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learn-review

Automates SM-2 spaced-repetition review of due Markdown flashcards and logs graded events to review-log.jsonl.

520|175|Updated Apr 8, 2026
Search Tags:#spaced repetition#frontmatter parsing#study workflow#learning facts#SM-2 algorithm#JSONL logging
One-click install
npx skills add https://github.com/evolution-foundation/evo-nexus --skill learn-review-evolution-foundation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: learn-review
Source: https://github.com/evolution-foundation/evo-nexus/tree/main/.claude/skills/learn-review
Command: npx skills add https://github.com/evolution-foundation/evo-nexus --skill learn-review-evolution-foundation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you reliably study and retain knowledge by reviewing spaced-repetition facts exactly when they are due and updating scheduling parameters automatically.

Core Features & Use Cases

  • SM-2 spaced repetition updates: Applies the SM-2 algorithm to adjust interval, ease, reps, lapses, and next_review per fact.
  • Guided review loop: Prompts you with the retrieval question, then shows the answer and why it matters before collecting a grade (Again/Hard/Good/Easy).
  • Review logging: Records every grade event into review-log.jsonl for traceability and progress tracking.

Quick Start

Use /learn-review to review up to five facts that are due today, grade your recall, and update their next review schedule.

Frequently Asked Questions about learn-review

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

FAQPage Schema
How do I do spaced repetition review for Markdown flashcards?▼

Spaced repetition review for Markdown flashcards is automated by parsing frontmatter to find due facts, showing prompts, collecting grades, and updating SM-2 scheduling metadata like interval and ease in-place.

How does the SM-2 algorithm update flashcard scheduling?▼

The SM-2 algorithm updates flashcard scheduling by adjusting interval, ease, reps, and lapses fields based on your Again/Hard/Good/Easy grade, applying an ease floor of 1.3 to prevent intervals from shrinking too low.

Can I review due learning facts stored in Markdown files?▼

Yes, you can review due learning facts stored as Markdown files in workspace/learning/facts/, provided their frontmatter contains a next_review date less than or equal to today to trigger the review workflow.

How do I log spaced repetition grades for study tracking?▼

Spaced repetition grades are logged by appending a structured JSONL entry to review-log.jsonl for every graded fact, ensuring traceability and progress tracking across your daily studying workflow.

How many due facts can I review at once in a study session?▼

You can review up to five facts that are due today in a single study session, grading your recall for each prompt before the SM-2 algorithm updates their next review schedule.

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