“SQL”

Provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query…

Generates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language.

Use this skill to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the…

Generates Python code using BigQuery DataFrames (BigFrames).

Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents.

Builds, configures, debugs, and optimizes AWS observability - operator-symptom questions and detecting Omni vs classic CloudWatch.

Migrate workloads from Microsoft Azure to AWS.

Migrate workloads from Google Cloud Platform to AWS — plus AI and agentic workloads from any provider.

Debug and support PostHog Experiments (A/B tests) for a customer looking at their own results.

Runs diagnostics and a health check on one PostHog experiment: its setup, exposures, results and changes during the run.

Adds and runs data quality checks (dbt-test style assertions) on a project's warehouse tables and saved-query views, and HogQL catalog metrics: not-null…

Data modeling patterns for Azure DocumentDB — embed vs reference, 16 MB document limit, denormalization for read-heavy workloads, schema versioning.

Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment…

Python backend for Databricks Apps — FastAPI (default), Flask, Dash, Streamlit, Gradio, Reflex.

Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI.

Build managed ingestion pipelines into Databricks using Lakeflow Connect.

Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks.

Execute code and manage compute on Databricks: run Python/Scala/SQL/R via serverless, classic, or interactive clusters, and create/resize/delete clusters and…

Databricks CLI operations and the parent/entry-point skill for Databricks CLI use: authentication, profile selection, and bundles.

Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP.

Create Databricks AI/BI dashboards.

Queries S3 object metadata, tracks bucket activity, audits object changes, searches annotations, and analyzes storage metrics using S3 Metadata system tables…

Writes and curates business metadata in an AWS data catalog: the Amazon SageMaker Catalog (Amazon DataZone), or the AWS Glue Data Catalog.

Generate read-only DocumentDB/MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents.