Data Skills
AI skills for SQL query writing, statistical analysis, dashboard building, and data validation.
On this page
Data skills handle the analytical work that sits between raw data and business decisions -- writing SQL queries, running statistical analysis, building dashboards, and validating data quality. They connect to your data warehouses and analytics platforms to work directly with your schemas and datasets.
Instead of context-switching between a SQL editor, a notebook, and a BI tool, a data skill takes your question and returns the analysis, query, or visualization spec you need.
What you can do
- Write SQL queries against your warehouse schemas with correct joins, filters, and aggregations
- Run statistical analysis on datasets and return results with confidence intervals and significance tests
- Build dashboard definitions and chart specifications from natural language descriptions
- Validate data quality by profiling columns, detecting anomalies, and flagging integrity issues
- Interpret datasets by summarizing distributions, trends, and outliers in plain language
- Generate reports that combine query results with narrative analysis and recommendations
Pre-built skills
| Skill | Description |
|---|---|
| Query Writer | Takes a natural language question and your schema context, then produces an optimized SQL query with explanations of the logic. |
| Data Analyst | Runs statistical analysis on a provided dataset and returns a structured report with key findings, visualizations, and methodology notes. |
| Dashboard Builder | Converts business questions into dashboard specifications with chart types, metrics, filters, and layout recommendations. |
| Data Validator | Profiles a dataset or table, checks for nulls, duplicates, type mismatches, and distribution anomalies, and returns a quality scorecard. |
Connectors
Data skills work best when connected to your analytics stack. Supported connectors include Snowflake, Databricks, BigQuery, Hex, Amplitude, and Jira.
Connect them through the dashboard under Connectors to give your skills direct access to your data infrastructure.
Next steps
- Creating Skills -- Build a custom data skill tailored to your schemas and analysis patterns
- Publishing Skills -- Share your skill with your team or the marketplace