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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)
At a glance

architectrue capabilities & compatibility

Capabilities
cloud architecture · gke design · network design · cost optimization
Works with
gcp · kubernetes
Use cases
devops · ci cd
Pricing
Free
From the docs

What architectrue says it does

Deliver practical, production-grade GKE and GCP architecture guidance.
SKILL.md
Prefer GCP native services before introducing third-party tooling.
SKILL.md
Ensure each recommendation is deployable or verifiable.
SKILL.md
npx skills add https://github.com/aibangjuxin/knowledge --skill architectrue

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Listed on Skillselion
Installs1
repo stars2
Last updatedAugust 3, 2026
Repositoryaibangjuxin/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

SKILL.mdMarkdownGitHub ↗

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, or Advanced.

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

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.

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