Spaced repetition

Skill yugash007/edu-agent-skills/skills/productivity/spaced-repetition

Reusable educational skills for AI coding agents. Turn agents (Gemini CLI, Claude Code, Cursor, etc.) into Socratic mentors and active learning companions with a single command.

Install

npx -y skills add yugash007/edu-agent-skills --skill spaced-repetition

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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What its author says it does

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Use when scheduling and executing review sessions at scientifically-calibrated expanding intervals for long-term retention.

SKILL.md

3.3 KB, as published. Nobody here has run it

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.

Score	Label	Interval Rule	EF Change
0	Failed	Reset to 1 day	EF -= 0.2 (min 1.3)
1	Hard	Stay at current	EF -= 0.1
2	Good	Interval × EF	No change
3	Easy	Interval × EF × 1.3	EF += 0.1 (max 2.5)

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

Workflow

Detect Due Items — Check next_review ≤ today. Sort by overdue duration (most overdue first). Report count.
Scope Session — ≤10 due: review all. >10: prioritize by overdue + weak-area overlap, cap at 15. Report deferrals.
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.
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.
Update Schedule — Output updated schedule. Show items due in next 7 days. Warn about upcoming review spikes.
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.