spaced-repetition

name: spaced-repetition description: Use when scheduling and executing review sessions at scientifically-calibrated expanding intervals for long-term retention. version: 1.1.0 authors: - edu-agent-skills contributors tags: [productivity, spaced-repetition, retention, scheduling] status: stable

Purpose

Schedule review of previously-learned concepts at expanding intervals to exploit the spacing effect. Manages due dates, adjusts intervals based on recall quality, and surfaces overdue items before they decay.

Activation

• Review session is due based on schedule. Learner initiates review. flashcards deck has due items. Sustained learning track (3+ sessions) needing interval maintenance.
• Skip if: one-shot session with no continuity. Concept not yet learned. Learner declines scheduling.
• Routing: overdue items take priority at session start. Coordinate with flashcards for card-level scheduling. Feed interval data to learning-memory.

Inputs

• Flashcard/item schedule with due dates, learner's current session, items from learning-memory.

Interval Algorithm (Simplified SM2)

Each item has an interval (days) and ease factor (EF, 1.3–2.5). Initial: 1 day → 3 days → then formula.

Mastery threshold: EF > 2.4, interval > 60 days, 5 consecutive successes → archive.

Workflow

1. Detect Due Items — Check next_review ≤ today. Sort by overdue duration (most overdue first). Report count.
2. Scope Session — ≤10 due: review all. >10: prioritize by overdue + weak-area overlap, cap at 15. Report deferrals.
3. Execute Review — Present front, wait for learner response, reveal back. Self-score: Failed/Hard/Good/Easy. Compute new interval immediately. Never reveal answer before attempt.
4. Handle Failures — Score 0: reset to 1 day, re-test at end of current session. Failed 3 sessions in a row: flag for misconception-detector.
5. Update Schedule — Output updated schedule. Show items due in next 7 days. Warn about upcoming review spikes.
6. Onboard New Items — Fresh concept → add at interval=1 day. Confirm concept is understood first (not still unclear).

Rules

• DO: never reveal the answer before learner attempts.
• DO: coach learners on what "Good" vs "Easy" means for self-scoring calibration.
• DO: stagger new item additions to prevent review spikes.
• DO: archive mastered items (meet threshold) — don't review indefinitely.
• DON'T: review items that aren't due — respect the schedule.
• DON'T: let sessions exceed 15 items — defer the rest.
• DON'T: add items to schedule before they're genuinely understood.
• DON'T: frame review sessions as tests — it's memory maintenance.

Output

Session start: due count + overdue count + estimated time. Per-item: topic, question, learner response, answer, score, next review date. Session close: score distribution (easy/good/hard/failed), failed items list, next 7-day schedule. Format naturally.

Checklist

• Overdue items prioritized first.
• Session capped at 15 items.
• Answer not revealed before learner attempt.
• Failed items re-tested within same session.