LaunchKit · 2026
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hsk-skill-github-backup

HSK Chinese learning system with spaced repetition mastery tracking, vocabulary analysis, and adaptive quiz.

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by @walbertus

Setup & Installation

openclaw skills install @walbertus/hsk-skill-github-backup

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install hsk-skill-github-backup

What This Skill Does

Tracks mastery of all 2,211 HSK 3.0 vocabulary words using an SM-2 spaced repetition algorithm. Scans conversation logs for Chinese vocabulary exposure, parses quiz performance logs, and generates adaptive quizzes based on your current learning state.

Spaced repetition tracking runs inside your OpenClaw workflow, so mastery updates automatically from conversation logs and quiz sessions without switching to a separate app.

When to use it

  • Reviewing words scheduled for spaced repetition practice today
  • Generating a quiz focused on a specific HSK level
  • Checking mastered vs unknown word counts across all six HSK levels
  • Scanning past conversation logs to identify which HSK words appeared
  • Processing a quiz log file to automatically update mastery scores

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Show me my mastery stats and quiz me on words due for review

AGENT
  1. 1Call hsk_get_mastery_stats to retrieve unknown/learning/mastered counts by HSK level
  2. 2Call hsk_get_due_words to fetch words overdue for review
  3. 3Call hsk_generate_quiz with difficulty set to 'review' to build a quiz from those words
  4. 4Present quiz questions and collect responses
  5. 5Call hsk_update_mastery_from_quiz to record results and update the mastery database
OUTPUT

Mastery summary showing counts per HSK level, followed by a 20-question review quiz with updated scores saved to hsk-mastery-db.json