An intelligent Traditional Chinese Medicine (TCM) diagnostic tool that identifies body constitutions through a structured 9-question inquiry and provides dietary recommendations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install constitution-inquiry
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install constitution-inquiry using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Constitution Inquiry is a specialized health assessment tool designed for Openclaw Skills that automates the Traditional Chinese Medicine (TCM) diagnostic process. It guides users through a standardized interaction flow to identify their specific body constitution based on physical traits, energy levels, and physiological symptoms.
By leveraging TCM differential diagnosis theories, the skill analyzes user responses to pinpoint up to three primary constitutional patterns (Zhengsu). Beyond simple identification, it integrates with a reference food database to provide highly personalized dietary suggestions, balancing the scores of various symptoms to ensure recommendations are both effective and safe.
To integrate this capability into your agent, ensure you have the Openclaw Skills environment configured. Place the skill definition in your skills directory and ensure the reference data is accessible.
# Example directory structure
# /skills/constitution-inquiry.md
# /references/food-list.md
# Ensure your agent has read access to the reference directory
# for the food-list.md scoring logic.
The skill utilizes a structured inquiry and a reference-based scoring model:
| Component | Type | Description |
|---|---|---|
| Inquiry Results | List | A summary of 9 core physiological dimensions. |
| Syndrome Identification | Analysis | Selection of max 3 syndromes (e.g., Qi Deficiency, Yin Deficiency, Dampness). |
| Food Reference | Markdown Table | external food-list.md containing targeted syndromes and scoring weights. |
| Scoring Mechanics | Algorithm | Uses <H> (High), <L> (Low), and numeric coefficients (0.1-0.5) for recommendation priority. |
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