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treatment-plans

Generate standardized treatment plans in LaTeX/PDF with validation workflows.

1|Updated Jan 26, 2026
Search Tags:#SMART goals#HIPAA compliance#treatment plans#clinical documentation#LaTeX templates#medical writing
One-click install
npx skills add https://github.com/Victory-Hugo/S2-Agent-Skill --skill treatment-plans-victory-hugo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: treatment-plans
Source: https://github.com/Victory-Hugo/S2-Agent-Skill/tree/main/skills/writing/treatment-plans
Command: npx skills add https://github.com/Victory-Hugo/S2-Agent-Skill --skill treatment-plans-victory-hugo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation of concise, clinically actionable treatment plans in LaTeX/PDF format, reducing drafting time and improving consistency with regulatory and documentation standards.

Core Features & Use Cases

  • Template-driven planning: Generate 1-page quick-reference plans or extended 3-4 page documents across general medicine, rehabilitation, mental health, perioperative, and pain management.
  • Regulatory-ready outputs: Built-in HIPAA de-identification guidance, risk mitigation sections, and clinical quality checks aligned with healthcare standards.
  • Validation & styling: Includes validation scripts, quality checklists, and professional styling via a LaTeX package for polished, publication-ready documents.
  • Examples: Type 2 diabetes plan, post-stroke rehab plan, perioperative care protocol, chronic pain management, etc.

Quick Start

  • Install LaTeX environment, copy a template from assets, customize placeholders, and compile to PDF using pdflatex.
  • Use the generate_template.py script to create a plan from an interactive menu, then validate with check_completeness.py and validate_treatment_plan.py.

Frequently Asked Questions about treatment-plans

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

FAQPage Schema
How do I generate clinical treatment plans in LaTeX format?▼

This Skill generates standardized treatment plans in LaTeX/PDF format using template-driven planning. It supports cross-specialty workflows including general medicine, rehabilitation, mental health, perioperative care, and pain management.

How do I include SMART goals and HIPAA de-identification in medical documentation?▼

SMART goals and HIPAA de-identification are enforced natively within the treatment plan generation workflow. The templates include built-in risk mitigation sections and de-identification guidance to ensure clinical documentation meets regulatory standards.

Can I use matplotlib with LaTeX templates for treatment plans?▼

Yes, matplotlib is a required dependency for generating treatment plans. It works alongside the LaTeX environment and provided assets to produce validated, professionally styled PDF documents for clinical use.

What is the best way to validate clinical treatment plans for completeness?▼

The best way to validate clinical treatment plans is by running the check_completeness.py and validate_treatment_plan.py scripts. These unit-tested validation workflows enforce quality checklists and SMART goals before final PDF compilation.

Do I need a LaTeX environment to create medical treatment plans?▼

Yes, a LaTeX environment is required to compile the final PDF output. You must install LaTeX, copy a template from assets, customize placeholders, and run pdflatex to generate the polished clinical document.

Are there limitations when using LaTeX templates for cross-specialty treatment plans?▼

Limitations include the requirement of a local LaTeX environment and Python dependencies for compilation and validation. Outputs are restricted to 1-page quick-reference plans or extended 3-4 page documents across the supported specialties.

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