基于学习路径节点生成个性化学习内容。支持层级感知（L1/L2/L3不同深度）和上下文感知（同概念差异化）。每节点生成3000~5000字学习内容+3~5道随堂自测题。详细说明见 references/README.md

This skill appears coherent for generating learning units, but review the following before installing: - Input sensitivity: The skill reads the full knowledge_graph JSON and writes it (and intermediate files) to /tmp and output files. Do not pass proprietary or sensitive material unless you are comfortable with temporary files and live enrichment queries. - Network enrichment: The RAG module queries public services (Wikipedia, arXiv). If your data is confidential, disable or remove the RAG step to avoid sending search queries that include topic strings derived from your input. - Dependencies: The scripts use python packages (wikipediaapi, arxiv, pyyaml). Because there's no install spec, ensure your environment provides them or the skill will fail; review dependencies before running in a locked/air‑gapped environment. - TTS APIs: The README recommends external TTS providers (Baidu/讯飞/Azure). These require separate credentials and registration if you enable audio generation; the skill does not request or store those keys itself. If you need higher assurance, request the author to (1) add an option to disable external network calls, (2) avoid writing raw input to world‑readable temp paths, and (3) provide a dependency manifest or minimal install steps.