Analytics & Monitoring Agent Skills for Gemini CLI

DALI imperative dynamic mode (`nvidia.dali.experimental.dynamic`, ndd): use when working on ndd code or migrating pipelines; skip…

Use this skill to build, implement, and test Vizro dashboards (Phase 2).

Build source-backed dashboards for monitoring performance, exploring drivers, or acting on product and business metrics.

Generate monitoring dashboards for Grafana and DataDog with alert integration

DashScope (Alibaba Cloud Bailian) integration — image generation (qwen-image-2.0-pro), text-to-speech (qwen3-tts-flash), and ASR…

Use when building and running the empirical analysis for a Journal of Corporate Finance (JCF) paper — assembling WRDS-era firm panels…

Use when analyzing and reporting results for a Journal of Educational Psychology manuscript.

When to activate: data analysis, statistical analysis, hypothesis testing, A/B test analysis, regression, data visualization, insight…

Use when analyzing and reporting results for an Organization Science manuscript across its eclectic methods — establishing trustworthiness…

Use this DeepCTR sub-skill for SparseFeat, DenseFeat,

Enriches data catalog entries with automated metadata

Generates comprehensive data profiling reports and automated exploratory data analysis (EDA) for various datasets.

Generate plots, charts, and graphs from data with automatic visualization

Generates OpenChart (https://github.com/tryopendata/openchart) chart, table, graph, sankey, tilemap, and geo map specs from data, and…

Monitor use when you need to work with monitoring and observability.

Build apps on Databricks Apps platform. Use when asked to create data apps, analytics tools, or custom interactive visualizations. A plain…

Produce structured monthly internal bank financial analysis inside a Databricks Genie Agent using extracted PDF financials as the baseline…

Audit internal bank financial statement packages in Databricks Genie or Agent mode after a user uploads a PDF or Excel package and…

Diagnose and fix Databricks common errors and exceptions.

Collect Databricks debug evidence for support tickets and troubleshooting.

Create a minimal working Databricks example with cluster and notebook.