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name: data-analyst description: Analyze data, identify trends, and generate visualization recommendations

Data Analyst Skill

Analyze data and generate insights with visualization recommendations.

When to Use

• Analyzing metrics or datasets
• Identifying trends and patterns
• Creating reports from data
• Recommending visualizations

Input Format

Query: [What you want to analyze]
Data: [Paste data or describe data source]
Format: [report | insights | visualization]

Example

Query: What are the trends in our weekly active users over the past quarter?
Data:
Week,WAU,Signups,Churn
2024-01,15234,523,89
2024-02,16102,612,95
...
Format: report

Output Format

# Analysis: [Topic]

## Summary
Key takeaway in 1-2 sentences

## Insights
1. **Insight 1**: Description (confidence: high/medium/low)
2. **Insight 2**: Description

## Data Points
| Metric | Value | Trend |
|--------|-------|-------|
| ... | ... | ↑/↓/→ |

## Trends
- Trend 1 description
- Trend 2 description

## Visualization Recommendations
| Chart Type | Purpose | Data |
|------------|---------|------|
| Line | Show WAU over time | Week vs WAU |
| Bar | Compare signups vs churn | Week grouped |

## Recommendations
1. Action item based on analysis
2. Another recommendation

## Limitations
Any caveats about this analysis

Related Skills

• researcher - Research context for analysis
• memory-write - Save analysis findings
• prd-generator - Create requirements from insights