GCP Cloud Architect
alirezarezvani/claude-skills
Design GCP architectures for startups and enterprises. An agent skill from alirezarezvani/claude-skills.
Design, review, and validate Google Cloud (GCP) architectures.
Install GCP Cloud Architect
$ npx skills add borghei/Claude-Skills --skill gcp-cloud-architect -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install borghei/Claude-Skills gcp-cloud-architect --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/gcp-cloud-architect .claude/skills/gcp-cloud-architect && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "gcp-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/gcp-cloud-architect into .claude/skills/gcp-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-cloud-architect", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/borghei/Claude-Skills/tree/main/engineering/gcp-cloud-architectType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add borghei/Claude-Skills --skill gcp-cloud-architect -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install borghei/Claude-Skills gcp-cloud-architect --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/engineering/gcp-cloud-architect .agents/skills/gcp-cloud-architect && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gcp-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/gcp-cloud-architect into .agents/skills/gcp-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-cloud-architect", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill gcp-cloud-architect -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install borghei/Claude-Skills gcp-cloud-architect --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/engineering/gcp-cloud-architect .cursor/skills/gcp-cloud-architect && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gcp-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/gcp-cloud-architect into .cursor/skills/gcp-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-cloud-architect", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/borghei/Claude-Skills.git --path engineering/gcp-cloud-architect--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add borghei/Claude-Skills --skill gcp-cloud-architect -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install borghei/Claude-Skills gcp-cloud-architect --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/engineering/gcp-cloud-architect .gemini/skills/gcp-cloud-architect && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gcp-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/gcp-cloud-architect into .gemini/skills/gcp-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-cloud-architect", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install borghei/Claude-Skills gcp-cloud-architectInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add borghei/Claude-Skills --skill gcp-cloud-architect -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/engineering/gcp-cloud-architect .github/skills/gcp-cloud-architect && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gcp-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/gcp-cloud-architect into .github/skills/gcp-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-cloud-architect", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add borghei/Claude-Skills --skill gcp-cloud-architect -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install borghei/Claude-Skills gcp-cloud-architect --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/engineering/gcp-cloud-architect .opencode/skills/gcp-cloud-architect && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gcp-cloud-architect" agent skill from https://github.com/borghei/Claude-Skills/tree/main/engineering/gcp-cloud-architect into .opencode/skills/gcp-cloud-architect/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gcp-cloud-architect", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
gcp-cloud-architect- GitHub stars
- 881
- Token cost
- ~1.6k tokens
- SKILL.md length
- 598 words
- Files
- 10 (incl. scripts, references)
- Skills in repo
- 349
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design, review, and validate Google Cloud (GCP) architectures.
- Choosing GCP compute
- SKILL.md covers Core Capabilities, When to Use, Clarify First and Tools, plus 2 more sections
- Runs Python scripts from its folder; calls python
- Identity services
What it does
GCP Cloud Architect is an agent skill from borghei/Claude-Skills. Design, review, and validate Google Cloud (GCP) architectures. Use when choosing GCP compute, storage, networking, or identity services, or applying the Google Cloud Architecture Framework (reliability, security, cost, performance).
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `references/caf-cost-and-workflows.md`, `references/decision-trees.md` and `references/gcp-cost-optimization.md`).
It sits in DevOps & Cloud, covering Cloud architecture. It works with Google Cloud, Cloud Run and Google Kubernetes Engine. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.
When your agent uses it
- Choosing GCP compute
- Identity services
- Applying the Google Cloud Architecture Framework (reliability
Example prompts
- “/gcp-cloud-architect”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 4a698e8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
GCP Cloud Architect loads about 1.6k tokens when it runs, and up to ~15k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 598 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 598 words, ~1,563 tokens.
Download SKILL.mdSave it as
.claude/skills/gcp-cloud-architect/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.- name
- gcp-cloud-architect
- description
- Design, review, and validate Google Cloud (GCP) architectures. Use when choosing GCP compute, storage, networking, or identity services, or applying the Google Cloud Architecture Framework (reliability, security, cost, performance).
