| name | lindy-migration-deep-dive |
| description | Advanced migration strategies for Lindy AI integrations.
Use when migrating from other platforms, consolidating agents,
or performing major architecture changes.
Trigger with phrases like "lindy migration", "migrate to lindy",
"lindy platform migration", "switch to lindy".
|
| allowed-tools | Read, Write, Edit, Bash(node:*) |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
Lindy Migration Deep Dive
Overview
Advanced migration strategies for moving to or upgrading Lindy AI integrations.
Prerequisites
- Source platform documentation
- Target Lindy environment ready
- Migration timeline approved
- Rollback plan defined
Migration Scenarios
Scenario 1: From Custom AI to Lindy
Assessment Phase:
interface MigrationAssessment {
sourceAgents: number;
sourceWorkflows: number;
complexity: 'simple' | 'moderate' | 'complex';
estimatedDuration: string;
risks: string[];
}
async function assessMigration(source: any): Promise<MigrationAssessment> {
const agents = await source.getAgents();
const workflows = await source.getWorkflows();
const complexity = agents.length > 10 || workflows.length > 5
? 'complex'
: agents.length > 3
? 'moderate'
: 'simple';
return {
sourceAgents: agents.length,
sourceWorkflows: workflows.length,
complexity,
estimatedDuration: complexity === 'complex' ? '2-4 weeks' : '1 week',
risks: [
'Feature parity gaps',
'Data format differences',
'Integration rewiring',
],
};
}
Scenario 2: Agent Consolidation
Before:
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Agent A │ │ Agent B │ │ Agent C │
│ (Support) │ │ (Support) │ │ (Support) │
└─────────────┘ └─────────────┘ └─────────────┘
│ │ │
└───────────────┴───────────────┘
│
(Duplicated logic)
After:
┌─────────────────────────────────────────────┐
│ Unified Support Agent │
│ (Consolidated logic, shared context) │
└─────────────────────────────────────────────┘
async function consolidateAgents(agentIds: string[]) {
const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
const agents = await Promise.all(
agentIds.map(id => lindy.agents.get(id))
);
const mergedInstructions = agents
.map(a => `## ${a.name}\n${a.instructions}`)
.join('\n\n');
const allTools = [...new Set(agents.flatMap(a => a.tools))];
const consolidated = await lindy.agents.create({
name: 'Unified Support Agent',
instructions: `
You are a unified support agent combining multiple specializations.
${mergedInstructions}
Use the appropriate section based on the user's query.
`,
: allTools,
});
.();
consolidated;
}
Scenario 3: Multi-Environment Migration
interface MigrationPlan {
phases: MigrationPhase[];
rollbackCheckpoints: string[];
}
interface MigrationPhase {
name: string;
environment: 'development' | 'staging' | 'production';
steps: string[];
duration: string;
successCriteria: string[];
}
const migrationPlan: MigrationPlan = {
phases: [
{
name: 'Development Migration',
environment: 'development',
steps: [
'Export agents from source',
'Transform to Lindy format',
'Import to Lindy dev',
'Run integration tests',
'Fix any issues',
],
duration: '1 week',
successCriteria: [
'All agents imported',
'Integration tests passing',
'No critical errors in logs',
],
},
{
name: 'Staging Migration',
environment: 'staging',
steps: [
'Deploy to staging',
'Run load tests',
,
,
,
],
: ,
: [
,
,
,
],
},
{
: ,
: ,
: [
,
,
,
,
,
],
: ,
: [
,
,
,
],
},
],
: [
,
,
,
,
],
};
Data Migration
interface DataMigration {
source: string;
destination: string;
transform: (data: any) => any;
}
async function migrateData(config: DataMigration) {
const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
console.log('Exporting from source...');
const sourceData = await exportFromSource(config.source);
console.log('Transforming data...');
const transformedData = sourceData.map(config.transform);
console.log('Validating...');
const validationErrors = validateData(transformedData);
if (validationErrors.length > 0) {
throw new ();
}
.();
( item transformedData) {
lindy..(item);
}
.();
}
transforms = {
: ({
: agent.,
: agent.,
: (agent.),
}),
: ({
: agent.,
: agent.,
: (agent.),
}),
: ({
: agent.,
: agent.,
: agent. || [],
}),
};
Rollback Procedures
interface RollbackState {
checkpoint: string;
timestamp: Date;
agentSnapshots: Map<string, any>;
automationSnapshots: Map<string, any>;
}
class RollbackManager {
private states: RollbackState[] = [];
private lindy: Lindy;
constructor() {
this.lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
}
async createCheckpoint(name: string): Promise<void> {
console.log(`Creating checkpoint: ${name}`);
const agents = await this.lindy.agents.list();
const automations = await this.lindy..();
: = {
: name,
: (),
: (agents.( [a., a])),
: (automations.( [a., a])),
};
..(state);
.();
}
(: ): <> {
state = ..( s. === checkpointName);
(!state) {
();
}
.();
currentAgents = ...();
( agent currentAgents) {
(!state..(agent.)) {
...(agent.);
}
}
( [id, snapshot] state.) {
...(id, snapshot);
}
.();
}
}
Migration Checklist
[ ] Source system documented
[ ] Migration plan approved
[ ] Rollback procedures tested
[ ] Data transformation validated
[ ] Feature parity confirmed
[ ] Integration tests created
[ ] Load tests passed
[ ] Parallel run completed
[ ] Cutover window scheduled
[ ] Monitoring enhanced
[ ] Support team briefed
Output
- Migration assessment
- Consolidation strategy
- Multi-environment plan
- Data transformation
- Rollback procedures
Error Handling
| Issue | Cause | Solution |
|---|
| Data loss | Transform error | Validate before import |
| Parity gap | Feature difference | Document and workaround |
| Rollback fail | Incomplete checkpoint | Create full snapshots |
Examples
Complete Migration Script
#!/bin/bash
echo "Starting Lindy migration..."
npm run migration:assess
npm run migration:export
npm run migration:transform
npm run migration:validate
npm run migration:checkpoint create pre-import
npm run migration:import
npm run migration:test
echo "Migration complete!"
Resources
Next Steps
This completes the Flagship tier skills. Consider reviewing Standard and Pro skills for comprehensive coverage.