What problem does it solve? Building and operating data connectors for the Insight platform involves many failure-prone steps: authoring Airbyte declarative manifests, wiring descriptors, dbt models, K8s Secrets, and repo-wide registries. A single missed entry (wrong semver version, missing bootstrap config, mismatched silver column types) passes code review and only breaks after merge. This Skill encodes the full connector lifecycle with the wiring invariants and guard checks that prevent those silent post-merge failures. ## Core Features & Use Cases - Connector creation: Scaffold nocode (declarative YAML) or CDK (Python) connector packages with manifest, descriptor, K8s Secret example, README, dbt models, and identity-resolution chains. - Testing and validation: Run the L0 static / L1 mock / L2 live test ladder, strict Builder-UI manifest validation, per-stream read smoke tests, and the repo-wide wiring guard (connector_wiring.py). - Deployment and operations: Register connectors in Airbyte, create connections, reconcile Argo CronWorkflows, run end-to-end syncs, inspect logs, and reset connectors after breaking schema changes. - Use Case: Add a new HR data source by asking the Skill to create the connector package, test it against a real tenant, validate it against the spec, and deploy it to Airbyte and Argo with a verified first sync. ## Quick Start Ask the assistant to create a new connector named jira under the task-tracking category and then run its test workflow.