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Quickstart

Get Starlake Skills running in under 5 minutes.

Prerequisites​

  • An AI coding assistant: Claude Code, GitHub Copilot, or Gemini CLI (examples below use Claude Code syntax)
  • A Starlake project (or use bootstrap to create one)

Step 1: Install the Skills​

Downloads the latest GitHub Release and links the skills into Claude Code, GitHub Copilot, and Gemini CLI. No git or Node required:

curl -fsSL https://raw.githubusercontent.com/starlake-ai/starlake-skills/main/scripts/install-remote.sh | bash

On Windows, use scripts/install-remote.ps1. Pass --pin vX.Y.Z for an exact release, or --platforms claude to install for one assistant only.

From a Git Clone (contributors)​

Skills are symlinked from the clone, so edits and git pull are live immediately:

git clone https://github.com/starlake-ai/starlake-skills.git ~/.starlake-skills
~/.starlake-skills/scripts/install.sh

Add --local to install into the current project instead of your home directory.

Step 2: Verify Installation​

Open your assistant and ask:

You: What Starlake skills are available?

Claude will list the available skills organized by category.

Step 3: Try Your First Skill​

Bootstrap a new project​

You: /bootstrap a new Starlake project targeting DuckDB

Claude will generate a complete project structure with:

  • metadata/application.sl.yml — Global configuration
  • metadata/types/default.sl.yml — Type definitions
  • metadata/env.sl.yml — Environment variables
  • Sample domain and table configurations

Load data​

You: /load Help me configure loading CSV files into a "customers" domain
     with columns: id, name, email, created_at

Claude will create the domain config and table schema YAML files with appropriate types, write strategy, and sink configuration.

Generate DAGs​

You: /dag-generate Create Airflow DAGs for all my domains with a daily schedule

Claude will generate Python DAG files for Apache Airflow based on your pipeline configuration.

Step 4: Explore More​

Try these common workflows:

TaskCommand
Validate project/validate
Column lineage/col-lineage
Extract schema from DB/extract-schema
Configure connections/connection
Data quality checks/expectations
Security policies/secure

Updating​

Release installs: re-run the quick-install one-liner. Git clones: git pull, then scripts/install.sh --update if skills were added or removed. Check the installed version any time with scripts/install.sh --version.

Next Steps​