rh-inf-discovery

Organize healthcare informatics evidence into discovery-plan.yaml and discovery-readout.md.

12|1|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/reason-healthcare/rh-skills --skill rh-inf-discovery
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rh-inf-discovery
Source: https://github.com/reason-healthcare/rh-skills/tree/main/skills/.curated/rh-inf-discovery
Command: npx skills add https://github.com/reason-healthcare/rh-skills --skill rh-inf-discovery

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Healthcare informatics researchers and clinicians often struggle to systematically identify, evaluate, and organize evidence for topic-driven inquiries. This skill provides a structured, interactive workflow to generate a living discovery plan and a normalized sources list that downstream ingestion tooling can consume.

Core Features & Use Cases

  • Interactive discovery loop guiding domain advice and source prioritization
  • Generates discovery-plan.yaml and discovery-readout.md for ingestion
  • Orchestrates searches across PubMed/PMC, ClinicalTrials.gov, and US government sources
  • Ensures inclusion of terminology and health-economics considerations in the plan

Quick Start

Initiate a discovery session by running rh-inf-discovery session <domain> to begin building a plan.

Frequently Asked Questions about rh-inf-discovery

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

FAQPage Schema
How do I systematically find healthcare informatics evidence across PubMed and ClinicalTrials.gov?

To find healthcare informatics evidence, this skill orchestrates an interactive discovery loop across PubMed, PMC, ClinicalTrials.gov, and US government sources. It guides domain advice and source prioritization to produce a normalized sources list for your research.

What is a discovery plan for health informatics topic research?

A discovery plan for health informatics is a structured YAML file that defines search strategies across medical databases. It enforces a living sources list and requires terminology and health-economics considerations to ensure comprehensive evidence identification.

Can I use this to search both PubMed and US government sources for clinical evidence?

Yes, you can search both PubMed and US government sources for clinical evidence. The skill operates across L1 discovery to orchestrate searches across PubMed, PMC, ClinicalTrials.gov, and US government sources, organizing results into a normalized sources list.

How do I start an evidence discovery session for a healthcare topic?

To start an evidence discovery session, initiate the interactive workflow by providing your target domain. The skill guides you through domain advice and source prioritization, ultimately generating a discovery-plan.yaml and a discovery-readout.md.

Does the discovery plan include health-economics and terminology considerations?

Yes, the discovery plan includes health-economics and terminology considerations. The skill enforces these requirements within the discovery session to ensure your evidence identification captures both clinical and economic dimensions of healthcare informatics.

What formats does the evidence discovery output generate for downstream ingestion?

The evidence discovery outputs a discovery-plan.yaml and a discovery-readout.md. These formats provide a structured living sources list designed for consumption by downstream ingestion tooling to acquire the identified sources.