
Architectrue
- 1 installs
- 2 repo stars
- Updated August 3, 2026
- aibangjuxin/knowledge
architectrue is a Claude Code skill that designs and implements production-grade GKE and GCP cloud platform architectures.
About
architectrue is a production-focused GKE and GCP architecture partner. It clarifies requirements, proposes a realistic Version 1 architecture with trade-offs, and provides step-by-step deployment actions with commands, YAML and validation and rollback paths. It covers traffic chains, mTLS, Cloud Armor, high availability, observability and cost optimization, then produces handoff documentation. It assumes a production environment by default.
- Designs production-grade GKE and GCP architectures with explicit trade-offs
- Covers API Gateway/Kong/Nginx traffic chains, mTLS, Cloud Armor, HA and cost optimization
- Provides deployment steps, validation checks, rollback paths and handoff docs
Architectrue by the numbers
- 1 all-time installs (skills.sh)
- Ranked #933 of 1,039 Cloud & Infrastructure skills by installs in the Skillselion catalog
- Data as of Aug 3, 2026 (Skillselion catalog sync)
architectrue capabilities & compatibility
- Capabilities
- cloud architecture · gke design · network design · cost optimization
- Works with
- gcp · kubernetes
- Use cases
- devops · ci cd
- Pricing
- Free
What architectrue says it does
Deliver practical, production-grade GKE and GCP architecture guidance.
Prefer GCP native services before introducing third-party tooling.
Ensure each recommendation is deployable or verifiable.
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| Installs | 1 |
|---|---|
| repo stars | ★ 2 |
| Last updated | August 3, 2026 |
| Repository | aibangjuxin/knowledge ↗ |
What it does
Design and implement deployable, production-grade GKE and GCP cloud platform architectures.
Who is it for?
Designing and implementing production GKE and GCP platforms with traffic, security and reliability guidance.
Skip if: Non-GCP or non-Kubernetes stacks, which it does not target.
When should I use this skill?
When tasks involve GKE platform design, GCP networking, mTLS, Cloud Armor, Helm/CI-CD, HA or cost optimization.
What you get
A deployable V1 architecture with trade-offs, implementation steps, rollback paths and a handoff checklist.
- A V1 architecture with trade-offs, implementation steps, validation, rollback and a handoff checklist
By the numbers
- 5-stage execution workflow (Discovery through Documentation)
- 7-part output template
- complexity labels Simple, Moderate, Advanced
Files
Architectrue
Overview
Deliver practical, production-grade GKE and GCP architecture guidance. Prioritize deployable steps, explicit trade-offs, and verifiable outcomes over theory.
Execution Workflow
1. Discovery
- Clarify ambiguous requirements before proposing solutions.
- Classify the request as architecture, networking, security, deployment, performance, or cost.
- Separate recommendations into immediate fix, structural improvement, and long-term redesign.
- Flag risky or over-engineered ideas and provide a simpler alternative.
2. Architecture Planning
- Propose a realistic Version 1 architecture first.
- Explain trade-offs across cost, performance, complexity, and operability.
- Prefer GCP native services before introducing third-party tooling.
- Provide a structured flow description for traffic and control-plane components.
- Label implementation complexity as
Simple,Moderate, orAdvanced.
3. Implementation
- Provide step-by-step deployment actions.
- Include concrete commands, YAML snippets, and config templates when needed.
- Explain the purpose of each critical step.
- Include validation checks, rollback paths, and release safety practices.
- Account for HA, rolling updates, PDB, autoscaling, quotas, and platform limits.
4. Optimization and Reliability
- Optimize for high availability and zero-downtime operations.
- Improve traffic behavior with retries, timeouts, and fault isolation.
- Tune resource utilization and cost efficiency.
- Strengthen boundaries with IAM, mTLS, Cloud Armor, and WAF controls.
- Define observability coverage for logs, metrics, alerts, and tracing.
5. Documentation and Handoff
- Produce a concise architecture summary.
- Provide reusable templates and troubleshooting checklists.
- Capture version upgrade considerations.
- Document future extension paths and technical debt follow-ups.
Response Contract
- Keep output structured and implementation-oriented.
- Use direct language when identifying unnecessary risk.
- Avoid abstract explanations without actionable deployment value.
- Assume production environment unless explicitly told otherwise.
- Prefer maintainable and scalable designs over one-off hacks.
- Ensure each recommendation is deployable or verifiable.
Output Template
Use this outline when giving a full solution:
1. Goal and Constraints 2. Recommended Architecture (V1) 3. Trade-offs and Alternatives 4. Implementation Steps 5. Validation and Rollback 6. Reliability and Cost Optimizations 7. Handoff Checklist
interface:
display_name: "Architectrue"
short_description: "Help with Architectrue tasks"
default_prompt: "Use $architectrue to design and implement a production-grade GKE and GCP architecture plan."
Related skills
FAQ
What does it prioritize?
Deployable steps, explicit trade-offs and verifiable outcomes over theory, assuming a production environment.
Does it prefer third-party tools?
No, it prefers GCP native services before introducing third-party tooling.