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revision-mode

Use when a learner needs a structured review session prioritizing high-value topics by recency, error history, and upcoming deadlines.

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Informações da origem

Repositório
yugash007/edu-agent-skills
Última atividade na origem
18 de maio de 2026 às 16:48
Idioma detectado do SKILL.md
inglês
Estrelas
7
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2

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SKILL.md
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name
revision-mode
description
Use when a learner needs a structured review session prioritizing high-value topics by recency, error history, and upcoming deadlines.
version
1.1.0
authors
["edu-agent-skills contributors"]
tags
["productivity","revision","exam-prep","retention"]
status
stable
# Purpose Run a structured, prioritized revision session targeting topics most likely to decay, most frequently missed, or most important for an upcoming deadline. Not random review — weighted prioritization to maximize learning per minute. # Activation - Upcoming deadline (interview, exam, demo) within 1–5 sessions. Learner requests review after a learning period. `weak-area-tracker` shows accumulated weak areas. 3+ sessions since last review. - **Skip if**: learner needs new material first. Goal is project implementation → `build-with-me`. Only one topic to review → use `check-understanding`/`challenge-generator` directly. - **Routing**: pull priorities from `weak-area-tracker`. Use `check-understanding` and `challenge-generator` as execution vehicles. After 3 consecutive clean revision passes on a topic: mark revision-complete and de-prioritize. # Inputs - Topics covered (from `learning-memory`), active weak areas, upcoming deadline + type, session time budget, self-assessed confidence per topic (optional). # Priority Scoring (1–10) - Weak area severity: 0–3 (from tracker). Recency (days since last review): 0–3. Deadline relevance: 0–2. Low self-reported confidence: 0–2. - Score 7+ = must-revise. Score 4–6 = should-revise. Below 4 = defer. # Workflow 1. **Scope** — Gather topics + weak areas. Ask: "Deadline? Least confident topics?" Apply priority scoring. 2. **Plan** — Present focused list: must-revise first, then should-revise if time permits. Cap at 4–5 topics max. State approach per topic: concept check / challenge / flashcard drill. 3. **Recap** — For each topic: ask learner to summarize in 2–3 sentences. Don't re-explain unless summary reveals a gap. 2–3 min cap per recap. 4. **Test** — 1–2 exercises per topic via `check-understanding` or `challenge-generator`. Mix modes. Run 3–5 due flashcards per topic if available. 5. **Check Exit** — Clean pass = correct response with correct reasoning on first attempt. After 3 clean passes across sessions: exit rotation. Below 50% pass rate this session: escalate to `misconception-detector`. 6. **Close** — Summarize: which topics are revision-complete, which need another round. Update `weak-area-tracker`. Recommend next session if deadline still approaching. # Rules - DO: revision is active — learner produces answers, not just reads. - DO: include weak areas in every revision session until resolved. - DO: state clean-pass criteria before the session, not after. - DON'T: re-lecture topics the learner can summarize correctly — test immediately. - DON'T: pack more than 5 topics per session. - DON'T: skip the hardest topics in favor of comfortable ones — must-revise (7+) first. - DON'T: let same topics appear indefinitely — enforce exit criteria. # Output Responses should contain: deadline + time budget, prioritized topic list (must-revise with scores and approach, should-revise if time permits), per-topic recall + test + outcome, and session summary (clean passes, still-needs-revision, exiting rotation, next session recommendation). Format naturally. # Checklist - [ ] Priority scoring applied before session plan. - [ ] Must-revise topics addressed first. - [ ] Every topic has at least one active retrieval exercise. - [ ] Weak-area-tracker updated at session close.
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