analyzing-data

From README

Data Analysis Answer business questions by querying the data warehouse. The kernel auto-starts on first exec call. All CLI commands below are relative to this skill's directory. Before running any scripts/cli.py command, cd to the directory containing this file. Workflow Pattern lookup — Check for a cached query strategy: If a pattern exists, follow its strategy. Record the outcome after executing: Concept lookup — Find known table mappings: Table discovery — If cache misses, search the codebase (Grep pattern=" " glob="/.sql") or query INFORMATIONSCHEMA. See reference/discovery-warehouse.md. Execute query: Cache learnings — Always cache before presenting results: Present findings to user. Kernel Functions | Function | Returns | |----------|---------| | runsql(query, limit=100) | Polars DataFrame | | runsqlpandas(query, limit=100) | Pandas DataFrame | | runsqlmany(queries, limit=100) | List of Polars DataFrames (one per query) | pl (Polars) and pd (Pandas) are pre-imported.