#94 · Primary category: Knowledge Base & RAG
nihaisha-nishi-tcm
An Agent Skill for Ni Haisha TCM course study, formula-pattern lookup, acupoint reference, and screenshot evidence indexing.
Project last updated:08/09/26
GitHub Stars
2.0K
Forks
437
Contributors
1
License
Other
Why we included this project
Students and practitioners working through Ni Haisha's Traditional Chinese Medicine lectures will find this a real study companion, not a passive transcript dump. The course material is packaged as an installable agent skill for Claude Code, Codex, and similar tools, so you can ask in plain language about symptoms, formulas, or acupoints and get answers that trace back to the specific lecture, page, or whiteboard screenshot. Safety boundaries are handled carefully: executable dosing and needling instructions are marked reference-only, and the teacher's own words stay separate from supplementary recommended books and external acupuncture safety references. Per-lecture review plans and a term index split by classic text make it easy to revisit a topic systematically. If you build domain-specific retrieval skills, the course-distillation method and the page-level evidence layer are worth studying as a template.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Understand-Anything
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
crawl4ai
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
docling
Get your documents ready for gen AI
anything-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience