google-cloud-storage-bucket-architect
Skill from gemini-cli-extensions/google-cloud-storage
Install
npx skills add gemini-cli-extensions/google-cloud-storage --skill google-cloud-storage-bucket-architect
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
As a Claude Code plugin
/plugin marketplace add anthropics/claude-plugins-official
/plugin install google-cloud-storage@google-cloud-storage
This skill is part of the plugin “google-cloud-storage”. In Claude Code the plugin installs it together with the plugin’s other skills, commands and hooks.
What does the google-cloud-storage-bucket-architect skill do?
Description from the SKILL.md in the source repository.
Questions about google-cloud-storage-bucket-architect
What does the google-cloud-storage-bucket-architect skill do?
Creates Cloud Storage (Google Cloud Storage, or GCS) buckets. Analyzes the workload (sensitive data, media hosting, ingestion, web hosting, archiving, backup, logging, analytics, AI/ML, or general-purpose), validates project-level security settings, and designs a secure-by-default, cost-effective configuration (location, storage class, uniform bucket-level access, public access prevention, soft delete, lifecycle) before creating it. Use whenever a user wants to create, make, set up, provision, or spin up a bucket, or needs object storage for an app, service, pipeline, or dataset — even a "simple" or "default" bucket, or when bucket creation is one step in a larger workflow. Outputs or executes the creation via gcloud, the JSON/REST API, Terraform, or SDK client libraries (C++, Java, Python, Go). Don't use for anything other than creating new buckets — for uploads, downloads, access changes, or reconfiguring existing buckets, use google-cloud-storage-basics.
How do I install google-cloud-storage-bucket-architect?
In a terminal: npx skills add gemini-cli-extensions/google-cloud-storage --skill google-cloud-storage-bucket-architect. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use google-cloud-storage-bucket-architect?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is google-cloud-storage-bucket-architect safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
More skills from gemini-cli-extensions/google-cloud-storage
Assesses the security posture of Google Cloud Storage (GCS) buckets and projects. Grounds every finding in gathered telemetry, evaluates buckets against Google security best practices (public access, IAM over-granting, CMEK, VPC Service Controls, audit logging), and correlates signals to flag toxic combinations of individually low-risk settings, with actionable remediation. Use whenever a user asks for a security scan, audit, review, vulnerability check, or compliance assessment (including SAIF) — or simply asks whether their buckets, project, or data are secure, exposed, public, or misconfigured, who can access their data, or wants storage hardened or locked down, e.g. before a launch. Don't use for diagnosing a specific access failure or 403, managing or configuring storage, investigating a live outage, or non-GCS resources (Compute Engine, GKE, etc.).
Stores, retrieves, and manages data as objects in Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Use when you need to interact with Cloud Storage — set up a Storage MCP server (remote or local Toolbox), create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes (Standard, Nearline, Coldline, Archive), manage lifecycle and cost, protect data (versioning, CMEK, retention, Bucket Lock, holds, soft delete), host static websites, trigger Pub/Sub notifications, mount buckets (gcsfuse), or optimize performance. Covers gcloud storage / gsutil, JSON/XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for generic MCP setup that doesn't mention Cloud Storage, other MCP servers, block storage (Persistent Disk), BigQuery, or databases (Cloud SQL, Spanner, Bigtable, Firestore).
Troubleshoots and diagnoses Cloud Storage on Google Cloud (also known colloquially as GCS) errors, 403 Permission Denied or Insufficient Permission denials, and access control conflicts. Use whenever a user encounters or asks to analyze a 403 error on a bucket or object — including analysis-only questions where no commands are run — or needs help with IAM bindings, fine-grained ACLs, Uniform Bucket-Level Access (UBLA), getIamPolicy inspection denials and least-privilege inspection roles, browser storage.cloud.google.com Cookieauth and Data Access Audit Logging conflicts, Signed URL SignatureDoesNotMatch errors, VPC Service Controls (VPC-SC) perimeters, explicit IAM Deny policies, Bucket IP Filtering, Requester Pays, Retention Policy locks, Compute Engine VM access scopes, Application Default Credentials (ADC) mismatches, recursive delete permissions, or recreated service accounts. Don't use for creating buckets, routine uploads/downloads, proactive security audits, or Cloud Storage FUSE mounts.
