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dlt-hub
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setup-runtime

Verify and configure a dlt workspace for dltHub Runtime deployment.

53|5|Updated Feb 17, 2026
Search Tags:#deployment#configuration#runtime#workspace#setup#dlt
One-click install
npx skills add https://github.com/dlt-hub/dlthub-ai-workbench --skill setup-runtime
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: setup-runtime
Source: https://github.com/dlt-hub/dlthub-ai-workbench/tree/main/workbench/dlthub-runtime/skills/setup-runtime
Command: npx skills add https://github.com/dlt-hub/dlthub-ai-workbench --skill setup-runtime

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires uv, and includes references (resource) components.

What problem does it solve?

This Skill ensures your dlt workspace is correctly configured and has the necessary dependencies installed to deploy pipelines to dltHub Runtime, preventing deployment failures due to missing prerequisites.

Core Features & Use Cases

  • Dependency Check: Verifies the presence and correct installation of dlt[hub].
  • Configuration Validation: Checks for essential files like pyproject.toml and .dlt/.workspace.
  • Authentication: Guides through logging into dltHub Runtime to select or create a remote workspace.
  • Use Case: Before deploying your first pipeline to dltHub, run this skill to confirm your local environment is ready, ensuring a smooth deployment process.

Quick Start

Run this skill to set up your dlt workspace for dltHub Runtime.

Frequently Asked Questions about setup-runtime

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

FAQPage Schema
How do I prepare my dlt workspace for dltHub Runtime deployment?▼

To prepare a dlt workspace for dltHub Runtime deployment, verify the presence of pyproject.toml and .dlt/.workspace files, install dlt[hub] dependencies, and authenticate your dltHub Runtime account to select a remote workspace.

Why does my dlt pipeline deployment fail due to missing prerequisites?▼

dlt pipeline deployment fails when pyproject.toml is missing, the .dlt/.workspace file is absent, or the dlt[hub] dependency is not correctly installed. Configuring these workspace prerequisites resolves deployment failures.

Do I need uv to set up my dlt workspace for dltHub Runtime?▼

Yes, uv is a required dependency to set up your dlt workspace. It provides the underlying environment management needed to verify and install dlt[hub] dependencies for dltHub Runtime deployment.

How do I log into dltHub Runtime and select a remote workspace?▼

You log into dltHub Runtime and select a remote workspace by running the workspace setup process, which guides you through authentication and workspace selection after verifying your local dlt configuration.

What is the best way to validate dlt workspace configuration before deploying pipelines?▼

The best way to validate dlt workspace configuration is to run a configuration check that verifies essential files like pyproject.toml and .dlt/.workspace, and confirms the dlt[hub] dependency is installed correctly.

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