google/google-cloud-solution-architecture
>- Interactively discovers requirements for a specific cloud workload and generates design recommendations and architectural guidance to build a multi-product solution in Google Cloud. Use this skill for holistic, end-to-end design recommendations and architectural guidance for complex, multi-product workloads on Google Cloud for specific use cases. Don't use this skill when other specialized skills (e.g., product-specific or google-cloud-recipe-*) directly address the user's workload or use case.
npx skills add https://github.com/google/skills --skill google-cloud-solution-architecture
The workflow consists of the following phases:
the cloud workload or use case that the user needs assistance for.
in Phase 1 to generate a detailed solution architecture for the cloud
workload or use case.
solution, generate validation instructions and scripts, and run the
validation.
content and present the solution.
Important notes about the workflow:
you ask the user clarifying questions, don't recommend, propose, or outline
any architectural designs, technical decompositions, cloud services, or
component mappings. Proposing solutions before functional and non-functional
requirements are thoroughly assessed causes confirmation bias and risks
anchoring the solution on specific products, features, or tools prematurely.
workflow (technical decompositions, product recommendations, diagrams,
architectural descriptions, and deployment scripts), explicitly present your
output to the user for approval. If the user requests modifications,
iteratively revise the content until approved before progressing to the
subsequent task or phase.
specific phase or task in this workflow is already completed or approved
(e.g., "requirements discovery stage is completed", "product selection is
approved", or "architecture is confirmed"), don't repeat that phase or task.
Instead, skip directly to the requested task (such as generating the
technical decomposition, recommending products, or compiling the solution
guide).
which the user needs assistance.
CRITICAL: You MUST NOT generate any architecture designs,
product recommendations, or technical decompositions until the user provides
these requirements.
activities, and use cases of their workload.
security, privacy, compliance, reliability, disaster recovery, cost,
operations, performance, and sustainability.
you MUST ask the user to describe the requirements and explicitly explain
why they are important (e.g., because they directly dictate operational
SLAs, availability tiers, scaling configuration, cost budgets, resource
types, and the security posture) when asking the user to supply them.
on other cloud providers or on-premises (if yes, prompt for the architecture
of the existing deployment).
their application and other workloads, products, systems, or tools.
are any ambiguities or contradictions (e.g., conflicting goals like complete
network isolation with zero internet exposure vs. real-time ingestion from
public APIs).
If you identify any ambiguities or contradictions in the user's requirements,
you must:
satisfied.
resolve the ambiguities and contradictions.
"do what you think is best" or "you decide"), then provide a clear
suggestion to resolve the ambiguity or contradiction, explain your
reasoning, and ask the user to approve your suggestion.
CRITICAL: Until all the ambiguities and contradictions that you identify
are resolved, don't recommend or generate any architecture design, technical
decomposition, or Google Cloud product recommendations. Ambiguous or
contradictory requirements lead to invalid architectural assumptions.
breaks down the solution into logical components. Present it to the user and
obtain approval before proceeding to Phase 2.
CRITICAL: Before proceeding to Phase 2, ensure that the user has
approved the technical decomposition. Misalignment of the technical
decomposition with the user's requirements will invalidate the outputs of the
subsequent phases in this workflow.
Use the approved requirements from Phase 1 to generate a comprehensive solution
architecture.
For each task in this phase, to ensure that the generated content aligns with
the latest and official Google Cloud guidance, you must ground the generated
content by using the following resources:
developerknowledge:search_documentsdeveloperknowledge:get_documentsdeveloperknowledge:answer_querytechnology category of the workload: references/architecture-guides.md
the workload: references/decision-making-guides.md
the workload: references/best-practices-guides.md
For each item in the generated guidance, you must include citations to the
relevant official Google Cloud documentation pages.
of the user's workload.
CRITICAL:
decommissioned, or unsupported. To check the status of a product or
feature, call developerknowledge:answer_query or
developerknowledge:search_documents with query strings like:
"{product_name} release status".
workload, then do the following:
products exist, the relevant product documentation might provide guidance
on when to choose each product. Follow that guidance.
changes are needed.
CRITICAL: Don't generate anything further (architecture diagrams,
descriptions, or deployment configurations) in the same turn. Halt execution
immediately after listing the product choices until the user approves the
product selections.
proceeding to Task 2.3.
relationships between the components, and the task flow or data flow.
approval before proceeding to Task 2.4.
each component in the architecture based on the workload's requirements.
Important:
skills, as appropriate:
google-cloud-waf-securitygoogle-cloud-waf-reliabilitygoogle-cloud-waf-cost-optimizationgoogle-cloud-waf-operational-excellencegoogle-cloud-waf-performance-optimizationgoogle-cloud-waf-sustainabilityIf any of the specialized google-cloud-waf-* skills are not available in
your current workspace, derive design guidance directly from the
documentation references in references/best-practices-guides.md.
proceeding to Task 2.5.
instructions to enable the user to deploy the solution.
before proceeding to Phase 3.
and verify that it meets the workload's requirements without provisioning
live resources:
resources that will be provisioned using dry-run commands (e.g.,
terraform plan or (where supported) gcloud ... --dry-run).
network routing topologies, firewall rules, and IAM enforcement against
best practices.
the dry-run commands.
dry-run checks until validation succeeds.
live runtime verification, or skip directly to Phase 4.
verification commands (using tools like curl, ping, or gcloud)
and provide them to the user to execute, to test live endpoint
reachability, networking paths, and load balancer routing.
Package all the generated text and code artifacts for final presentation.
into a single Markdown file named solution-architecture-guide.md, based on
the template in assets/output-template.md.
workspace.
workspace.
Take google/google-cloud-solution-architecture from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.