- license
- MIT + Commons Clause
- metadata.version
- 1.1.0
- metadata.author
- borghei
- metadata.category
- engineering
- metadata.domain
- engineering
- metadata.updated
- 2026-06-17
- metadata.tags
- gcp, google-cloud, architecture, cloud-architecture-framework, gke, cloud-run, bigquery, iam, networking, cost-optimization
GCP Cloud Architect
End-to-end GCP-specific architecture: service selection, Google Cloud Architecture Framework assessment, identity and networking patterns, cost optimization, operational defaults. Provider-specific complement to our generic senior-cloud-architect skill — that one covers cross-cloud patterns; this one knows when to pick Spanner over Cloud SQL, how Workload Identity Federation differs from Service Account keys, and the right Cloud Run vs GKE call.
Core Capabilities
- Compute selection — decision tree across GKE (Autopilot/Standard), Cloud Run, Cloud Functions, Cloud Run Jobs, Batch, Compute Engine, and Vertex AI.
- Data store selection — decision tree across Cloud SQL, Spanner, Firestore, Bigtable, Memorystore, Cloud Storage, and BigQuery.
- Networking — VPC, Private Service Connect, Interconnect/VPN, load-balancer choices, Shared VPC, peering, Cloud Armor, hub-and-spoke.
- Identity — IAM, Service Accounts, Workload Identity (GKE) and Workload Identity Federation, ADC, and least-privilege role/scope binding.
- CAF assessment — score workloads against the five Cloud Architecture Framework pillars.
- Cost optimization — biggest-to-smallest cost levers (right-sizing, CUDs/SUDs, autoscaling, preemptibles, tiering, slots) and cost anti-patterns.
- Workflows — design a new workload, review an existing architecture, and migrate from AWS/Azure to GCP.
When to Use
| Situation | Skill applies |
|---|---|
| Designing a GCP architecture from scratch | Yes — start with compute decision tree |
| Reviewing an existing GCP architecture | Yes — run CAF assessment via scripts/gcp_caf_scorer.py |
| Validating a Terraform / Deployment Manager plan | Yes — scripts/gcp_architecture_validator.py |
| Estimating GCP cost for a workload | Yes — scripts/gcp_cost_estimator.py |
| Picking between GKE / Cloud Run / Functions / Cloud Run Jobs | Yes — see compute decision tree |
| Setting up IAM / Workload Identity correctly | Yes — see identity reference |
| Designing multi-region / multi-zone resilience | Yes — see reliability reference |
| Picking Cloud SQL vs Spanner vs Firestore vs BigQuery | Yes — see data store decision tree |
| Going to production without CAF review | Don't — run the CAF scorer first |
Clarify First
Before designing or assessing, confirm these inputs. If any is unknown or vague, ASK — do not assume:
- Task — design from scratch, review an existing architecture, validate IaC, or estimate cost (selects
gcp_architecture_validator.pyvsgcp_cost_estimator.pyvsgcp_caf_scorer.py) - Workload spec — the YAML workload config, or the Terraform/Deployment Manager files (the input the scripts parse)
- Priority pillar — reliability, security, cost, operational excellence, or performance (weights the CAF assessment and which recommendations lead)
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
Show full SKILL.md (226 more words)Show less
Tools
| Tool | Purpose | Command |
|---|---|---|
gcp_architecture_validator.py | Validate a Terraform plan or YAML workload spec for anti-patterns | python scripts/gcp_architecture_validator.py --terraform ./infra/*.tf |
gcp_cost_estimator.py | Estimate monthly GCP cost from a workload spec, with optimization opportunities | python scripts/gcp_cost_estimator.py --workload-config workload.yaml |
gcp_caf_scorer.py | Score a workload against the five Cloud Architecture Framework pillars | python scripts/gcp_caf_scorer.py --workload-config workload.yaml |
References
Load the reference that matches the task — keep this file lean and pull detail on demand:
- references/decision-trees.md — the full compute decision tree and the data store decision tree. Read when selecting compute or storage.
- references/networking-and-identity.md — VPC/PSC/Interconnect building blocks, the load-balancer matrix, common networking patterns, and the IAM / Service Account / Workload Identity (Federation) patterns with least-privilege guidance. Read when designing networking or identity.
- references/caf-cost-and-workflows.md — the five CAF pillars, the cost-lever and cost-anti-pattern catalog, all three end-to-end workflows (design/review/migrate), the GCP-specific anti-patterns, and the script tooling-output table. Read when assessing, optimizing, or running a workflow.
- references/gcp-services-reference.md — per-service depth: tiers, SLAs, limits, when to upgrade. Read when sizing a specific service.
