data-context-extractor

A meta-skill that extracts company-specific data knowledge from analysts and generates tailored data analysis skills. This skill has two modes: Use when: User wants to create a new data context skill for their warehouse. Step 1: Identify the database type Ask: "What data warehouse are you using?" Common options: Use ~~data warehouse tools (query and schema) to connect. If unclear, check available MCP tools in the current session. Step 2: Explore the schema Use ~~data warehouse schema tools to: Sample exploration queries by dialect: After schema discovery, ask these questions conversationally (not all at once): Entity Disambiguation (Critical) "When people here say 'user' or 'customer', what exactly do they mean? Are there different types?" Listen for: Primary Identifiers "What's the main identifier for a [customer/user/account]? Are there multiple IDs for the same entity?" Listen for: Key Metrics "What are the 2-3 metrics people ask about most? How is each one calculated?" Listen for: Data Hygiene "What should ALWAYS be filtered out of queries?