query-integration-data

Query and modify data across connected services and data warehouses.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/ma-wais/Quality-Management-System --skill query-integration-data-ma-wais
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: query-integration-data
Source: https://github.com/ma-wais/Quality-Management-System/tree/main/.local/skills/query-integration-data
Command: npx skills add https://github.com/ma-wais/Quality-Management-System --skill query-integration-data-ma-wais

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables users to read and modify data across multiple connected services (Linear, GitHub, HubSpot, Slack, Google services, etc.) and data warehouses (Databricks, Snowflake, BigQuery) directly from chat, eliminating the need to switch contexts or build custom connectors.

Core Features & Use Cases

  • Read data: execute queries, counts, and exports across services to answer questions or generate reports.
  • Write operations: create, update, or delete resources via API connections in supported platforms.
  • Ad-hoc automation: orchestrate multi-step data tasks that span several services and warehouses.

Quick Start

Ask me to query or update data across a connected service or data warehouse and I will fetch credentials, connect to the API, and return the results.

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 data from Snowflake and BigQuery directly in chat?

You query data from Snowflake and BigQuery by asking the chat to fetch credentials via listConnections(), connect to the API, and execute read operations to return results inline.

Can I create and update records in HubSpot and Linear through chat?

Yes, you can create and update records in HubSpot and Linear by requesting write operations, which fetch your connected credentials and execute API calls to modify resources directly.

What is the best way to automate multi-step workflows across GitHub and Slack?

The best way to automate multi-step workflows across GitHub and Slack is by orchestrating safeguarded data tasks in the code_execution sandbox, enabling sequential API calls across connected services.

Do I need to configure integrations before querying connected services?

You need to configure integrations before querying connected services to establish API connections, which can be optionally set up via the integrations skill to provide necessary credentials for listConnections().

Does this approach support running data queries and exports across Google services?

Yes, this approach supports running data queries and exports across Google services by executing read operations inline in the code_execution sandbox, allowing you to extract and count data directly.

Why does my multi-step data automation require the code_execution sandbox?

Your multi-step data automation requires the code_execution sandbox because all code runs inline within it, ensuring safeguarded workflows when executing API calls and modifying data across connected services.