Does it support PHQ-9 and GAD-7 scoring?

Yes, it includes predefined patterns and severity threshold logic for tracking and scoring common clinical assessments like PHQ-9 and GAD-7.

Can I use this for non-healthcare projects?

While specifically designed for Engage Analytics, its patterns for dbt metric management and questionnaire modeling are highly applicable to any complex data engineering project.

What is the main purpose of the engage-indicators skill?

It provides specialized guidance and automated workflows for managing indicators, questionnaire models, and data exports within the Engage Analytics dbt project.

How does this skill handle PII (Personally Identifiable Information)?

It includes a metadata-driven anonymization workflow where you can flag specific fields as PII to generate separate 'named' and 'anonymized' data models automatically.

What technical prerequisites are needed?

The skill assumes the use of dbt-postgres, the uv Python package manager, and a PostgreSQL database as the primary data store.

Engage Analytics & dbt Manager

Name: Engage Analytics & dbt Manager
Author: mberg

bymberg

0•

Analytics & Monitoring

Manages healthcare indicators, dbt model generation, and data anonymization workflows within the Engage Analytics ecosystem.

The Engage Indicators skill provides a comprehensive toolkit for managing healthcare analytics within a dbt-based environment. It streamlines the creation of new metrics, automates the generation of questionnaire response models, and handles complex data anonymization workflows for PII protection. Whether you are defining PHQ-9/GAD-7 scoring logic, configuring S3 data exports, or setting up a local dbt environment with uv and postgres, this skill guides you through the entire lifecycle of healthcare data modeling and indicator reporting.

Key Features

010 GitHub stars

02PII metadata management and secure anonymization workflows

03Integrated S3 data export automation for cloud storage sync

04Automated questionnaire model generation for named and anonymized views

05Built-in support for healthcare assessment scores like PHQ-9 and GAD-7

06Centralized metrics catalog management via dbt macros and SQL

Use Cases

01Defining and verifying patient-level metrics for healthcare reporting dashboards

02Configuring secure, anonymized data exports to AWS S3 for HIPAA-compliant analysis

03Integrating new clinical questionnaire forms into a dbt analytics pipeline

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mberg/claude-skills engage-indicators

For use in Claude.ai and ChatGPT

Download Skill