query-integration-data

Query and modify data across connected services via API calls.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables reading data from and writing data to many connected services via APIs without building a custom integration layer, saving time and enabling cross-service insights.

Core Features & Use Cases

  • Read operations: query issues, counts, exports from Linear, GitHub, Slack, Google services, and more.
  • Write operations: create, update, delete, or modify resources across connected services.
  • Unified workflow: use listConnections() in the code_execution sandbox to obtain credentials, then call APIs directly.
  • Data warehouse support: query and extract from Databricks, Snowflake, and BigQuery.
  • Ad-hoc automation: perform multi-step operations across services to automate data tasks.

Quick Start

Ask me to run a read or write operation against a connected service 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 across connected services like Linear and Slack?

You can query data across multiple connected services by using the listConnections() function to fetch credentials, then executing direct API calls inline within the code_execution sandbox for cross-service insights.

Can I write data to Databricks, Snowflake, and BigQuery without building a custom integration layer?

Yes, you can perform write operations to Databricks, Snowflake, and BigQuery without a custom integration layer by fetching credentials via listConnections() and calling APIs directly to modify resources.

What is the best way to automate cross-service data tasks and extract data from a data warehouse?

The best way to automate cross-service data tasks is using the code_execution sandbox to perform multi-step operations, obtaining credentials with listConnections() and calling APIs directly to extract data warehouse records.

Does this approach handle credentials securely for direct API read and write operations?

Yes, this approach handles credentials securely by retrieving them via the listConnections() function within the isolated code_execution sandbox before making direct API read and write operations across connected services.

How do I get credentials to call APIs directly in the code execution sandbox?

To get credentials for direct API calls, use the listConnections(connectorName) function inside the code execution sandbox, which returns the necessary authentication details to execute read and write operations across your connected services.

When should I not use inline code execution for querying connected services?

You should avoid inline code execution for querying connected services if you require persistent scheduled batch jobs or complex custom integration layers, as this approach is designed for ad-hoc automation and direct API calls within the sandbox.