Rehabilitation Analyzer

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by huifer · vlatest · Repository

Analyzes patient data to identify optimal rehabilitation plans & track progress, boosting efficiency and personalized care outcomes.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add rehabilitation-analyzer npx -- -y @trustedskills/rehabilitation-analyzer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "rehabilitation-analyzer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/rehabilitation-analyzer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The rehabilitation-analyzer skill provides analysis of patient rehabilitation data. It allows for discovery and installation of skills for AI agents. The tool aims to improve healthcare outcomes through enhanced data processing and insights.

When to use it

  • Analyzing a patient's progress in physical therapy based on recorded exercise metrics.
  • Identifying potential roadblocks or areas needing adjustment in a rehabilitation plan.
  • Generating reports summarizing patient performance for clinicians.
  • Comparing a patient’s rehabilitation outcomes against established benchmarks.

Key capabilities

  • Data analysis of rehabilitation exercises
  • Skill discovery and installation
  • Report generation
  • Performance comparison

Example prompts

  • "Analyze this patient's range of motion data from the past week."
  • "Generate a report summarizing John Doe’s progress in occupational therapy."
  • “Compare Sarah Miller’s knee strength scores to average values for her age group.”

Tips & gotchas

The skill requires access to properly formatted rehabilitation data. Ensure that input data adheres to expected formats for accurate analysis and reporting.

Tags

🛡️

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Details

Version
vlatest
License
Author
huifer
Installs
14

🌐 Community

Passed automated security scans.