explore-data

Explore, profile, and visualize data in dlt pipelines with SQL and Altair code.

53|5|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/dlt-hub/dlthub-ai-workbench --skill explore-data-dlt-hub
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: explore-data
Source: https://github.com/dlt-hub/dlthub-ai-workbench/tree/main/workbench/data-exploration/skills/explore-data
Command: npx skills add https://github.com/dlt-hub/dlthub-ai-workbench --skill explore-data-dlt-hub

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you understand and visualize the data within your dlt pipelines, transforming raw data into actionable insights without writing complex queries.

Core Features & Use Cases

  • Data Discovery: Connects to dlt pipelines to list tables and schemas.
  • Data Profiling: Analyzes data quality, identifies anomalies, and flags Personally Identifiable Information (PII).
  • Chart Planning: Generates plain-language business questions and plans one chart at a time based on your data and questions.
  • Code Generation: Produces SQL queries and Altair chart code for visualization.
  • Use Case: You've loaded customer data into a dlt pipeline and want to understand sales trends. This Skill can profile your sales data, suggest questions like "What is the monthly revenue trend?", and generate the necessary code to visualize it.

Quick Start

Use the explore-data skill to analyze my customer data and suggest charts.

Frequently Asked Questions about explore-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I explore and visualize data loaded in a dlt pipeline?

To explore and visualize dlt pipeline data, this Skill connects to your pipeline to scan schemas, profile data quality, and generate SQL queries plus Altair chart code for actionable insights.

Can I automatically profile data and detect PII in my dlt pipelines?

Yes, you can profile data and detect PII in dlt pipelines. The Skill performs broad data profiling to analyze quality, identify anomalies, and flag Personally Identifiable Information automatically.

How do I generate Altair chart code from raw pipeline data?

Generating Altair chart code from pipeline data starts with the Skill planning one chart at a time. It formulates plain-language business questions and translates them into SQL and Altair visualization code.

Does this data exploration tool work without writing complex SQL queries?

Yes, data exploration works without writing complex SQL queries manually. The Skill automates schema scanning and query generation, producing an analysis_plan.md artifact to transform raw data into visualizations.

What is the best way to discover schemas and tables in a dlt pipeline?

The best way to discover schemas and tables in a dlt pipeline is using the high-intent schema scan path. The Skill connects directly to your pipeline to list available tables and schemas for data discovery.

When should I use broad profiling versus schema scanning for data exploration?

Use broad profiling for low-intent analysis to understand overall data quality and anomalies, and use schema scanning for high-intent discovery of specific tables and schemas within your dlt pipeline.