Does this skill support different Lindy AI pricing tiers?

Yes, it includes detailed limit information for Free, Pro, and Enterprise tiers, helping you tailor your request strategy to your specific plan.

What rate limiting strategies are included?

The skill provides patterns for both Token-Bucket rate limiting for steady flows and Queue-Based rate limiting for handling bursts of traffic.

What is the Lindy Rate Limits skill?

It is a specialized capability for Claude Code that provides domain-specific guidance and implementation patterns for managing Lindy AI API limits and preventing throttling errors.

Can I monitor my current Lindy AI API usage programmatically?

Yes, the skill includes TypeScript code snippets for checking real-time usage across API requests, agent runs, and concurrent processes via the Lindy SDK.

How do I handle Lindy AI 'Too Many Requests' errors?

The skill provides standardized retry logic using exponential backoff, which automatically pauses and retries requests when you hit API limits.

Lindy AI Rate Limit Manager

Name: Lindy AI Rate Limit Manager
Author: jeremylongshore

byjeremylongshore

•

983

API 개발

Manages and optimizes Lindy AI API rate limits to prevent throttling and ensure consistent application performance.

소개

The Lindy Rate Limits skill provides developers with essential tools and implementation patterns for navigating Lindy AI's API constraints across Free, Pro, and Enterprise tiers. It offers pre-built logic for real-time usage monitoring, client-side token-bucket rate limiters, and sophisticated retry mechanisms with exponential backoff. By integrating these patterns, developers can build resilient AI agents that handle high-volume traffic without triggering 'Too Many Requests' errors, ensuring cost-effective and reliable API consumption.

주요 기능

Queue-based request throttling for high-volume tasks
Pre-configured tier-specific limit definitions
Automated retry logic with exponential backoff
Client-side token-bucket rate limiter implementation
Real-time API usage and quota monitoring
983 GitHub stars

사용 사례

Optimizing high-frequency API calls for Lindy AI agents
Debugging and resolving throttling issues during heavy usage periods
Implementing resilient background workers that respect API quotas

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills lindy-rate-limits

For use in Claude.ai and ChatGPT

Download Skill

GitHub

소개