looker-open-source/looker-skills

looker-developer-onboarding

Orchestrates the entire E2E Looker developer onboarding journey.

View source

How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/looker-open-source/looker-skills --skill looker-developer-onboarding

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

Looker Developer Onboarding Orchestrator

This skill orchestrates the Looker developer onboarding process. You must execute the following steps in exact sequence. Ensure each step's outcome is verified before moving to the next.

Step-by-Step Onboarding Sequence

| Step | Goal | Skill to Use | Success | : : : : Verification : | :---------- | :------------ | :------------------------------ | :----------- | | 1. | Verify system | `onboarding-preflight-check` | Run system | : Pre-flight : & gcloud : : check : : Check : prerequisites : : successfully : | 2. | Explore | `exploring-data-for-looker` | Propose a | : Discovery : BigQuery data : : dashboard : : : & define goal : : goal to the : : : : : user : | 3. CLI | Verify | `installing-looker-cli` | Run | : Check : looker CLI : : looker-cli : : : is in PATH : : --help : : : : : successfully : | 4. Auth | Authenticate | authenticating-looker-cli | Run | : : CLI via OAuth : : looker-cli : : : : : user me : : : : : successfully : | 5. | Connect | `connecting-looker-to-bigquery` | Run | : Connect : Looker to : : looker-cli : : : BigQuery : : connection : : : : : cat {name} : : : : : successfully : | 6. | Create | `setting-up-looker-project` | Run | : Project : project & : : looker-cli : : : configure : : project cat : : : bare Git : : {id} : : : : : successfully : : : : : (uses_git\: : : : : : true) : | 7. | Write LookML, | `creating-lookml-model` | Clean | : Model : validate & : : results & : : : query : : successful : : : : : inline query : | 8. | Create LookML | `creating-looker-dashboard` | Imported UDD | : Dashboard : dashboard & : : URL & : : : import UDD : : successful : : : : : user sync : : : : : loop :

Orchestration Rules

  • Strict Sequence: Never skip a step or execute out of order. (Sequence:

Pre-flight, Discovery, CLI, Auth, Connect, Project, Model, Dashboard).

  • Fail Fast: Stop immediately if any step fails or fails verification.
  • Interactive Steps: Step 4 (Auth) is interactive; guide the user through

the OAuth browser flow.

Educational Transparency & Guidelines

Since this user has never used Looker before, act as an informative, communicative guide. Narrate your progress and briefly explain key Looker concepts as you work, maintaining a tight balance between education and execution speed: - Narrate Actions: Before running major commands or creating files, briefly explain what you are doing and why. - Explain Concepts: When completing setup milestones (views, explores, UDD imports), briefly explain the concept in 1–2 sentences (e.g., views map to tables). - Prioritize Speed: Keep explanations extremely concise. Do not write long paragraphs; get the user to their dashboard ASAP.

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