query-integration-data

You can query data across multiple integrations by performing read operations such as queries, counts, and exports directly from chat. The skill connects to platforms like HubSpot, Linear, GitHub, and Slack to retrieve and modify information without building external UIs.

Yes, you can modify data in Snowflake and BigQuery warehouses using write operations like create, update, and delete. Before performing write actions, you must use listConnections(connectorName) to fetch credentials and execute the operation within the code_execution sandbox.

The best way to run ad-hoc data queries across connected SaaS apps is through unified data access in chat. You can fetch, transform, and apply data changes across Google services, Slack, and other connectors using inline sandboxed execution without external scripts.

No, this data integration approach does not require external scripts or scaffolding. Code runs inline within the code_execution sandbox, allowing you to connect to warehouses like Databricks and execute read or write operations directly from the chat interface.

To fetch credentials before performing write operations on integrated data, use the listConnections(connectorName) function. This discovers the necessary authentication for your connector, allowing you to securely execute create, update, or delete actions in the sandbox.