skills.rest
dlt-hub
dlt-hubOFFICIAL
Explore all skills by this author →
Website𝕏@dlthubGitHub

deploy-run-sample-pipeline

Deploys and runs the pre-shipped Jaffle Shop sample pipeline on dltHub Platform.

1|Updated May 13, 2026
Search Tags:#onboarding#data pipeline#etl#dlt#dlthub#pipeline deployment#playground workspace
One-click install
npx skills add https://github.com/dlt-hub/dlthub-start --skill deploy-run-sample-pipeline-dlt-hub
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deploy-run-sample-pipeline
Source: https://github.com/dlt-hub/dlthub-start/tree/main/src/create_dlthub_workspace/scaffolds/minimal_workspace/_agents/cursor/.cursor/skills/deploy-run-sample-pipeline
Command: npx skills add https://github.com/dlt-hub/dlthub-start --skill deploy-run-sample-pipeline-dlt-hub

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? After scaffolding a dltHub workspace with dlthub-start, users need a guided final onboarding step that deploys and runs the bundled sample pipeline and confirms data landed in the playground destination. ## Core Features & Use Cases - Pipeline Deployment: Runs uv run dlthub deploy to deploy the pre-shipped pipeline.py that loads Jaffle Shop API data into the dltHub playground warehouse. - Monitored Execution: Starts a headless server and runs the pipeline with streamed logs, then surfaces the platform run URL and diagnoses common failures like expired trials or wrong workspace connections. - Dataset Verification: Opens the dltHub dataset browser to confirm the loaded data, completing the onboarding checklist. - Use Case: A new user who just ran uvx dlthub-start says "deploy the pipeline" and is walked through deployment, execution, and visual confirmation of their first dltHub pipeline run. ## Quick Start Ask the agent to deploy and run the sample pipeline to finish your dltHub onboarding.

Frequently Asked Questions about deploy-run-sample-pipeline

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

FAQPage Schema
How do I deploy and run the sample dltHub pipeline after onboarding?▼

Run `uv run dlthub deploy` to deploy pipeline.py, then execute `uv run dlthub run load_sample_shop -f` to run it with streamed logs. The CLI prints a run_url linking to the run on dltHub Platform.

What does the dlthub-start sample pipeline do?▼

The pre-shipped pipeline.py loads data from the Jaffle Shop API into a dltHub-hosted playground cloud data warehouse. The playground destination requires no credentials or configuration and is intended for onboarding use only.

Why does my dltHub pipeline run fail with a workspace connection error?▼

The workspace is either not connected or connected to the wrong one. Run `uv run dlthub workspace list` to see available workspaces, then connect to your personal playground workspace with `uv run dlthub workspace connect <workspace_id>`.

When should I not use the deploy-run-sample-pipeline skill?▼

Do not use it when pipeline.py is missing from the project root, or when scaffolding, dltHub login, or playground workspace connection have not been completed. It is scoped to the onboarding flow only.

What happens after the dltHub onboarding pipeline run completes?▼

The skill opens the dltHub dataset browser via .scripts/show_notebook.py so you can inspect the loaded data. Afterwards you can start a new project with `uvx dlthub-init@latest` in a fresh session to build your own pipeline.

Related Skills

Explore More Data & Analytics Skills→
aminojaghaminojagh

setup-runtime

Verifies and configures a dlthub workspace for dltHub Platform deployment.

Community
Intermediate
aminojaghaminojagh

create-rest-api-pipeline

Scaffolds and configures a dlt REST API pipeline with a single endpoint.

Community
Intermediate
aminojaghaminojagh

debug-deployment

Diagnose failed dltHub Platform deployment jobs using status, logs, and run inspection commands.

Community
Intermediate
aminojaghaminojagh

create-filesystem-pipeline

Creates a dlt pipeline that loads CSV, Parquet, or JSONL files from local or cloud storage into a destination.

Community
Advanced