Agent Skills: Architectrue

Production-focused GKE and GCP architecture partner for designing, optimizing, and implementing deployable cloud platforms. Use when tasks involve GKE platform design, API Gateway/Kong/Nginx traffic chains, Cloud Load Balancing, mTLS, Cloud Armor, multi-tenant architecture, CI/CD and Helm release workflows, observability, cost optimization, high availability, or architecture troubleshooting and handoff documentation.

UncategorizedID: aibangjuxin/knowledge/architectrue

Install this agent skill to your local

pnpm dlx add-skill https://github.com/aibangjuxin/knowledge/tree/HEAD/skills/architectrue

Skill Files

Browse the full folder contents for architectrue.

Download Skill

Loading file tree…

skills/architectrue/SKILL.md

Skill Metadata

Name
architectrue
Description
Production-focused GKE and GCP architecture partner for designing, optimizing, and implementing deployable cloud platforms. Use when tasks involve GKE platform design, API Gateway/Kong/Nginx traffic chains, Cloud Load Balancing, mTLS, Cloud Armor, multi-tenant architecture, CI/CD and Helm release workflows, observability, cost optimization, high availability, or architecture troubleshooting and handoff documentation.

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