query-integration-data

Query and modify data across integrations and data warehouses.

Updated Mar 12, 2026
One-click install
npx skills add https://github.com/aryankumarrai/VarAI --skill query-integration-data-aryankumarrai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: query-integration-data
Source: https://github.com/aryankumarrai/VarAI/tree/main/.local/skills/query-integration-data
Command: npx skills add https://github.com/aryankumarrai/VarAI --skill query-integration-data-aryankumarrai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill allows you to interact with various connected services and data warehouses to retrieve or update information, automating data-driven tasks.

Core Features & Use Cases

  • Data Retrieval: Query data from integrations like Linear, GitHub, HubSpot, Slack, Google services, and data warehouses (Databricks, Snowflake, BigQuery).
  • Data Modification: Create, update, or delete data within these services.
  • Use Case: Ask "How many issues were created in Linear this week?" or "Export all customer contacts from HubSpot to a CSV file."

Quick Start

Use the query-integration-data skill to list all available connections for the 'linear' integration.

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 diverse API integrations?

To query and modify data across diverse API integrations, you can use a skill that executes direct API calls within a code sandbox. It retrieves credentials via `listConnections()` to perform read operations like counts and exports, or write operations like create, update, and delete.

Can I extract and export data from HubSpot to a CSV file automatically?

Yes, you can extract and export data from HubSpot to a CSV file automatically. The skill supports read operations such as queries, counts, and exports for connected services, allowing you to automate data retrieval and modification tasks across your integrations.

Does this data integration approach work with data warehouses like Snowflake and BigQuery?

Yes, this data integration approach works with data warehouses like Snowflake, BigQuery, and Databricks. It enables you to query and modify data within these warehouses alongside other connected services like Linear, GitHub, and Slack using direct API calls.

What is the best way to automate data manipulation tasks across multiple connected services?

The best way to automate data manipulation tasks across multiple connected services is by executing direct API calls within a code sandbox. This method retrieves credentials via `listConnections()` and supports both read queries and write operations for data updates.

How do I retrieve credentials to perform read and write operations on connected integrations?

To retrieve credentials for read and write operations on connected integrations, the skill utilizes a `listConnections()` function. This function fetches the necessary authentication data, enabling direct API calls for querying, creating, updating, or deleting data across your services.