resolve-concept-sets

Expand INDICATE concept sets into OMOP concept lists using resolve.py.

7|4|Updated Feb 12, 2026
One-click install
npx skills add https://github.com/indicate-eu/data-dictionary --skill resolve-concept-sets
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: resolve-concept-sets
Source: https://github.com/indicate-eu/data-dictionary/tree/main/.claude/skills/resolve-concept-sets
Command: npx skills add https://github.com/indicate-eu/data-dictionary --skill resolve-concept-sets

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of expanding and resolving INDICATE concept sets into detailed lists of OMOP concepts, saving time and reducing manual effort for data analysts and healthcare researchers.

Core Features & Use Cases

  • Concept Resolution: Convert concept set expressions into comprehensive lists of OMOP concepts, including descendants and mappings.
  • Scope & Application: Ideal for scenarios like updating medication lists or clinical variable definitions in research projects.
  • Functional Coverage: Handles individual concept set IDs, resolves all sets, and integrates with local OMOP vocabularies via resolve.py scripts.

Quick Start

Enter a concept set ID or 'all' to resolve related OMOP concepts directly.

Frequently Asked Questions about resolve-concept-sets

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

FAQPage Schema
How do I resolve OMOP concept sets into detailed concept lists for clinical data analysis?

You can resolve OMOP concept sets by automating the expansion of INDICATE concept set expressions into comprehensive lists that include descendants and mappings. This process uses the resolve.py script configured with your local vocabulary sources for accurate clinical terminology retrieval.

What is OMOP vocabulary resolution and when do I need it for healthcare research?

OMOP vocabulary resolution is the process of converting concept set expressions into comprehensive lists of specific OMOP concepts, including descendants and mappings. You need it when updating medication lists or clinical variable definitions to ensure accurate terminology coverage in research projects.

Can I resolve all INDICATE concept sets at once or do I need to process them individually?

You can resolve all INDICATE concept sets at once by entering 'all' as the input, or you can target specific sets by providing an individual concept set ID. Both methods use the resolve.py script to expand the sets against your local OMOP vocabularies.

Do I need a local OMOP vocabulary database to expand clinical concept sets?

Yes, you need a local OMOP vocabulary database configured as a source. The resolution process depends on these local vocabularies to accurately expand concept set expressions into detailed lists of OMOP concepts, including their descendants and mappings.

What's the best way to update clinical variable definitions using OMOP standards?

The best way to update clinical variable definitions is to automate the expansion of your concept set expressions into detailed OMOP concept lists. By running the resolve.py script against local vocabularies, you retrieve and validate the comprehensive terminology needed for accurate research variables.

Why does my OMOP concept set resolution not include descendant concepts?

OMOP concept set resolution may fail to include descendants if the local vocabulary sources are not properly configured in the script. Accurate processing requires correctly set up vocabulary sources to resolve the full hierarchy of mappings and descendants.