decomposer: generate deliverable files for Discover and structure the solution's functional requirements, non-functional requirements, constraints, assumptions, and open questions without selecting cloud products.; Select Google Cloud products from the confirmed requirements and produce the solution architecture, Mermaid diagram, architecture description, and Terraform infrastructure-as-code.; Validate the Terraform infrastructure and architecture artifacts without deploying resources by running formatting checks, Terraform validation, and a dry-run or plan-oriented deployment check.; Package the approved requirements, architecture, Mermaid diagram, Terraform IaC, and validation results into solution-architecture-guide.md in the gcp_solution_architecture_agent repository.; Verify that the gcp_solution_architecture_agent repository contains the packaged solution-architecture-guide.md with the approved workflow outputs.; Verify that the repository is derived from the workflow_agent template and implements the complete four-phase Google Cloud solution architecture workflow alongside the packaged guide.; Publish the verified gcp_solution_architecture_agent repository with its completed workflow implementation and solution architecture guide.; Verify that the published repository revision contains the completed workflow implementation and solution architecture guide.
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# Validation runbook
Run from the repository root without credentials:
```bash
terraform -chdir=terraform fmt -check -recursive
terraform -chdir=terraform init -backend=false
terraform -chdir=terraform validate
python3 scripts/validate_artifacts.py
python3 -m pytest -q
```
`init -backend=false` may download the pinned provider constraint but does not create infrastructure. Do not use `terraform apply` as part of validation. A deployment candidate additionally requires an operator-supplied `terraform plan -out=tfplan` and human review.