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Deep knowledge about deploying applications to Google Cloud Platform (Cloud Run, App Engine, Compute Engine).
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Basé sur la classification professionnelle SOC
Deterministic AI development workflow orchestrator. Manages task boards (.jonggrang/jonggrang-tasks.json), runs 16-phase pipelines (BUGFIX/SMALL/MEDIUM/LARGE), installs lifecycle hooks for Claude Code and OpenCode, and coordinates five specialist roles (Lead/Developer/Reviewer/TestLead/Tester). Use when planning features, executing multi-step development workflows, or orchestrating AI coding agents. Run via npx jonggrang.
16-phase feature orchestration workflow. Runs in the main thread as Kernel Mode. Coordinates the Lead→Developer→Reviewer→TestLead→Tester assembly line.
Protocol for agents to write structured outputs that survive session resets and are findable by the orchestrator.
GitHub workflow automation with the gh CLI — pull requests, issues, releases, the REST/GraphQL API, and safe message escaping. Auth via GH_TOKEN (set in global settings, attached to the sandbox env).
GitLab workflow automation with the glab CLI — merge requests, issues, CI, releases, and safe message escaping. Auth via GITLAB_TOKEN (set in global settings, attached to the sandbox env).
Prevents premature exit and infinite loops. Three mechanisms: Completion Promises, Scratchpads, Loop Detection.
| name | gcp-deployment |
| description | Deep knowledge about deploying applications to Google Cloud Platform (Cloud Run, App Engine, Compute Engine). |
| type | transform |
| tier | library |
| domain | deploy |
| trigger | when deploying to GCP |
Deploying {{project_name}} ({{project_type}}) to Google Cloud Platform (GCP). You will follow a strict 6-phase Deployment Lifecycle Contract.
Execute the following phases in order:
GOOGLE_APPLICATION_CREDENTIALS environment variable is set to a valid service account key JSON file, or configure Workload Identity Federation (if inside CI/CD).gcloud auth activate-service-account --key-file=$GOOGLE_APPLICATION_CREDENTIALS.gcloud config set project <PROJECT_ID>.docker build -t gcr.io/<PROJECT_ID>/<APP_NAME> . or gcloud builds submit --tag gcr.io/<PROJECT_ID>/<APP_NAME>).app.yaml.npm run build.gsutil ls gs://<bucket-name>.gcloud services enable run.googleapis.com if using Cloud Run).gcloud run deploy <SERVICE_NAME> --image gcr.io/<PROJECT_ID>/<APP_NAME> --region <REGION> --platform managed.gcloud app deploy.gsutil rsync -R dist/ gs://<bucket-name>.curl and inspect gcloud logging read "resource.type=cloud_run_revision AND resource.labels.service_name=<SERVICE_NAME>" if it fails.gcloud run services update-traffic <SERVICE_NAME> --to-revisions=<PREVIOUS_REVISION_NAME>=100 --region <REGION>).gcloud app services set-traffic.