This repository contains a collection of "skills" designed to assist AI agents and developers in writing high-quality, standardized LookML code and guiding them through Looker onboarding. Each skill encapsulates specific instructions, best practices, and examples for different aspects of Looker development.
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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…
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.
Overview of LookML field types (Dimension, Measure, Filter, Parameter) and the role of the sql parameter in each. Use this skill to choose the right field type for your data modeling needs.
Use this skill when you need to create or modify a LookML Model file (.model.lkml). This includes defining connections, includes, and configuring model-level settings.
Deep dive into LookML includes, refinements (layering), and project structure best practices. Essential for mastering Looker's object-oriented capabilities.
Looker Developer Onboarding: Step 1. Verifies system prerequisites (gcloud, bq, write permissions) and resolves issues by installing components or prompting the user to authenticate.
Looker Developer Onboarding: Step 5. Creates a new Looker project and configures Git. Only execute this after Step 4 (BigQuery Connection using connecting-looker-to-bigquery).
Comprehensive guide for using looker-cli. Covers profile setup and defaults, using the --profile flag, persistent logins (session login), command discovery (meta tree & meta search), and request body inspection (--describe-body & --template).