Looker Developer Onboarding: Step 3. Authenticates the Looker CLI using OAuth. Only execute this after Step 2 (CLI Verification using `installing-looker-cli`).
Looker Developer Onboarding: Step 4. Creates a database connection in Looker to Google BigQuery. Only execute this after Step 3 (CLI Authentication using `authenticating-looker-cli`).
Looker Developer Onboarding: Step 7 (Final Step). Creates a LookML dashboard in the project, imports it as a user-defined dashboard (UDD) in Looker, and iteratively refines it based on user feedback by syncing changes. Only execute this after Step 6 (Model Setup using `creating-lookml-model`).
Looker Developer Onboarding: Step 6. Creates LookML views and models based on the user's goals, maps model connections, validates LookML, and runs verification queries. Only execute this after Step 5 (Project Setup using `setting-up-looker-project`).
Looker Developer Onboarding: Step 1. Guides the agent to explore BigQuery data and define the onboarding goal. This is the first active step, to be executed immediately after reading the parent orchestrator `looker-developer-onboarding`.
Looker Developer Onboarding: Step 2. Verifies that the Looker CLI is available in the PATH, or installs it from GitHub Releases if missing. Only execute this after Step 1 (Data Discovery using `exploring-data-for-looker`).
Orchestrates the entire E2E Looker developer onboarding journey. This is the MUST-READ parent skill that coordinates the overall process. Start here when beginning a new Looker setup. It guides you to act as an informative, transparent guide, leading the user in sequence through: Pre-flight, Discovery, CLI, Auth, Connect, Project, Model, Dashboard.
Guide for connecting to and using the Looker MCP Server. Explains how to access the Looker MCP server, set up Looker-managed vs local/standalone deployment, configure OAuth authentication, and catalog available MCP tools.