What platforms does this skill support?

The skill primarily focuses on Kubernetes HPA configurations and general cloud infrastructure scaling logic applicable to AWS, GCP, and Azure.

Does this skill deploy the changes automatically?

No, it generates the production-ready configuration code for you to review and apply through your standard CI/CD pipeline or CLI tools.

How does this help with cloud cost management?

By defining precise scale-up and scale-down thresholds, it ensures your infrastructure only consumes necessary resources, reducing idle costs.

Can it configure scaling for custom metrics?

Yes, it can generate configurations based on specific metrics like CPU utilization, memory usage, or the number of incoming requests.

Auto-Scaling Configurator

Name: Auto-Scaling Configurator
Author: BbgnsurfTech

byBbgnsurfTech

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云基础设施

Generates production-ready auto-scaling policies and configurations to optimize application performance and resource utilization.

关于

The Auto-Scaling Configurator skill empowers Claude to design and implement robust scaling strategies for cloud-native applications and infrastructure. By analyzing requirements for CPU, memory, or request-based triggers, the skill generates precise Kubernetes Horizontal Pod Autoscaler (HPA) manifests and infrastructure-level scaling policies. It is essential for DevOps teams and developers who need to ensure high availability, maintain performance during traffic surges, and optimize cloud costs through automated, dynamic resource allocation.

主要功能

Supports dynamic resource allocation for cloud infrastructure
Generates Kubernetes Horizontal Pod Autoscaler (HPA) configurations
Creates metric-based scaling policies for CPU and memory utilization
Implements high availability and fault tolerance best practices
3 GitHub stars
Tailors scaling thresholds to specific application load patterns

使用场景

Configuring infrastructure resilience for high-load web applications
Implementing cost-saving scale-down policies during off-peak hours
Automating Kubernetes pod scaling based on real-time traffic spikes

关于

主要功能

Supports dynamic resource allocation for cloud infrastructure
Generates Kubernetes Horizontal Pod Autoscaler (HPA) configurations
Creates metric-based scaling policies for CPU and memory utilization
Implements high availability and fault tolerance best practices
3 GitHub stars
Tailors scaling thresholds to specific application load patterns

使用场景

Configuring infrastructure resilience for high-load web applications
Implementing cost-saving scale-down policies during off-peak hours
Automating Kubernetes pod scaling based on real-time traffic spikes