SQL query review for correctness, performance, and best practices. Activate when a query needs review before production use, shows unexpected results, or runs too slowly.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
SQL query review for correctness, performance, and best practices. Activate when a query needs review before production use, shows unexpected results, or runs too slowly.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Trace and resolve discrepancies when the same metric shows different values in two or more sources. Use before reporting, after pipeline changes, or when stakeholders question a number.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Document column-level mappings between source and target schemas. Use when integrating data from multiple systems, designing ETL transformations, or documenting how raw fields become analytical assets.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Time-based cohort analysis with retention and behaviour tracking. Activate when you need to measure how groups of users/customers behave over time — retention rates, revenue by cohort, or feature adoption curves.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Efficiently package context for AI-assisted analysis. Use when preparing to work with Claude on analysis, organizing context documents, or structuring prompts for complex analytical tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Structured requirements elicitation for analysis requests. Use when scoping new analysis projects, clarifying ambiguous business questions, or documenting analysis acceptance criteria with stakeholders.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Translate technical analysis into business language. Use when explaining statistical concepts to non-analysts, simplifying technical findings, or bridging communication between data teams and business stakeholders.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.