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customerio-load-scale

7.0

by jeremylongshore

110Favorites
233Upvotes
0Downvotes

Implement Customer.io load testing and scaling. Use when preparing for high traffic, load testing, or scaling integrations for enterprise workloads. Trigger with phrases like "customer.io load test", "customer.io scale", "customer.io high volume", "customer.io performance test".

load-testing

7.0

Rating

0

Installs

Testing & Quality

Category

Quick Review

Excellent skill for Customer.io load testing and scaling. Provides comprehensive, production-ready code including k6 load tests, Kubernetes horizontal scaling, Kafka message queue architecture, rate limiting with Bottleneck, and batch processing. The description clearly indicates when to use this skill (high traffic, load testing, enterprise workloads). Task knowledge is outstanding with complete, executable scripts covering capacity planning, distributed architecture patterns, and error handling. Structure is clear with logical progression from testing to scaling strategies. Novelty is solid - implementing distributed load testing with proper rate limiting, queue-based architecture, and K8s autoscaling would require significant effort and domain expertise from a CLI agent alone. Minor improvement areas: could include more metrics/observability setup and disaster recovery patterns, but overall this is a highly practical, well-engineered skill that meaningfully reduces implementation complexity for enterprise-scale Customer.io integrations.

LLM Signals

Description coverage8
Task knowledge10
Structure8
Novelty7

GitHub Signals

1,046
135
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Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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jeremylongshore

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