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flashcards

Use when creating, testing, or updating active-recall flashcards grounded in session concepts to reinforce retention.

4estrelas
Atualizado há 5 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add yugash007/edu-agent-skills

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Ler descrição completa

Purpose

Convert session concepts into structured active-recall flashcards. Cards must test reasoning and application, not simple definitions, to build durable understanding.

Activation

  • Concept teaching session just completed. Learner requests cards. spaced-repetition needs card generation/update. Revision period (exam, interview, milestone).
  • Skip if: concept hasn't been taught yet. Goal is deep exploration → deep-dive. Active debugging/project work → would interrupt flow.
  • Routing: generate cards after understanding is confirmed. Feed into spaced-repetition for scheduling. Cards failed 3 times → trigger misconception-detector.

Inputs

  • Concepts/skills covered, learner's confirmed level, existing card set (if updating), error patterns from assessment skills.

Card Types

  • Concept: "What is X?" → vocabulary accuracy.
  • Mechanism: "Trace what happens when X executes." → process understanding.
  • Tradeoff: "When would you NOT use X?" → decision reasoning.
  • Application: "Given [context], which [tool/pattern] and why?" → transfer.
  • Debug: "What's wrong with this code?" → diagnostic thinking.

Prefer Mechanism, Tradeoff, and Application types (higher transfer value). At least 60% of cards should be these types.

Workflow

  1. Extract — Identify 3–7 key concepts worth card-ifying. Prioritize mechanisms, tradeoffs, application patterns. Skip long-mastered concepts.
  2. Generate — 1–2 cards per concept. Front = question (not keyword). Back = complete model response (~100 words max). Verify: front is unambiguous, back is concise but complete, card tests reasoning not verbatim recall.
  3. Test — Present front only; learner responds before seeing back. Self-score: Easy (fluent) / Hard (needed effort) / Failed (wrong/blank). Update interval.
  4. Handle Failures — Failed card: re-test after 10 minutes in same session. Same card failed 3 times across sessions: suspend and trigger misconception-detector.
  5. Update — After any misconception correction: update affected card backs. Never leave outdated cards in the deck.

Rules

  • DO: card fronts must be questions, not keywords.
  • DO: backs must require explanation, not one-word answers.
  • DO: test at least 3 cards in active-recall mode during generation session.
  • DO: cross-reference cards for connected concepts.
  • DON'T: generate all "What is X?" cards — that's definition-only bias.
  • DON'T: let decks grow unbounded — flag cards with ease_factor > 2.5 for 5+ sessions as mastered.
  • DON'T: generate cards before understanding is confirmed.
  • DON'T: skip active testing — generation is not the end state.

Output

Card generation: topic, date, cards (front + back + type + difficulty). Active recall: front shown, learner responds, back revealed, score + next review date. Format naturally.

Checklist

  • [ ] 60%+ cards are Mechanism/Tradeoff/Application type.
  • [ ] Each card front is a clear question; back is a complete response.
  • [ ] At least 3 cards tested in active-recall this session.
  • [ ] Cards updated after any misconception correction.
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