quantitative-physiology
CommunityTurn physiology equations into insights
Education & Research#modeling#equations#dependency-graph#physiology#namespace-id#parameter-resolution#computational-biology
AuthorZpankz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill consolidates 248 atomic equations across nine physiological domains into a single, namespace-aware library, enabling consistent, reproducible calculations.
Core Features & Use Cases
- Domain-spanning, hierarchical equation IDs that prevent collisions and improve discoverability.
- Smart parameter resolution and dependency tracking to compose multi-equation workflows (e.g., cardiac output, oxygen delivery, GFR, gas exchange).
- Lazy-loading domain orchestration and a built-in dependency graph for efficient, on-demand computations.
Quick Start
Load the skill and begin computing by importing from scripts and calling compute with your parameters.
Dependency Matrix
Required Modules
numpy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: quantitative-physiology Download link: https://github.com/Zpankz/mcp-skillset/archive/main.zip#quantitative-physiology Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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