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view-data

Query and explore dlt pipeline data using Python and ibis expressions.

53|5|Updated Feb 17, 2026
Search Tags:#data access#data exploration#dlt#querying#ibis#pipeline data
One-click install
npx skills add https://github.com/dlt-hub/dlthub-ai-workbench --skill view-data
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: view-data
Source: https://github.com/dlt-hub/dlthub-ai-workbench/tree/main/workbench/rest-api-pipeline/skills/view-data
Command: npx skills add https://github.com/dlt-hub/dlthub-ai-workbench --skill view-data

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows you to easily query, explore, and view data that has been loaded into your dlt pipelines, enabling quick data validation and understanding.

Core Features & Use Cases

  • Ad hoc querying: Write Python code to fetch specific data subsets or aggregates.
  • Data exploration: Inspect table schemas, row counts, and sample data.
  • Use Case: After loading user data, ask "show me the top 10 users by signup date" or "what is the average session duration for each user".

Quick Start

Use the view-data skill to show the row counts for all tables in the 'my_pipeline' pipeline.

Frequently Asked Questions about view-data

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

FAQPage Schema
How do I query data loaded by a dlt pipeline?▼

Query dlt pipeline data by attaching to the pipeline and using the dlt dataset API to execute SQL or ibis expressions against loaded tables for ad hoc reporting.

Can I explore dlt pipeline tables and check row counts in Python?▼

Explore dlt pipeline tables in Python by retrieving the dataset and inspecting schemas, row counts, and sample data to validate loaded data directly.

Does the view-data skill support ibis expressions for data exploration?▼

Yes, data exploration supports ibis expressions, allowing you to write Python code to fetch specific data subsets or aggregates from your loaded dlt tables.

What is the best way to validate data after loading it with dlt?▼

Validate loaded dlt data by attaching to the pipeline and running ad hoc queries via the dataset API to inspect table schemas and verify specific data subsets.

How do I run ad hoc reports against dlt pipeline data?▼

Run ad hoc reports by attaching to your dlt pipeline, retrieving the dataset, and executing SQL or ibis queries to aggregate and fetch the specific loaded data you need.

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