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chinese-learning-orchestrator

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LLM-first Mandarin teaching with a local engine.

Education & Research#llm#pedagogy#chinese#pronunciation#mandarin#hsk#local-engine
Authorjoshp123
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Teach Mandarin learning orchestration with an LLM-first pedagogy, backed by a ZFC/Unix-style local engine (xuezh). It stores learner facts, runs mechanical transforms, and produces bounded reports and audio artifacts for structured review, speaking practice, tone work, graded input, and HSK audits.

Core Features & Use Cases

  • LLM-first pedagogy for Mandarin instruction and guided practice.
  • Tool contracts and bounded context to ensure deterministic interactions via the xuezh engine.
  • Pronunciation feedback and audio workflow using the Azure pronunciation assessment pipeline.
  • Supports Review, Speaking, Storytelling, and HSK-style audits with structured logging.

Quick Start

Initiate a Mandarin lesson with the xuezh engine to start a pronunciation drill and HSK-style review.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: chinese-learning-orchestrator
Download link: https://github.com/joshp123/xuezh/archive/main.zip#chinese-learning-orchestrator

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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