Set up local development workflow for Lindy AI agents. Use when configuring local testing, hot reload, or development environment. Trigger with phrases like "lindy local dev", "lindy development", "lindy hot reload", "test lindy locally".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: lindy-local-dev-loop description: | Set up local development workflow for Lindy AI agents. Use when configuring local testing, hot reload, or development environment. Trigger with phrases like "lindy local dev", "lindy development", "lindy hot reload", "test lindy locally". allowed-tools: Read, Write, Edit, Bash(npm:), Bash(node:) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Lindy Local Dev Loop
Overview
Configure efficient local development workflow for Lindy AI agent development.
Prerequisites
- Completed
lindy-install-authsetup - Node.js 18+ with npm/pnpm
- Code editor with TypeScript support
Instructions
Step 1: Set Up Project Structure
mkdir lindy-agents && cd lindy-agents
npm init -y
npm install @lindy-ai/sdk typescript ts-node dotenv
npm install -D @types/node nodemon
Step 2: Configure TypeScript
// tsconfig.json
{
"compilerOptions": {
"target": "ES2022",
"module": "NodeNext",
"moduleResolution": "NodeNext",
"outDir": "./dist",
"strict": true,
"esModuleInterop": true
},
"include": ["src/**/*"]
}
Step 3: Create Development Script
// package.json scripts
{
"scripts": {
"dev": "nodemon --exec ts-node src/index.ts",
"build": "tsc",
"start": "node dist/index.js",
"test:agent": "ts-node src/test-agent.ts"
}
}
Step 4: Create Agent Test Harness
// src/test-agent.ts
import 'dotenv/config';
import { Lindy } from '@lindy-ai/sdk';
const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
async function testAgent(agentId: string, input: string) {
console.log(`Testing agent ${agentId} with: "${input}"`);
const start = Date.now();
const result = await lindy.agents.run(agentId, { input });
console.log(`Response (${Date.now() - start}ms): ${result.output}`);
return result;
}
// Run test
testAgent(process.argv[2], process.argv[3] || 'Hello!');
Output
- Configured development environment
- Hot reload enabled for agent code
- Test harness for rapid iteration
- TypeScript support with type checking
Error Handling
| Error | Cause | Solution |
|---|---|---|
| ts-node not found | Dev deps missing | npm install -D ts-node |
| ENV not loaded | dotenv not configured | Add import 'dotenv/config' |
| Type errors | Missing types | npm install -D @types/node |
Examples
Watch Mode Development
# Start development with hot reload
npm run dev
# Test specific agent
npm run test:agent agt_abc123 "Test input"
Environment Setup
# .env file
LINDY_API_KEY=your-api-key
LINDY_ENVIRONMENT=development
Resources
Next Steps
Proceed to lindy-sdk-patterns for SDK best practices.
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
