What problem does it solve? Answering questions or performing operations that require live data from external services (Linear, GitHub, HubSpot, Slack, Google, Databricks, Snowflake, BigQuery) normally requires manual API setup and scripting. This Skill retrieves existing connection credentials and runs read or write operations directly in the code execution sandbox. ## Core Features & Use Cases - Read operations: Query issues, contacts, messages, or warehouse tables to answer questions in chat, with results printed or exported to CSV/JSON. - Write operations: Create, update, or delete records such as Linear tickets, HubSpot contacts, or Slack messages, with clarifying questions for required IDs and fields. - Warehouse exploration: Run parallel subagents to explore large BigQuery, Snowflake, or Databricks schemas (15+ tables) before writing the final SQL query. - Use Case: A user asks "How many Linear issues were created this week?" — the Skill fetches credentials via listConnections, queries the Linear API, and prints the count. ## Quick Start Ask a question about your connected service data, such as "List my open GitHub issues and export them to a CSV file."