Individual skill
klaviyo-performance-tuning
Optimize Klaviyo API performance with caching, batching, and pagination tuning. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Klaviyo integrations. Trigger with phrases like "klaviyo performance", "optimize klaviyo", "klaviyo latency", "klaviyo caching", "klaviyo slow", "klaviyo batch".
plugins/saas-packs/klaviyo-pack/skills/klaviyo-performance-tuning/SKILL.md
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- Last checked
- Nov 12, 2026
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- Repository last updated
- Nov 12, 2026
- License
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
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- ai-agents Repository topic
- anthropic Repository topic
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- developer-tools Repository topic
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- marketing Derived category
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SKILL.mdcore · 6,567 bytesreferences/examples.mddoc · 2,608 bytesreferences/implementation.mddoc · 6,470 bytes
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# Klaviyo Performance Tuning
## Overview
Optimize Klaviyo API performance with response caching, request batching, cursor-based pagination, sparse fieldsets, and connection pooling. This skill diagnoses where an integration is slow, then applies the right technique — payload reduction, memory caching, bounded pagination, request coalescing, or rate-limit-aware concurrency.
Read this file for the workflow and the decision guide. Full, copy-pasteable code for every step lives in [references/implementation.md](references/implementation.md); combined real-world scenarios live in [references/examples.md](references/examples.md).
## Prerequisites
- `klaviyo-api` SDK installed
- Understanding of Klaviyo's rate limits (75 req/s burst, 700 req/min)
- Redis or in-memory cache (optional)
- For batching/concurrency helpers: `dataloader`, `p-queue`, `lru-cache`
