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Advanced migration strategies for moving to Lindy AI from other platforms.
Passed 20 of 22 test cases with the skill, and 8 of 22 without it.
and 15 more in the full report
12 fixed8 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
What quantitative completion rate threshold and output sampling check should be used to validate task performance during the post-migration check of a Lindy agent?
| Checked | Without skill | With skill |
|---|---|---|
| Requires a task completion success rate greater than 95 percent. | Missed | Passed |
| Requires comparing 10 agent outputs against old automation outputs. | Missed | Passed |
The instructions your model reads when the skill loads.
Migrate existing automation workflows from Zapier, Make (Integromat), n8n, LangChain, or custom code to Lindy AI. Key insight: Lindy replaces rigid rule-based automations with AI agents that can reason, adapt, and handle ambiguity — so migration is a redesign opportunity, not a 1:1 translation.
| Source Platform | Lindy Equivalent | Key Difference |
|---|---|---|
| Zapier Zap | Lindy Agent | AI reasoning replaces rigid if/then |
| Make Scenario | Lindy Agent | No-code builder instead of module chains |
| n8n Workflow | Lindy Agent | Managed infra, no self-hosting |
| LangChain Agent | Lindy Agent Step | No-code, managed, no Python needed |
| Custom code | HTTP Request + Run Code | Less code, AI fills gaps |
For each existing automation, document:
| Field | Example |
|---|---|
| Name | Support Email Triage |
| Trigger | New email in [email protected] |
| Steps | 1. Parse email 2. Classify 3. Route to channel |
| Integrations | Gmail, Slack, Sheets |
| Frequency | ~50 runs/day |
| Complexity | Medium (3 steps, 1 condition) |
test cases passed, vs 8 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.