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deployment-ops

Guides CI/CD setup, deployment commands, observability, data ingestion, and Gemini Enterprise registration for Agent Starter Pack projects.

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ソース情報

リポジトリ
VectorSpaceLab/AREX-Skill
ソースの最終更新活動
2026年8月26日 16:31
検出された SKILL.md の言語
英語
スター
12
フォーク
2

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SKILL.md
ソースの指示 · 読み取り専用プレビュー
name
deployment-ops
description
Guides CI/CD setup, deployment commands, observability, data ingestion, and Gemini Enterprise registration for Agent Starter Pack projects.
metadata
{"disco-role":"operating"}
disable-model-invocation
true
license
Apache 2.0
# Deployment operations Use this sub-skill when the user is turning an Agent Starter Pack project into a deployable, observable, or registered cloud asset. ## Covers - `setup-cicd` and its Terraform/runner setup. - Generated-project deployment commands such as `make setup-dev-env`, `make setup-datastore`, `make deploy`, `make data-ingestion`, `make sync-data`, `make register-gemini-enterprise`, `make inspector`, and the related local-development targets. - Data ingestion, observability, and Gemini Enterprise registration guidance. - Cloud-provider prerequisites such as GitHub CLI, gcloud, Terraform, repository ownership, and generated deployment metadata. ## Excludes - New-project template selection belongs in `project-scaffolding`. - In-place project edits and upgrades belong in `project-maintenance`. ## Read first - `../../references/cli-reference.md` for command routing. - `../../references/package-overview.md` for install and sanity-check guidance. - `references/workflows.md` for the end-to-end deployment flow. - `references/ci-cd-reference.md` for `setup-cicd` details. - `references/generated-project-commands.md` for the generated Makefile command map. - `references/data-ingestion.md` for RAG and datastore setup. - `references/observability.md` for telemetry and BigQuery analytics. - `references/gemini-enterprise.md` for registration flows. - `references/troubleshooting.md` for cloud and auth failures. ## Common workflow 1. Confirm whether the user is asking about a generated project, not the source package itself. 2. Decide whether the task is CI/CD bootstrap, runtime deployment, data ingestion, observability, or Gemini Enterprise registration. 3. Check the relevant generated-project command or cloud prerequisite before suggesting a fix. 4. Use the sub-reference pages to explain the concrete command sequence and likely failure points. 5. Route project-generation questions back to `project-scaffolding` and project-maintenance questions back to `project-maintenance`. ## Useful signals - `setup-cicd`, `Terraform`, `Cloud Build`, `GitHub Actions`, `gcloud`, `gh`, `local-state` - `make deploy`, `make setup-dev-env`, `make data-ingestion`, `make sync-data`, `make inspector`, `make register-gemini-enterprise` - `agent_engine`, `cloud_run`, `gke`, `deployment_metadata.json`, `agent card`, `Gemini Enterprise` - `vertex_ai_search`, `vertex_ai_vector_search`, telemetry, Cloud Trace, BigQuery analytics, observability ## Validation mindset - Do not claim cloud readiness from package importability alone. - Distinguish local command discovery from live cloud provisioning. - Keep destructive cleanup, live-deployment, and credentialed operations out of the default path unless the user explicitly asks for them.
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