Individual skill
klaviyo-rate-limits
Implement Klaviyo rate limiting, backoff, and request queuing patterns. Use when handling 429 errors, implementing retry logic, or optimizing API request throughput for Klaviyo. Trigger with phrases like "klaviyo rate limit", "klaviyo throttling", "klaviyo 429", "klaviyo retry", "klaviyo backoff", "klaviyo Retry-After".
plugins/saas-packs/klaviyo-pack/skills/klaviyo-rate-limits/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
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- Repository last updated
- Nov 12, 2026
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- klaviyo Declared skill tag
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- cdp Declared skill tag
- marketing Derived category
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SKILL.mdcore · 7,420 bytesSKILL.mdcore · 7,420 bytesreferences/examples.mddoc · 2,123 bytesreferences/implementation.mddoc · 4,551 bytes
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# Klaviyo Rate Limits
## Overview
Handle Klaviyo's per-account fixed-window rate limits with proper `Retry-After` header handling, exponential backoff, and request queuing. This skill installs a small set of composable helpers: a retry wrapper that honors Klaviyo's `Retry-After`, a request queue that paces sustained throughput, a monitor that reads live rate-limit headers, and a rate-aware bulk import.
## Prerequisites
- The `klaviyo-api` SDK installed in the target project (`npm install klaviyo-api`).
- The `p-queue` package installed for the request queue (`npm install p-queue`).
- A working knowledge of Klaviyo's dual-window (burst + steady) rate limiting, summarized in the architecture table below.
- Write access to the project's `src/klaviyo/` directory, where the generated helper files land.
## Klaviyo Rate Limit Architecture