Jak używać
- Skopiuj polecenie instalacji i sprawdź źródła przed instalacją we własnym środowisku agenta.
- W oryginale sprawdź wymagane narzędzia, dane dostępowe i obsługiwane środowiska.
- Opisz dane wejściowe i oczekiwany rezultat; porównaj wynik ze źródłami.
npx skills add https://github.com/looker-open-source/looker-skills --skill looker-developer-onboardingPrzed rozpoczęciem
- Instalacja nie obejmuje subskrypcji modelu, limitu API ani uprawnień do plików.
- Gwiazdki i instalacje pokazują aktywność, a nie niezależny test jakości lub bezpieczeństwa.
Treść z repozytorium z zachowaniem nagłówków, przykładów, kodu, tabel, linków i obrazów.
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.