- references/gcp-well-architected.md — the 5-pillar CAF assessment with a 10-question checklist per pillar, common findings, and remediation patterns. Read during a CAF review.
- references/gcp-cost-optimization.md — the full cost-lever catalog, anti-patterns, and detection heuristics. Read when driving down spend.
Related skills
engineering/senior-cloud-architect— generic multi-cloud architecture patternsengineering/aws-solution-architect— AWS counterpartengineering/azure-cloud-architect— Azure counterpartengineering/kubernetes-operator— for GKE operator-pattern workloadsra-qm-team/information-security-manager-iso27001— compliance-mapped controls (GCP has Security Command Center)ra-qm-team/soc2-compliance-expert— GCP-specific SOC 2 evidence collection
© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 9 other files (scripts, references) in engineering/gcp-cloud-architect of borghei/Claude-Skills.
- SKILL.md
- references/caf-cost-and-workflows.md
- references/decision-trees.md
- references/gcp-cost-optimization.md
- references/gcp-services-reference.md
- references/gcp-well-architected.md
- references/networking-and-identity.md
- scripts/gcp_architecture_validator.py
- scripts/gcp_caf_scorer.py
- scripts/gcp_cost_estimator.py
Open the folder on GitHubat commit 4a698e8
Compare with similar skills
GCP Cloud Architect next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| GCP Cloud Architect this skillborghei/Claude-Skills | 881 | — | ~1.6k | Automated safety check: Pass | MIT | |
| GCP Cloud Architectalirezarezvani/claude-skills | 28k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Devopsnicepkg/auto-company | 192 | 2 repos | ~814 | Automated safety check: Pass | MIT | |
| GCP DrawIO Diagram Generatora5c-ai/babysitter | 1.8k | — | ~3.7k | Automated safety check: Pass | MIT | |
| Google Agents CLI Publishpifferologo/cloud-agents-cli | 129 | 1 repos | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| DeployingGoogleCloudPlatform/race-condition | 234 | — | ~3k | Automated safety check: Pass | Custom licence |
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Questions about GCP Cloud Architect
What does GCP Cloud Architect do?
Design, review, and validate Google Cloud (GCP) architectures. GCP Cloud Architect is an agent skill from borghei/Claude-Skills. Design, review, and validate Google Cloud (GCP) architectures.
When should I use GCP Cloud Architect?
GCP Cloud Architect fits situations like: choosing GCP compute; identity services; applying the Google Cloud Architecture Framework (reliability.
How do I install GCP Cloud Architect in Claude Code?
Run `npx skills add borghei/Claude-Skills --skill gcp-cloud-architect -a claude-code`. Or copy the skill folder (engineering/gcp-cloud-architect in borghei/Claude-Skills) into .claude/skills/gcp-cloud-architect in your project. Claude Code loads it when a task matches its description.
How do I install GCP Cloud Architect in Codex?
Run `npx skills add borghei/Claude-Skills --skill gcp-cloud-architect -a codex`. Or copy the skill folder (engineering/gcp-cloud-architect in borghei/Claude-Skills) into .agents/skills/gcp-cloud-architect in your project. Codex loads it when a task matches its description.
Can I use GCP Cloud Architect in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill gcp-cloud-architect -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gcp-cloud-architect, .gemini/skills/gcp-cloud-architect, .github/skills/gcp-cloud-architect and .opencode/skills/gcp-cloud-architect in your project.
What does GCP Cloud Architect need to run?
Going by SKILL.md and its folder, GCP Cloud Architect needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does GCP Cloud Architect access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is GCP Cloud Architect safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does GCP Cloud Architect use?
GCP Cloud Architect is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does GCP Cloud Architect use?
About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 14k tokens, read only when the agent opens those files.
What are the alternatives to GCP Cloud Architect?
Skills that share tags, products or a category with GCP Cloud Architect: GCP Cloud Architect (alirezarezvani/claude-skills, 28k stars), Devops (nicepkg/auto-company, 192 stars), GCP DrawIO Diagram Generator (a5c-ai/babysitter, 1.8k stars) and Google Agents CLI Publish (pifferologo/cloud-agents-cli, 129 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains GCP Cloud Architect?
borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 881 GitHub stars. The repository holds 349 skills in this directory. The repository was last updated on October 7, 2026.
Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.