/skills/learn-capture
Command: npx skills add https://github.com/EvolutionAPI/evo-nexus --skill learn-capture

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Learn Capture feature helps users distill long text into compact, retrievable facts and turn them into spaced-repetition flashcards for long-term memory.

Core Features & Use Cases

  • Extract 1–5 atomic facts from pasted text
  • Save as SM-2 flashcards under workspace/learning/facts/
  • Supports specifying decks, sources, and automatic scheduling for review

Quick Start

Paste the text you want to remember and instruct the AI to capture it into flashcards.

Frequently Asked Questions about learn-capture

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

FAQPage Schema
How do I extract atomic facts from text to create spaced-repetition flashcards?

To extract atomic facts and create spaced-repetition flashcards, paste your notes or article text and the tool identifies 1–5 key facts, saving each as an SM-2 flashcard for long-term memory retention.

What is the SM-2 algorithm used for scheduling flashcard reviews?

The SM-2 algorithm is a spaced-repetition scheduling method that calculates review intervals. It uses frontmatter fields like next_review, interval, ease, reps, and lapses to determine when to show each flashcard again.

How do I turn pasted notes into SM-2 flashcards with automatic scheduling?

You can turn pasted notes into SM-2 flashcards by providing the text and an optional deck name. The tool extracts concise facts and writes files to your workspace with automatic review scheduling frontmatter.

Can I organize extracted flashcards into different decks from pasted text?

Yes, you can organize extracted flashcards into different decks. When pasting text, you can specify a deck name, which gets saved in the frontmatter of each generated flashcard file under your learning workspace.

What is the best way to capture facts from transcripts into a flashcard system?

The best way to capture facts from transcripts is to paste the transcript text for extraction. The tool distills the content into 1–5 atomic facts per paste and saves them as individual SM-2 flashcards with source tracking.