Manage indicators and metrics within Engage Analytics dbt projects.
npx skills add https://github.com/mberg/claude-skills --skill engage-indicators
Please help me install this Agent Skill. Skill: engage-indicators Source: https://github.com/mberg/claude-skills/tree/main/skills/engage-indicators Command: npx skills add https://github.com/mberg/claude-skills --skill engage-indicators
Engage Analytics teams often struggle to keep indicators and metrics aligned with evolving healthcare data sources and dbt models. This skill provides governance for indicator definitions, supports creating new metrics, and helps model questionnaire data to enable reliable, scalable analytics across the Engage pipeline.
Provide the indicator name and data source to create a new indicator and generate the corresponding metric definitions and dbt scaffolding.
High-intent search queries and answers about installing and using this skill.
You can create new healthcare metrics in dbt by providing an indicator name and data source, which generates metric definitions and dbt model scaffolding. This keeps indicators aligned with evolving healthcare data sources.
The best way to model questionnaire data is by defining data models and mapping them directly to metrics. This enables consistent analytics across your dbt marts and ensures reliable indicator definitions throughout the pipeline.
Yes, you can update and retire existing indicators within Engage Analytics to reflect new business requirements and data sources. This governance maintains scalable and reliable dbt model development without breaking dependencies.
dbt model development workflows handle new indicator creation through trigger-guided processes that apply indicator definitions and metric configurations directly across Engage dbt models, ensuring pipeline alignment and scalable analytics.
Yes, aligning metrics with evolving healthcare data sources is supported by providing governance for indicator definitions. This allows you to create, update, and retire metrics to enable reliable, scalable analytics across the dbt pipeline.
kyle-chalmersConfigure dbt models with the Semantic Layer and validate with dbt parse.
Sumeet138Organize dbt analytics projects with pattern-based structures for sources, staging, intermediate, and marts.
PriyanshKuniyalAutomate data quality validation with Great Expectations and dbt tests.
nrakowDefine organization KPIs and generate dbt-compatible dictionaries and hierarchies.
