looker-skills

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.

Master developer skill for auditing, diagnosing, and optimizing query performance in Looker projects. Enforces caching alignment, PDT materialization strategies, and parallel subagent SQL profiling.

Use this skill to create Access Grants for row-level or object-level security.

Use this skill when you need to create or modify a LookML Explore. This includes defining the Explore, joins, access grants, and basic configuration.

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 to use Liquid variables in LookML for dynamic SQL, HTML, and Links, including advanced patterns for query optimization.

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.

Guidelines for LookML modeling and command execution.

Deep dive into LookML includes, refinements (layering), and project structure best practices. Essential for mastering Looker's object-oriented capabilities.

Guide to using LookML sets for grouping fields, controlling visibility, and managing drill paths.

Standards and best practices for writing LookML tests to ensure data integrity, accuracy, and logic validation.

Use this skill to create or modify LookML Views. Covers basic view definitions, sql_table_name, file organization, and patterns.

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`).