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BytesAgain β€Ί Skills β€Ί Quizlet
πŸ¦€ ClawHub

Quizlet

by @ivangdavila

Build high-yield Quizlet study sets, tune Learn and Test sessions, and improve weak cards with spaced repetition diagnostics.

Versionv1.0.0
Downloads525
Installs2
#crypto-defi#legal#education
TERMINAL
clawhub install quizlet

πŸ“– About This Skill

name: Quizlet slug: quizlet version: 1.0.0 homepage: https://clawic.com/skills/quizlet description: Build high-yield Quizlet study sets, tune Learn and Test sessions, and improve weak cards with spaced repetition diagnostics. changelog: Initial release with Quizlet set design, study mode tuning, and weak-card diagnostics workflows. metadata: {"clawdbot":{"emoji":"Q","requires":{"bins":[],"config":["~/quizlet/"]},"os":["darwin","linux","win32"],"configPaths":["~/quizlet/"]}}

Setup

On first use, read setup.md for activation boundaries and context capture priorities.

When to Use

Use this skill when the user is studying with Quizlet and needs better set design, mode selection, session planning, or recovery from weak retention.

Architecture

Memory lives in ~/quizlet/. See memory-template.md for structure and status fields.

~/quizlet/
|-- memory.md           # Status, activation boundaries, and learning context
|-- set-playbooks.md    # Reusable set patterns by subject and goal
|-- weak-cards.md       # Rewritten cards and recurring failure patterns
-- session-plans.md    # Time-boxed study plans and exam countdown strategy

Quick Reference

Use the smallest relevant file for faster and more accurate recommendations.

| Topic | File | |-------|------| | Setup process | setup.md | | Memory template | memory-template.md | | Building high-yield sets | set-design.md | | Choosing study modes | study-modes.md | | Diagnosing poor retention | diagnostics.md | | Import and cleanup workflows | imports.md |

Core Rules

1. Start from the Assessment Goal

  • Confirm course, exam date, and target outcome before proposing any card creation workflow.
  • If the goal is unclear, ask one short question before giving detailed steps.

    • 2. Keep Every Card Atomic and Testable

  • One prompt must test one fact, one concept, or one decision.
  • Rewrite multi-answer prompts immediately because they create false confidence.

    • 3. Match Study Mode to the Objective

  • Use Learn for early acquisition, Test for exam simulation, and Flashcards only for fast recall warmups.
  • If the user has little time, prioritize modes that expose weak recall instead of passive review.

    • 4. Convert Misses into Card Improvements

  • After every missed answer pattern, recommend a concrete rewrite to reduce ambiguity.
  • Track recurring misses in ~/quizlet/weak-cards.md to prevent repeating the same mistakes.

    • 5. Preserve Context and Terminology

  • Keep subject tags, source context, and domain-specific wording on each card set.
  • Avoid generic prompts that can apply to multiple domains without clear cues.

    • 6. Keep Advice Platform-Realistic

  • Recommend only workflows supported by Quizlet set editing, import format, and study modes.
  • If a requested feature is not native, offer a practical workaround instead of pretending it exists.

    • 7. Protect Data Boundaries

  • Store only study preferences and workflow notes in ~/quizlet/.
  • Never request login secrets, payment information, or unrelated personal data.

    • Common Traps

  • Writing definition lists instead of atomic prompts -> lower retention and weak transfer under exam pressure.
  • Spending all time in Flashcards mode -> recognition improves while recall under test conditions stays weak.
  • Keeping distractors obviously wrong -> test scores look high without real understanding.
  • Importing raw notes without cleanup -> duplicated or noisy cards increase review fatigue.
  • Ignoring missed-question patterns -> the same weak cards fail repeatedly.
  • Mixing unrelated topics in one set -> context switching reduces recall speed.

    • Data Storage

  • Local notes only in ~/quizlet/ for memory, weak-card logs, and reusable set patterns.
  • Keep stored data minimal: study goals, performance patterns, and approved workflows.
  • Do not store passwords, private identifiers, or unnecessary personal information.

    • Security & Privacy

    Data that leaves your machine:

  • None by default. This skill provides workflow guidance and local note structure only.

    • Data that stays local:

  • Study context and planning notes in ~/quizlet/.

    • This skill does NOT:

  • Log in to Quizlet automatically.
  • Scrape private user data from browser sessions.
  • Make undeclared network requests.
  • Store files outside ~/quizlet/ for memory.
  • Modify its own skill definition files.

    • Related Skills

    Install with     clawhub install if user confirms:
  • anki - Spaced repetition card design and retention tuning for Anki workflows.
  • flashcards - Core flashcard writing rules and question quality patterns.
  • quiz - Quiz construction and scoring logic for assessment scenarios.
  • study - Structured study planning and session management workflows.
  • exam - Exam-specific preparation, prioritization, and review strategy.

    • Feedback

  • If useful: clawhub star quizlet
  • Stay updated: clawhub sync`

    • ⚑ When to Use

    Use this skill when the user is studying with Quizlet and needs better set design, mode selection, session planning, or recovery from weak retention.

    βš™οΈ Configuration

    On first use, read setup.md for activation boundaries and context capture priorities.