skills.rest
rafaelminatto1
rafaelminatto1COMMUNITY
Explore all skills by this author →
GitHub

fisioflow-exercise-prescription

Manage exercise library data and generate home exercise programs.

Updated Sep 2, 2025
Search Tags:#embeddings#protocols#exercise#hep#ai search#prescription#physiotherapy
One-click install
npx skills add https://github.com/rafaelminatto1/fisioflow-51658291 --skill fisioflow-exercise-prescription
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fisioflow-exercise-prescription
Source: https://github.com/rafaelminatto1/fisioflow-51658291/tree/main/.agents/skills/fisioflow-exercise-prescription
Command: npx skills add https://github.com/rafaelminatto1/fisioflow-51658291 --skill fisioflow-exercise-prescription

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Therapists and developers often struggle to manage large libraries of exercises, protocols, and home exercise programs (HEP) across multiple apps and teams. This Skill provides a centralized reference with AI search, canonical data models, and prescription workflows to speed up discovery, assembly, and delivery of personalized exercise plans.

Core Features & Use Cases

  • AI-powered search across exercises, categories, and protocols
  • Structured data models for exercises, categories, protocols, and prescriptions
  • End-to-end home exercise program creation and patient-delivery workflows

Quick Start

Query the exercise library and protocol data to generate a ready-to-send Home Exercise Program (HEP) for a patient.

Frequently Asked Questions about fisioflow-exercise-prescription

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a structured home exercise program for physiotherapy patients?▼

AI-powered exercise prescription uses embeddings to search across exercises, categories, and protocols, solving the challenge of retrieving scattered therapy data. It provides a scalable, centralized environment for assembling personalized plans.

Can I search across physiotherapy protocols and exercise categories using AI?▼

Yes, AI search retrieves relevant data models through embeddings rather than manual browsing. You can query physiotherapy protocols, exercises, and categories to speed up discovery across a scalable library.

What is the best way to manage a large exercise library across multiple teams?▼

A centralized reference with canonical data models and prescription workflows provides scalable tooling for HEP creation and delivery across multiple apps and teams. This approach manages large exercise libraries effectively.

Does this exercise prescription workflow support HEP creation and patient delivery?▼

Yes, the exercise prescription workflow supports end-to-end HEP creation and patient delivery. It includes structured data models for exercises, categories, protocols, and prescriptions to generate ready-to-send programs.

What data models are needed for physiotherapy exercise prescription and HEP workflows?▼

Structured data models for exercises, categories, protocols, and prescriptions are required for physiotherapy exercise prescription. These canonical models support HEP creation, AI search, and scalable patient delivery.

Related Skills

Explore More Education & Research Skills→
JNZader-VaultJNZader-Vault

zod-validation

Validate TypeScript data structures at runtime using Zod schemas.

Official
Intermediate
arbisoftarbisoft
4

healthcare-emr-patterns

Guide EMR/EHR module design with patient safety and audit trail patterns.

Official
Advanced
leonardoteodorooleonardoteodoroo

rag-implementation

Builds minimal RAG pipelines combining vector stores and document retrieval for grounded answers.

Community
Advanced
fkguofkguo
14

hep-mcp-usage

Access HEP literature and evidence via the Nullius hep-mcp MCP stack.

Community
Intermediate