GCP-specific infrastructure guidance: Terraform module patterns for VPC, GKE, Cloud SQL, Cloud Storage and Cloud Run, Workload Identity and CMEK defaults, and a full evidence-based GCP cost and labelling audit of a live project.
113 on GitHubby The Software Housev0.1.2MITupdated yesterdayplatform
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Plugin tsh-stack-gcp from marketplace tsh-agentic-collections in TheSoftwareHouse/agentic-collections. Commands read from the repo's manifest — today.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
What it installs
Skills (2)
auditing-gcp-cost
Runs an exhaustive evidence-based GCP cost and labelling audit: reads Terraform first, then validates against the live project with read-only gcloud calls, finds drift and shadow resources, walks every service family for waste and right-sizing, checks label compliance, and attributes measured spend
implementing-gcp-terraform
GCP-specific Terraform patterns and Architecture Framework defaults: custom-mode VPC with secondary ranges for GKE, private clusters with Workload Identity and Dataplane V2, Cloud SQL on private IP, Cloud Storage with uniform bucket-level access, Cloud Run with direct VPC egress, Pub/Sub, Secret Man
The business-analysis workflow end to end: discovery workshop materials — transcripts, Figma, PDFs, codebase context — become Jira-ready epics and user stories, a per-product domain dictionary and an outcome-based delivery roadmap, behind five human review gates, with a hook that, while a business-analysis session is open in the repository, refuses Jira writes to a project until the push gate is approved for that project. Also imports an existing Jira backlog for local iteration. Seven read-only worker subagents keep the heavy reading out of the conversation.
What every TSH teammate needs regardless of discipline or stack: safe Git worktree lifecycle management, the house standard for writing technical documents, authoring Claude Code extensions, the project-context files Claude Code loads, the decision-record format and lifecycle, a one-command project setup that wires them all together, and three bundled MCP servers: Atlassian for Jira and Confluence, Figma for design context, and Context7 for library documentation.
Infrastructure, CI/CD and deployment the TSH way: Terraform modules, pipelines with OIDC and plan gates, production-shaped Kubernetes workloads, observability with SLOs, secrets management, and evidence-based cloud cost audits.
Quality assurance: Playwright end-to-end tests proven stable by repeated headless runs, and WCAG 2.1 AA accessibility audits that report the success criterion behind every finding.
AWS-specific infrastructure guidance: Terraform module patterns for VPC, EKS, RDS and S3, Well-Architected defaults, and a full evidence-based AWS cost and tagging audit of a live account.
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
Brings together Adobe Creative Cloud tools for images, vectors, design, and video. Edit multiple assets at once, adapt for different platforms, and complete multi-step creative workflows for polished results.
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