query-integration-data

Query and modify data across connected integrations and data warehouses.

Updated Mar 17, 2026
One-click install
npx skills add https://github.com/shahmirerror/gsdcp-mobile --skill query-integration-data-shahmirerror
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: query-integration-data
Source: https://github.com/shahmirerror/gsdcp-mobile/tree/main/.local/skills/query-integration-data
Command: npx skills add https://github.com/shahmirerror/gsdcp-mobile --skill query-integration-data-shahmirerror

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Connect to and manipulate data across multiple connected integrations and data warehouses (e.g., Linear, GitHub, HubSpot, Slack, Databricks, Snowflake, BigQuery) without building bespoke interfaces, enabling rapid data-backed decisions.

Core Features & Use Cases

  • Read operations: query data, count records, export to CSV/JSON from various services.
  • Write operations: create, update, delete or modify resources across connectors.
  • Use Case: Ask to pull the latest issues from Linear and export the results for analytics.

Quick Start

Configure a connection to your first integration, then ask to run a query or export data.

Frequently Asked Questions about query-integration-data

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query and modify data across integrations and data warehouses?

To query and modify integration data, this Skill executes read and write operations within a code_execution sandbox, returning results or data files for downstream workflows. It supports connecting to services like BigQuery, Databricks, and Snowflake.

What's the best way to export records from connected integrations to CSV or JSON?

Exporting integration data to CSV or JSON is handled by executing read operations within the sandbox environment. The Skill queries connected services like Linear or HubSpot and returns the requested data files for your analytics workflows.

Do I need to configure credentials before querying data from BigQuery or Databricks?

Yes, you must configure credentials via listConnections before querying data from BigQuery, Databricks, or other connected integrations. This credential setup allows the sandbox to deterministically execute read and write operations across your assigned services.

Can I create, update, and delete resources across services without building bespoke interfaces?

Yes, you can create, update, and delete resources across connectors without building bespoke interfaces. This Skill handles write operations deterministically within its sandbox environment, enabling rapid modification of resources across your connected services.

What problems does querying data across multiple integrations solve?

Querying data across multiple integrations solves the problem of connecting to and manipulating data across disparate services without building bespoke interfaces. This enables rapid data-backed decisions by unifying read and write operations across warehouses.

Does running write operations in a code_execution sandbox guarantee deterministic actions?

Yes, executing actions within the code_execution sandbox guarantees deterministic operations for both read and write tasks. This ensures that querying and modifying resources across connected integrations and data warehouses yields consistent results.