JuneYaooo/nihaisha-tcm Python

Agent Skill of Ni Hai Xia's TCM curriculum materials: support course retrieval, dialectical acupuncture point identification, learning notes collation and board screenshot evidence index. | An Agent Skill for Ni Haisha TCM course study, formula-pattern lookup, acupoint reference, and screenshot evidence indexing.

🌐 倪海厦中医课程资料的 Agent Skill:支持课程检索、方证穴位辨析、学习笔记整理与板书截图证据索引。 | An Agent Skill for Ni Haisha TCM course study, formula-pattern lookup, acupoint reference, and screenshot evidence indexing.

⭐ 336Stars
🍴 75Forks
🐛 0Issues
🕐 2026-06-04Updated
acupunctureagent-skillsclaude-code-skillscodex-skillnihaishanihaixiashennongtcmtcmcptraditional-chinese-medicinetraditional-chinese-medicine-healthcare
Project Insight

Why It Is Worth Watching

From the project description, tags and public data, JuneYaooo/nihaisha-tcm is worth looking at first. It solves problems around the needs of cutting AI applications, agents or large model tool chains. Related tags include acupuncture, agent-skills, claude-code-skills, codex-skills, mainly using Python. The most direct information in the project description is: "Agent Skill of Ni Hai Xia's Chinese Medicine Course Materials: Support course retrieval, Fang Zheng's acupoint identification, learning notes collation and board screenshot evidence index. | An Agent Skill for Ni Haisha TCM course study, formul…". I will put it in the observation list not because of the Star number itself, but because of its intersection with the recent popularity: about 9 Stars were added in the recent day, recently updated on 2026-06-04, 336 Stars and 75 Fork brought about the accumulation of attention; the most recent code update was on 2026-06-04, this statistic added about 9 Stars relative to the historical benchmark. If it can continue to grow in the next few days, at the same time, Issue, PR, and submission records are also relatively active, indicating that it may not only be forwarded for a short time, but actually stepped on the recent needs of developers. It's better suited for AI products

📈 Trend History (2 points)