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looker-expert

Generate LookML views, models, and dashboards for Looker BI.

Updated Feb 27, 2026
Search Tags:#analytics#dashboards#data modeling#bi#looker#lookml
One-click install
npx skills add https://github.com/JonathanMitchell1234/Stock-Swing-Trading-Bot --skill looker-expert-jonathanmitchell1234
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: looker-expert
Source: https://github.com/JonathanMitchell1234/Stock-Swing-Trading-Bot/tree/main/.agents/skills/looker-expert
Command: npx skills add https://github.com/JonathanMitchell1234/Stock-Swing-Trading-Bot --skill looker-expert-jonathanmitchell1234

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires looker-sdk, and includes references (resource) components.

What problem does it solve?

This Skill empowers users to build, optimize, and understand complex Looker BI solutions, enabling efficient data analysis and robust data modeling.

Core Features & Use Cases

  • LookML Development: Create and maintain Views, Models, and Explores with best practices.
  • Data Modeling: Design efficient Persistent Derived Tables (PDTs) and semantic models.
  • Dashboard Creation: Build interactive and informative dashboards for business insights.
  • Use Case: A data analyst needs to create a new sales performance dashboard in Looker. They can use this Skill to generate the necessary LookML for sales data, define measures for revenue and order volume, and set up a dashboard with relevant visualizations.

Quick Start

Use the looker-expert skill to generate a LookML view definition for a 'products' table with dimensions for 'name', 'category', and 'price', and a measure for 'total_revenue'.

Frequently Asked Questions about looker-expert

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a LookML view definition with dimensions and measures?▼

To generate LookML views, define dimensions and measures within the view file, mapping them to your database columns. This creates the semantic model needed for Looker explores and self-service analytics.

How do I create interactive Looker dashboards for business insights?▼

Creating Looker dashboards involves using your defined LookML explores to add visualizations and filters. This builds interactive dashboards that surface business insights from your underlying data model.

What is the best way to design Persistent Derived Tables in LookML?▼

Designing Persistent Derived Tables (PDTs) in LookML involves writing SQL to pre-compute complex transformations. This optimizes query performance by caching the derived results within your Looker data model.

How do I set up access control and explores in Looker BI?▼

Setting up access control in Looker BI involves defining user attributes and model access grants within LookML. This restricts explore visibility to ensure secure, role-based self-service analytics.

Can I use the Looker SDK to automate LookML development tasks?▼

The Looker SDK allows you to programmatically interact with Looker BI infrastructure. It supports automating LookML development workflows, accessing explores via API, and integrating analytics into external applications.

Why are my Looker BI dashboard queries running slowly?▼

Slow Looker BI dashboard queries often result from inefficient LookML data modeling. Optimizing measures, leveraging Persistent Derived Tables (PDTs), and restructuring explores improves query performance and maintainability.

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