SKILL.md
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.