How can I test large integrations quickly?

The skill suggests using a 'short-circuit' pattern in your TypeScript code, such as breaking the sync loop after a few pages, to verify logic without waiting for thousands of records.

Can I use this for different providers like Workday or Gusto?

Yes, the skill supports the --integration-id parameter, allowing you to specify any provider supported by your Nango configuration.

Does running a dry run affect my production data?

No, the dry run command is specifically designed to fetch and process data locally for verification purposes without persisting any changes to your database.

What does the nango-dry-run skill actually do?

It provides Claude with the specific commands and patterns needed to run the 'nango dryrun' utility, allowing you to test sync jobs locally to verify they work correctly before deployment.

Nango Dry Run Testing

Name: Nango Dry Run Testing
Author: NangoHQ

byNangoHQ

API Development

Executes local Nango sync tests to verify integration logic and data mapping without impacting production databases.

About

The nango-dry-run skill empowers developers to rigorously test and debug Nango sync jobs within their local environment. By utilizing the nango dryrun command with precise parameters, users can validate API integrations, refine complex data mapping logic, and verify relationship resolutions without the risk of persisting experimental data to production. It provides standardized patterns for logging and short-circuiting large datasets, enabling faster development cycles and ensuring that integrations are production-ready before deployment.

Key Features

Debugging for complex data mapping and manager relationship logic
Local sync verification without database persistence
Short-circuiting support for rapid testing of large datasets
Comprehensive troubleshooting guides for common integration errors
Environment-specific testing for dev, staging, and production
0 GitHub stars

Use Cases

Testing sync logic changes before deploying to production
Validating incremental sync behavior and manager resolution patterns
Debugging data mapping issues and verifying API response structures

About

Key Features

Debugging for complex data mapping and manager relationship logic
Local sync verification without database persistence
Short-circuiting support for rapid testing of large datasets
Comprehensive troubleshooting guides for common integration errors
Environment-specific testing for dev, staging, and production
0 GitHub stars

Use Cases

Testing sync logic changes before deploying to production
Validating incremental sync behavior and manager resolution patterns
Debugging data mapping issues and verifying API response structures