uchicago-data-analytics

Check the UChicago data analytics plugin runtime, local config, Oracle client, and database readiness.

Start a guided data exploration session across UChicago enterprise domains — student information, alumni relations and development, workforce, and AURA.

Capture a request to add or improve a data domain, subject area, metric, dictionary, or SQL rule.

Set up a new UChicago data analytics project — folder structure, database connection, and CLAUDE.md guidelines.

Save, update, and resume durable analysis state for UChicago analytics work. Use when a conversation reaches a logical checkpoint, before context gets large, before compaction, after dataset discovery, after definitions are confirmed, after scenario setup, or when creating repeatable project-local instructions.

Cohort and segmentation analysis playbook. Use for cohorts, retention, churn, conversion, lifecycle stages, entering classes, patient/student/customer groups, segment comparisons, funnel stages, and longitudinal group tracking.

Dashboard and report design playbook. Use when users need an executive report, dashboard, stakeholder summary, chart package, recurring report, KPI layout, or presentation-ready narrative from warehouse or external dataset results.

Parent router for UChicago analytics exploration. Use for any data question, including warehouse data, external Excel/CSV/PDF files, hybrid analysis, what-if scenarios, pattern discovery, or continuing/saving analysis state.

Data quality and readiness playbook. Use when assessing whether warehouse results or external files are reliable, complete, clean, fresh, unique, valid, or ready for analysis; includes missing values, duplicates, outliers, formula errors, grain checks, and data readiness summaries.