Advanced migration strategies for moving to or upgrading Lindy AI integrations including platform migration, agent consolidation, and multi-environment rollout.
Analyze source system agents and workflows. Classify complexity (simple/moderate/complex) and estimate duration based on agent count and workflow complexity.
Identify duplicate or overlapping agents. Merge instructions, collect unique tools, and create consolidated agents with clear specialization sections.
Define phases (development, staging, production) with specific steps, duration, and success criteria for each. Include rollback checkpoints at key milestones.
Export from source, transform to Lindy format using source-specific transforms (OpenAI, LangChain, custom), validate, and import.
Create checkpoint snapshots of agents and automations before each phase. Implement rollback that deletes new agents and restores modified ones.
Execute the phased migration: assess, export, transform, validate, checkpoint, import, test.
For detailed implementation code and migration scripts, load the reference guide:
Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)
| Issue | Cause | Solution |
|---|---|---|
| Data loss | Transform error | Validate before import |
| Parity gap | Feature difference | Document and workaround |
| Rollback fail | Incomplete checkpoint | Create full snapshots |
This completes the Flagship tier skills. Consider reviewing Standard and Pro skills for comprehensive coverage.
See migration implementation details for output format specifications.
Basic usage: Apply lindy migration deep dive to a standard project setup with default configuration options.
Advanced scenario: Customize lindy migration deep dive for production environments with multiple constraints and team-specific requirements.
