find-destination

Identify and configure DLT destinations with authentication details and configuration steps.

19|Updated Apr 1, 2026

Search Tags:#configuration #credentials #dlt #data-pipelines #tower #destination #find-destination

Ready to run

npx skills add https://github.com/tower/agentic-data-engineering --skill find-destination

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: find-destination
Source: https://github.com/tower/agentic-data-engineering/tree/main/.claude/skills/find-destination
Command: npx skills add https://github.com/tower/agentic-data-engineering --skill find-destination

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Locate the best DLT destination for loading data based on user input and project context.

Core Features & Use Cases

Determine a default (Iceberg) or user-specified destination and validate compatibility with the data pipeline.
Generate concrete destination recommendations and required authentication/configuration steps.
Use Tower CLI/workflow to list, select, and bridge environment variables for destination setup.

Quick Start

Tell it your target destination and constraints, and it will propose the best matches and required credentials.

Frequently Asked Questions about find-destination

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

FAQPage Schema

How do I choose the best destination for my dlt data pipeline?▼

Choosing a dlt destination involves evaluating your target system and project constraints to generate concrete configuration options and required credentials. The tool validates compatibility against the supported destination list and recommends the best matches.

What is the default destination when initializing a dlt pipeline?▼

Iceberg is the default destination applied when no explicit target is specified for your dlt pipeline. It validates pipeline compatibility and provides the required authentication details for setup.

How do I configure credentials for a dlt destination?▼

You configure credentials for a dlt destination by using the Tower CLI or workflow to bridge environment variables. This process lists, selects, and outputs the required authentication details and configuration steps.

Can I use the dlt init workflow to set up my data pipeline destination?▼

Yes, the dlt init workflow supports setting up your data pipeline destination. It validates your chosen target against the supported list and outputs the required authentication details and configuration steps.

Which destinations are supported for loading data with dlt?▼

Supported destinations are validated against a predefined list to ensure compatibility with your data pipeline. The tool matches your explicit requests or project context to options within this list and outputs the required configuration.