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.
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