Does this skill support TypeScript development?

Yes, all patterns are optimized for TypeScript and include modern best practices for async/await and type safety.

Is this skill compatible with tools other than Claude Code?

While designed for Claude Code, these SDK patterns are also compatible with Codex, OpenClaw, and general TypeScript development environments.

How does this skill help with API rate limits?

It includes a specific 'Retry with Backoff' pattern designed to handle rate limits and transient network errors gracefully without crashing the agent.

What is the main benefit of the Lindy SDK Patterns skill?

It provides standardized, production-ready code patterns like singletons and factories to ensure your Lindy AI agents are robust, efficient, and maintainable.

Can I implement real-time feedback with this skill?

Absolutely, the skill provides implementation patterns for streaming responses to ensure your agents provide immediate, real-time output to users.

Lindy SDK Patterns

Name: Lindy SDK Patterns
Author: micsapp

bymicsapp

0•

API Development

Provides standardized design patterns and implementation best practices for building robust AI agents with the Lindy AI SDK.

This skill equips developers with essential architectural patterns for Lindy AI agent development, focusing on efficiency, scalability, and reliability. It guides users through implementing the Client Singleton pattern for optimized connections, Agent Factories for consistent object creation, and sophisticated error handling with backoff strategies. By incorporating these patterns, developers can ensure their Lindy-powered agents handle streaming responses seamlessly and maintain high performance across complex workflows in TypeScript environments.

Key Features

01Agent Factory patterns for consistent and scalable agent instantiation

02Best practices for TypeScript-based Lindy SDK development and API usage

030 GitHub stars

04Robust error handling logic including retry mechanisms with exponential backoff

05Implementation of the Client Singleton pattern for optimized resource management

06Real-time streaming response integration for enhanced user experience

Use Cases

01Improving agent reliability when dealing with rate limits and network instability

02Optimizing API overhead by implementing a reusable client singleton for agent communication

03Creating a standardized factory for managing multiple specialized agent types in production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills lindy-sdk-patterns

For use in Claude.ai and ChatGPT

Key Features

01Agent Factory patterns for consistent and scalable agent instantiation

02Best practices for TypeScript-based Lindy SDK development and API usage

030 GitHub stars

04Robust error handling logic including retry mechanisms with exponential backoff

05Implementation of the Client Singleton pattern for optimized resource management

06Real-time streaming response integration for enhanced user experience

Use Cases

01Improving agent reliability when dealing with rate limits and network instability

02Optimizing API overhead by implementing a reusable client singleton for agent communication

03Creating a standardized factory for managing multiple specialized agent types in production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills lindy-sdk-patterns

For use in Claude.ai and ChatGPT