What it does
The looker-skills repository published by Google's Looker team. Twenty-four skills covering dashboards, LookML modeling and review, performance, onboarding and the Looker CLI. Requires a Looker instance and the CLI; the onboarding path expects BigQuery. Apache 2.0. Google has not reviewed or endorsed this listing.
Skills in this package 24
- authenticating-looker-cli
Looker Developer Onboarding: Step 3. Authenticates the Looker CLI using OAuth. Only execute this after Step 2 (CLI Verification using `installing-looker-cli`).
- connecting-looker-to-bigquery
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`).
- creating-looker-dashboard
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`).
- 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`).
- exploring-data-for-looker
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`.
- installing-looker-cli
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`).
- looker-architect
Master developer skill for scaffolding, building, refactoring, validating, and auditing enterprise LookML projects. Enforces raw/refined separation, functional sequencing, and advanced drilling configurations.
- looker-developer-onboarding
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.
Show all 24 skills
- looker-mcp-skill
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.
- looker-performance-optimizer
Master developer skill for auditing, diagnosing, and optimizing query performance in Looker projects. Enforces caching alignment, PDT materialization strategies, and parallel subagent SQL profiling.
- lookml-access-grants
Use this skill to create Access Grants for row-level or object-level security.
- lookml-explore
Use this skill when you need to create or modify a LookML Explore. This includes defining the Explore, joins, access grants, and basic configuration.
- lookml-fields
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.
- lookml-liquid
Use this skill to use Liquid variables in LookML for dynamic SQL, HTML, and Links, including advanced patterns for query optimization.
- lookml-model
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.
- lookml-modeling-guidelines
Guidelines for LookML modeling and command execution.
- lookml-refinements
Deep dive into LookML includes, refinements (layering), and project structure best practices. Essential for mastering Looker's object-oriented capabilities.
- lookml-reviewer
Review a LookML codebase or file to confirm its compliance with official best practices and style guidelines using the Looker CLI (looker-cli). Use this skill whenever the user asks to review, audit, check, or critique LookML code or a LookML project.
- lookml-sets
Guide to using LookML sets for grouping fields, controlling visibility, and managing drill paths.
- lookml-tests
Standards and best practices for writing LookML tests to ensure data integrity, accuracy, and logic validation.
- lookml-view
Use this skill to create or modify LookML Views. Covers basic view definitions, sql_table_name, file organization, and patterns.
- onboarding-preflight-check
Looker Developer Onboarding: Step 1. Verifies system prerequisites (gcloud, bq, write permissions) and resolves issues by installing components or prompting the user to authenticate.
- setting-up-looker-project
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`).
- using-looker-cli
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`).
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