Guide for upgrading Lindy SDK and migrating between versions. Use when upgrading SDK versions, migrating agents, or handling breaking changes. Trigger with phrases like "upgrade lindy", "lindy migration", "lindy breaking changes", "update lindy SDK".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: lindy-upgrade-migration description: | Guide for upgrading Lindy SDK and migrating between versions. Use when upgrading SDK versions, migrating agents, or handling breaking changes. Trigger with phrases like "upgrade lindy", "lindy migration", "lindy breaking changes", "update lindy SDK". allowed-tools: Read, Write, Edit, Bash(npm:*) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Lindy Upgrade & Migration
Overview
Guide for safely upgrading Lindy SDK versions and migrating configurations.
Prerequisites
- Current SDK version identified
- Changelog reviewed for target version
- Backup of current configuration
- Test environment available
Instructions
Step 1: Check Current Version
# Check installed version
npm list @lindy-ai/sdk
# Check latest available
npm view @lindy-ai/sdk version
# View changelog
npm view @lindy-ai/sdk changelog
Step 2: Review Breaking Changes
// Common breaking changes by version
// v1.x -> v2.x
// - Client initialization changed
// Before: new Lindy(apiKey)
// After: new Lindy({ apiKey })
// - Agent.run() signature changed
// Before: agent.run(input)
// After: lindy.agents.run(agentId, { input })
// - Events renamed
// Before: 'complete'
// After: 'completed'
Step 3: Update Dependencies
# Update to latest
npm install @lindy-ai/sdk@latest
# Or specific version
npm install @lindy-ai/sdk@2.0.0
# Check for peer dependency warnings
npm ls @lindy-ai/sdk
Step 4: Update Code
// Migration script for v1 -> v2
// Old code (v1)
import Lindy from '@lindy-ai/sdk';
const client = new Lindy(process.env.LINDY_API_KEY);
const result = await client.runAgent('agt_123', 'Hello');
// New code (v2)
import { Lindy } from '@lindy-ai/sdk';
const client = new Lindy({ apiKey: process.env.LINDY_API_KEY });
const result = await client.agents.run('agt_123', { input: 'Hello' });
Step 5: Run Migration Tests
// tests/migration.test.ts
import { Lindy } from '@lindy-ai/sdk';
describe('SDK Migration', () => {
const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
test('client initialization works', async () => {
const user = await lindy.users.me();
expect(user.email).toBeDefined();
});
test('agent operations work', async () => {
const agents = await lindy.agents.list();
expect(Array.isArray(agents)).toBe(true);
});
test('run operations work', async () => {
const result = await lindy.agents.run('agt_test', {
input: 'Test migration',
});
expect(result.output).toBeDefined();
});
});
Migration Checklist
[ ] Backup current configuration
[ ] Review changelog for breaking changes
[ ] Update package.json
[ ] Run npm install
[ ] Update import statements
[ ] Update client initialization
[ ] Update method calls
[ ] Run test suite
[ ] Test in staging environment
[ ] Deploy to production
[ ] Monitor for issues
Output
- Updated SDK to target version
- Migrated code patterns
- Passing test suite
- Documented changes
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Import error | Named exports changed | Check new import syntax |
| Type error | Interface changed | Update TypeScript types |
| Runtime error | Method signature changed | Check new API |
Examples
Automated Migration Script
#!/bin/bash
# migrate-lindy.sh
echo "Starting Lindy SDK migration..."
# Backup
cp package.json package.json.backup
cp -r src src.backup
# Update
npm install @lindy-ai/sdk@latest
# Run tests
npm test
if [ $? -eq 0 ]; then
echo "Migration successful!"
rm -rf src.backup package.json.backup
else
echo "Migration failed. Rolling back..."
mv package.json.backup package.json
rm -rf src && mv src.backup src
npm install
exit 1
fi
Resources
Next Steps
Proceed to Pro tier skills for advanced features.
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.
