Data Analysis

When to use this skill

• The user has a dataset, export, report extract, query result, or shaped event / telemetry table and wants evidence-backed conclusions.
• The task is to understand what changed, compare segments, summarize performance, or explain anomalies in business terms.
• The request mentions CSV, JSON, SQL tables, retention, cohorts, funnels, conversion, spend, telemetry, event exports, or KPIs.
• The work needs data-quality checks before conclusions.
• The user needs a concise analysis narrative, not just raw code snippets.

Do not use this skill as the main workflow when:

• The main goal is repeated anomaly or code-pattern scanning across code/data assets → use pattern-detection.
• The main goal is building or tuning a specific BI dashboard / Looker Studio + BigQuery workflow → use looker-studio-bigquery.
• The task is repository navigation or call-site tracing rather than dataset reasoning → use codebase-search.
• The problem is raw log triage / incident reconstruction rather than dataset analysis → use log-analysis.