nihaisha-nishi-tcm
Provides structured access to Traditional Chinese Medicine educational content with organized formula-pattern-acupoint relationships, reducing study friction…
An Agent Skill for Ni Haisha TCM course study: course material retrieval, formula-pattern and acupoint reference, study-note organization, and screenshot evidence indexing.
- Ask Claude to retrieve specific TCM formulas and their clinical applications from course materials.
- Generate organized study notes linking traditional medicine patterns to acupoint treatments automatically.
- Find relevant course screenshots and evidence references when researching specific diagnoses or treatments.
Provides structured access to Traditional Chinese Medicine educational content with organized formula-pattern-acupoint relationships, reducing study friction and enabling rapid reference during research or clinical knowledge work.
TCM practitioners and students needing indexed course materials, formula-pattern verification, and evidence-based acupoint reference lookup.
https://github.com/JuneYaooo/nihaisha-nishi-tcm
By JuneYaooo
How to Get It
claude plugins install JuneYaooo/nihaisha-nishi-tcm
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Retrieve specific TCM formulas and their clinical applications from course materials
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 717 GitHub stars; contributors unknown; last commit 1d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- Single maintainer. Consider the risk if this person stops maintaining the project.
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Evaluation
Scored from trust signals (evidence-eval-v1): 717 GitHub stars; contributors unknown; last commit 1d ago; license no license.