lindy-migration-deep-diveClaude Skill
Advanced migration strategies for Lindy AI integrations.
| 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:
// migration/assess.ts interface MigrationAssessment { sourceAgents: number; sourceWorkflows: number; complexity: 'simple' | 'moderate' | 'complex'; estimatedDuration: string; risks: string[]; } async function assessMigration(source: any): Promise<MigrationAssessment> { // Analyze existing system 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) │
└─────────────────────────────────────────────┘
// migration/consolidate.ts async function consolidateAgents(agentIds: string[]) { const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY }); // Collect all instructions const agents = await Promise.all( agentIds.map(id => lindy.agents.get(id)) ); // Merge instructions const mergedInstructions = agents .map(a => `## ${a.name}\n${a.instructions}`) .join('\n\n'); // Collect all tools const allTools = [...new Set(agents.flatMap(a => a.tools))]; // Create consolidated agent 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. `, tools: allTools, }); console.log(`Consolidated ${agents.length} agents into: ${consolidated.id}`); return consolidated; }
Scenario 3: Multi-Environment Migration
// migration/multi-env.ts 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', 'Parallel run with source', 'Compare outputs', 'Fix discrepancies', ], duration: '1 week', successCriteria: [ 'Load tests passing', 'Output parity > 95%', 'Latency within SLA', ], }, { name: 'Production Migration', environment: 'production', steps: [ 'Deploy to production (canary)', 'Gradually shift traffic', 'Monitor metrics', 'Complete cutover', 'Decommission source', ], duration: '2 weeks', successCriteria: [ 'No increase in errors', 'Latency within SLA', 'User satisfaction maintained', ], }, ], rollbackCheckpoints: [ 'After dev import', 'After staging deployment', 'After 25% traffic shift', 'After 50% traffic shift', ], };
Data Migration
// migration/data.ts 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 }); // Export from source console.log('Exporting from source...'); const sourceData = await exportFromSource(config.source); // Transform data console.log('Transforming data...'); const transformedData = sourceData.map(config.transform); // Validate transformed data console.log('Validating...'); const validationErrors = validateData(transformedData); if (validationErrors.length > 0) { throw new Error(`Validation failed: ${validationErrors.join(', ')}`); } // Import to Lindy console.log('Importing to Lindy...'); for (const item of transformedData) { await lindy.agents.create(item); } console.log(`Migrated ${transformedData.length} items`); } // Transform functions for different sources const transforms = { openai: (agent: any) => ({ name: agent.name, instructions: agent.instructions, tools: mapOpenAITools(agent.tools), }), langchain: (agent: any) => ({ name: agent.name, instructions: agent.prompt_template, tools: mapLangChainTools(agent.tools), }), custom: (agent: any) => ({ name: agent.title, instructions: agent.system_prompt, tools: agent.enabled_tools || [], }), };
Rollback Procedures
// migration/rollback.ts 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.automations.list(); const state: RollbackState = { checkpoint: name, timestamp: new Date(), agentSnapshots: new Map(agents.map(a => [a.id, a])), automationSnapshots: new Map(automations.map(a => [a.id, a])), }; this.states.push(state); console.log(`Checkpoint created with ${agents.length} agents`); } async rollback(checkpointName: string): Promise<void> { const state = this.states.find(s => s.checkpoint === checkpointName); if (!state) { throw new Error(`Checkpoint not found: ${checkpointName}`); } console.log(`Rolling back to: ${checkpointName}`); // Delete new agents const currentAgents = await this.lindy.agents.list(); for (const agent of currentAgents) { if (!state.agentSnapshots.has(agent.id)) { await this.lindy.agents.delete(agent.id); } } // Restore modified agents for (const [id, snapshot] of state.agentSnapshots) { await this.lindy.agents.update(id, snapshot); } console.log(`Rollback to ${checkpointName} complete`); } }
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 # migrate-to-lindy.sh echo "Starting Lindy migration..." # Phase 1: Assessment npm run migration:assess # Phase 2: Export npm run migration:export # Phase 3: Transform npm run migration:transform # Phase 4: Validate npm run migration:validate # Phase 5: Import (with checkpoint) npm run migration:checkpoint create pre-import npm run migration:import # Phase 6: Test 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.
Similar Claude Skills & Agent Workflows
git-commit
Generate well-formatted git commit messages following conventional commit standards
code-review
Comprehensive code review assistant that analyzes code quality, security, and best practices
dsql
Build with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements.
backend-dev-guidelines
Comprehensive backend development guide for Langfuse's Next.js 14/tRPC/Express/TypeScript monorepo.
Material Component Dev
FlowGram 物料组件开发指南 - 用于在 form-materials 包中创建新的物料组件
Create Node
用于在 FlowGram demo-free-layout 中创建新的自定义节点,支持简单节点(自动表单)和复杂节点(自定义 UI)