Analytics & Monitoring Agent Skills for VS Code

Build a reporting pipeline — scheduled reports with SQL queries, delivery via Slack or email, threshold alerts, and historical comparison.

Customer success reconnaissance — audit current onboarding completion, health signals, NRR, churn patterns, and CS motion.

Data quality and pipeline health check — freshness, schema drift, null rates, orphaned records, pipeline status.

Analytics and BI engineer — dashboards, metrics design, reporting pipelines, and data storytelling.

Observability reconnaissance — inventory what monitoring exists, map coverage, highlight blind spots.

Manage Sentry releases with versioning, commit association, and source

Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.

When the user wants to set up, improve, or audit analytics tracking and measurement.

Use when targeting Journal of Business and Economic Statistics (JBES) or deciding whether a manuscript at the statistics/econometrics…

Collect Juicebox debug evidence.

Primary Python toolkit for molecular biology.

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files.

Latch platform for bioinformatics workflows.

Comprehensive quantum computing toolkit for building, optimizing, and executing quantum circuits.

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical…

Review dead letter queue implementations for completeness using the Lenses MCP server.

Guides end-to-end Kaggle competition workflows from RAG knowledge base setup and feature engineering to model ensembling and submission…

Use when looking for top-solution tricks on a Kaggle competition, when needing CV-LB gap discussions, when validating a strategy against…

Standard Operating Procedure for ANY Kaggle experiment or competition entry.

Systematically replicate and learn from top Kaggle performers.

Analytics and attribution setup — tracking plan, UTM conventions, dashboard design, and attribution model selection.