Which data destinations are supported?

The skill supports all dlt-compatible destinations, including DuckDB, Google BigQuery, Snowflake, Redshift, and Postgres.

What is the dlt-skill for Claude Code?

It is a specialized capability that assists developers in generating, configuring, and debugging data pipelines using the dlt (data load tool) Python library.

Can I use this for custom or private REST APIs?

Yes, the skill provides a decision tree to help you choose between a declarative REST API approach or a custom Python approach for non-standard APIs.

How does it handle API credentials and secrets?

It guides you through setting up .dlt/secrets.toml and reminds you to add sensitive configuration files to your .gitignore for security.

Does it support incremental data loading?

Yes, it includes specific patterns for identifying cursor fields and configuring 'merge' or 'append' write dispositions to handle new or changed data efficiently.

DLT Pipeline Creator

Name: DLT Pipeline Creator
Author: untitled-data-company

byuntitled-data-company

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Database Management

Automates the creation and maintenance of robust data ingestion pipelines using the dlt library for various APIs and databases.

This skill empowers developers to rapidly build and debug data pipelines by leveraging the dlt (data load tool) ecosystem. It guides users through selecting the optimal ingestion strategy—whether utilizing verified sources like Salesforce and Stripe, a declarative REST API configuration, or custom Python logic—while automating configuration for destinations such as BigQuery, Snowflake, and DuckDB. By simplifying complex data engineering tasks like incremental loading, schema evolution, and secret management, this skill streamlines the entire ETL process from source to destination.

Key Features

01Custom Python source generation using @dlt.source and @dlt.resource decorators.

02Declarative REST API source configuration for rapid, config-based data extraction.

0318 GitHub stars

04Built-in patterns for incremental loading, deduplication, and merge-based write dispositions.

05Automated pipeline initialization for verified dlt sources like Salesforce, GitHub, and Stripe.

06Standardized configuration management for .dlt secrets and destination settings.

Use Cases

01Building custom ingestion scripts for proprietary REST APIs with automated pagination and auth.

02Syncing SaaS platform data (e.g., HubSpot, Slack) into a central data warehouse for analysis.

03Prototyping local data engineering workflows using DuckDB and incremental data refreshes.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add untitled-data-company/data-skills dlt-skill

For use in Claude.ai and ChatGPT

Download Skill