Does it support specific mental health assessment tools?

Yes, it includes predefined logic and severity score ranges for PHQ-9 and GAD-7 assessments, as well as eligibility tracking for tools like mwTool.

How does this skill handle PII and data privacy?

It utilizes a metadata-driven approach where specific fields in the questionnaire metadata can be flagged for anonymization, allowing the skill to automatically generate masked SQL views.

Which dbt projects is this skill compatible with?

It is specifically optimized for the Engage Analytics dbt project structure, focusing on the metrics catalog and long-format fact tables.

Can this skill help generate new SQL models?

Absolutely. It provides automated scripts and manual patterns for creating both source models and the resulting anonymized questionnaire models.

Engage Analytics Indicators

Name: Engage Analytics Indicators
Author: onaio

byonaio

0•

分析と監視

Manages healthcare metrics and dbt models for the Engage Analytics project, including questionnaire processing and indicator definitions.

The Engage Indicators skill streamlines the management of healthcare analytics within the Engage dbt project by automating the creation of indicators and questionnaire models. It provides standardized workflows for extracting metadata from FHIR-like questionnaire responses, generating anonymized data models, and mapping complex indicators to specific dbt metrics. This skill is essential for data engineers and analysts working with mental health screenings—such as PHQ-9 and GAD-7—and clinical workflows, ensuring consistent metric definitions and robust data privacy through automated PII anonymization.

主な機能

01Automated questionnaire model generation for both named and anonymized datasets

02Guided workflows for defining and mapping new healthcare indicators and domains

03Built-in patterns for calculating clinical assessment scores like PHQ-9 and GAD-7

04Standardized metadata management for granular PII and anonymization control

05Seamless integration with dbt for metric cataloging and fact table construction

060 GitHub stars

ユースケース

01Integrating a new clinical questionnaire into the Engage Analytics data pipeline

02Defining programmatic metrics for patient adoption, treatment, and follow-up rates

03Ensuring PII compliance by updating anonymization flags in questionnaire metadata

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add onaio/engage-analytics engage-indicators

For use in Claude.ai and ChatGPT

Download Skill