Search Ni Haixia's TCM course lectures using plain-language questions inside an AI assistant.
Look up acupoints, herbal formulas, and clinical combinations across more than a dozen course modules.
Find the exact lecture screenshot backing an answer using the screenshot evidence index.
| juneyaooo/nihaixia | kanna12580/kk-knowledge-agent | legenddriftragemystic6648212/ph-content-download-2026 | |
|---|---|---|---|
| Stars | 72 | 72 | 72 |
| Language | Python | Python | Python |
| Setup difficulty | easy | moderate | easy |
| Complexity | 2/5 | 3/5 | 1/5 |
| Audience | general | developer | general |
Figures from each repo's GitHub metadata at analysis time.
Install via a provided shell script or by instructing a supported AI assistant to install from the GitHub URL.
This is a plugin, called an agent skill, that loads a large collection of study material from the Traditional Chinese Medicine courses taught by Ni Haixia, a widely studied practitioner in the Chinese-speaking TCM community. Once installed into a compatible AI assistant such as Claude Code or Codex, it lets you search that material using plain-language questions and get answers grounded in specific course content. The skill covers more than a dozen course modules, including lectures on classical texts such as the Shang Han Lun and Jin Gui Yao Lue, acupuncture courses, herbal medicine from the Shennong Bencao course, the Huang Di Nei Jing, and other subjects taught by Ni Haixia. You can ask about the distinguishing features of a herbal formula, look up acupoints and their clinical combinations, compare treatment patterns for different symptom presentations, or browse lesson-by-lesson review maps. Everyday symptom descriptions in plain language are converted into the clinical terminology the courses use before the search runs. A notable feature is a screenshot evidence index with around 2,986 entries linked to compressed images stored inside the repository. When the skill returns an answer, it can point to specific lecture screenshots showing the relevant content on a board or slide. A Python script is included for searching the screenshot index directly from the command line without going through an AI assistant. The skill includes an explicit safety boundary: it is scoped to course learning and TCM theory study, not personal medical diagnosis, prescriptions, or dosage advice. Installation can be done by cloning the repository and running a provided shell script, or by instructing a supported AI assistant to install it from the GitHub URL. The README is written in Chinese with an English translation available in a separate file.
An AI assistant skill that searches a large archive of Ni Haixia's Traditional Chinese Medicine course material, with screenshot citations, scoped to learning not diagnosis.
Mainly Python. The stack also includes Python.
The README does not state a license, so usage rights are unclear.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.