skills

Use whenever the user works with Jupyter notebooks (`.ipynb`), including creating, inspecting, editing, executing, or visualizing notebook content for experiments, explorations, or tutorials.

A workflow for conducting rigorous, reproducible data investigations and ad-hoc analyses. This skill should be used when investigating a business question, explaining a metric anomaly, validating a hypothesis, performing root cause analysis, or preparing a one-off investigation dashboard or memo.

This skill should be used when a user needs help debugging a Snowflake SQL query, understanding a Snowflake query failure, isolating incorrect results, fixing joins or filters, diagnosing performance problems, or turning a vague warehouse error into a concrete root cause and corrected query. It is a standalone Snowflake query debugging skill for ad hoc SQL work across databases, schemas, and environments.