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Clinical Decision Support

Listed
davila7·vlatest·other·MIT

This skill provides evidence-based recommendations to clinicians, improving diagnostic accuracy and treatment choices for better patient outcomes.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill clinical-decision-support -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

The clinical-decision-support skill provides templates designed to assist AI agents in analyzing medical data and generating structured diagnostic reasoning. It helps agents process patient information, evaluate symptoms against known conditions, and formulate potential treatment plans based on established guidelines.

When to use it

  • Analyzing complex patient histories to identify patterns indicative of specific diseases.
  • Generating differential diagnoses by comparing reported symptoms with clinical criteria.
  • Drafting structured summaries of medical findings for review by healthcare professionals.
  • Evaluating potential drug interactions or contraindications based on patient profiles.

Key capabilities

  • Structured diagnostic reasoning workflows
  • Symptom-to-condition mapping logic
  • Treatment plan generation templates
  • Medical guideline adherence checks

Example prompts

  • "Analyze the following patient symptoms and generate a differential diagnosis list with confidence levels."
  • "Review this clinical case summary and outline potential treatment options based on current medical standards."
  • "Identify any red flags in this patient history that require immediate specialist intervention."

Tips & gotchas

Ensure all input data includes verified patient identifiers or anonymized details to maintain privacy compliance. Always verify AI-generated medical conclusions against professional judgment before implementation, as these tools support rather than replace clinical expertise.