๐Ÿฉบ
AI EngineeringPython

Clinical Decision Support Documents

by foryourhealth111-pixel

Clinical Decision Support Documents is an AI Engineering skill for Claude Code, published by foryourhealth111-pixel in Vibe-Skills.

2.9K stars227 forkson foryourhealth111-pixel/Vibe-SkillsAdded 2026/08/17+6% in starsRepository updated 2026/08/11
agent-frameworkagent-skillsagentic-codingai-agentsai-scientistai-skillsai-workflowautomationclaude-codecodexcontext-engineeringdeveloper-toolsdsh-pluginllmmulti-agentprompt-engineeringskillsvibe-codingvibecodingworkflow-automation
Install in seconds
Install Clinical Decision Support Documents
Copy Clinical Decision Support Documents into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/clinical-decision-support ~/.claude/skills/clinical-decision-support

Requires Node.js. Downloads this skill only โ€” not the rest of the repository โ€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/foryourhealth111-pixel/Vibe-Skills.git

Clones the whole repository, then copy the skillโ€™s own directory into your skills folder yourself.

In this catalog

Source file
bundled/skills/clinical-decision-support/SKILL.md in foryourhealth111-pixel/Vibe-Skills
Installs to
~/.claude/skills/clinical-decision-support
Collection
One of 25 skills cataloged from this repository
Category
AI Engineering โ€” 2451 skills

What Clinical Decision Support Documents does

Clinical Decision Support Documents generates publication-ready clinical decision support reports for pharmaceutical and research settings. Use it for cohort analyses, evidence-graded treatment recommendations, and biomarker-driven decision algorithms.

Clinical Decision Support Documents is cataloged under AI Engineering on DirSkills. Clinical Decision Support Documents comes from a repository tagged agent-framework, agent-skills, agentic-coding, ai-agents and ai-scientist.

Documentation

README

Clinical Decision Support Documents

Description

Generate professional clinical decision support (CDS) documents for pharmaceutical companies, clinical researchers, and medical decision-makers. This skill specializes in analytical, evidence-based documents that inform treatment strategies and drug development:

  1. Patient Cohort Analysis - Biomarker-stratified group analyses with statistical outcome comparisons
  2. Treatment Recommendation Reports - Evidence-based clinical guidelines with GRADE grading and decision algorithms

All documents are generated as publication-ready LaTeX/PDF files optimized for pharmaceutical research, regulatory submissions, and clinical guideline development.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Clinical Decision Support Documents

  • What else does foryourhealth111-pixel publish alongside Clinical Decision Support Documents?

    Clinical Decision Support Documents is one of 25 skills that DirSkills catalogs from foryourhealth111-pixel/Vibe-Skills, the repository it ships in. Its siblings there include Adaptyv, Aeon Time Series ML and Algorithmic Art. Each one is a separate skill with its own page in this directory, installs the same way Clinical Decision Support Documents does, and is maintained by foryourhealth111-pixel in that same repository. The rest of the collection is listed on the foryourhealth111-pixel/Vibe-Skills page.

  • How does Clinical Decision Support Documents compare to other AI Engineering skills?

    Clinical Decision Support Documents ranks #719 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Clinical Decision Support Documents against them. Open each page to compare what they document and how they install.

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