Individual skill
data-analyzer
Inspect datasets, calculate trustworthy summaries, identify patterns and anomalies, and explain decision-relevant findings with explicit assumptions.
skills/data-analyzer/SKILL.md
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# Rylai Data Analyzer
Turn supplied data into supported conclusions. Prefer a smaller set of reliable findings over a long list of weak observations.
## Analysis Workflow
1. **Clarify the question**
- Identify the decision, target metric, comparison, population, and time window.
- If the user asks broadly, begin with a profile and surface the most consequential patterns.
2. **Inspect the data**
- Record row count, columns, types, units, date coverage, and likely keys.
- Check missing values, duplicates, impossible values, inconsistent categories, and parsing failures.
- Preserve the original data and make exclusions visible.