Mounts Cloud Storage buckets as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when you need to interact with gcsfuse — decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run, enable and size the file, stat, and list caches, tune mount flags (--implicit-dirs) or config-file settings, apply workload profiles, keep ML checkpointing safe (rename atomicity, hierarchical namespace, close-time finalization, concurrent writers), or diagnose slow training, low throughput, or GCS bill spikes on existing mounts with gcsfuse metrics. Covers mount semantics, the gcsfuse CLI and config file, the GKE gcsfuse CSI driver (Workload Identity principal:// bindings, profile StorageClasses, sidecar sizing), and Cloud Run volume mounts. Don't use for bucket administration or data management without a mount (google-cloud-storage-basics) or for fully POSIX-compliant shared file systems (Filestore, Managed Lustre; use gke-storage).
Experimental, generic, and powerful skill for token-efficient search, semantic navigation, and progressive disclosure of unstructured or semi-structured objects (PDFs, logs, JSON/CSV dumps, media, large documents) in Google Cloud Storage (GCS) using the Open Knowledge Format (OKF). Beyond basic retrieval, agents can creatively apply this skill to a broad spectrum of search and reasoning tasks, including: (1) high-precision search and point-queries within large objects without loading full content into context; (2) multi-hop cross-document search and synthesis across multiple cloud objects; (3) searching and temporal reasoning across chronologically partitioned log streams, audit trails, and incident timelines; and (4) creating reusable Table of Contents metadata for downstream agents. Use proactively whenever searching, querying, or interacting with gs:// URIs where full-object downloads would waste tokens, degrade context quality, or exceed window limits.
Related skills in DevOps & Cloud
The HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from build or render failures.
Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.
This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets, or binding an agent to an Agent Gateway. Covers deployment workflows, service accounts, rollback, and production infrastructure. Applies to any framework agents-cli deploys (ADK, LangChain, ...). Part of the agents-cli skills suite. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), evaluation (use google-agents-cli-eval), or project scaffolding (use google-agents-cli-scaffold).
This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the agents-cli skills suite. Covers `agents-cli scaffold create`, `scaffold enhance`, and `scaffold upgrade` commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (ADK projects: use google-agents-cli-adk-code) or deployment operations (use google-agents-cli-deploy).
This skill should be used when the user wants to "set up tracing", "monitor my agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed agents, including ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).
Deploy and operate apps on Prisma Compute with the Prisma 8 CLI. Use whenever the user mentions Prisma Compute, deploying or hosting a Prisma app, `prisma deploy`, `prisma dev module.ts`, Prisma Composer apps (`module.ts`, `compute()`, the `composer` section of `prisma.config.ts`), preview stages, deploy on push (`prisma git connect`, `prisma/cloud-deploy-action`), `prisma service` logs, versions, rollback, or custom domains, `project env`, `PRISMA_SERVICE_TOKEN`, regions, 504s, sleeping instances, or `waitUntil`; also when a project still uses the removed `@prisma/cli app deploy`, `prisma.compute.ts`, `defineComputeConfig`, `compute:deploy`, or `build logs` surface.
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
Provides foundational Firebase CLI setup, CLI installation, version checks (`firebase-tools@latest --version`), CLI login (including --no-localhost), project creation, project selection (`firebase use`), and app config file downloads (`google-services.json`, `GoogleService-Info.plist`). Use ONLY for CLI login, project creation/switching, or downloading app config files. Don't use for Firebase Hosting deploy, Firestore, Auth, App Hosting, Data Connect, Crashlytics, or Remote Config.