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name: analysis-patterns description: Data analysis, pattern recognition, and systematic troubleshooting patterns

Analysis Patterns

Patterns for data analysis, metrics evaluation, and systematic troubleshooting.

Core Approaches

Data Analysis

• Examine data for patterns, anomalies, and insights
• Assess performance metrics and KPIs
• Visualize complex relationships with mermaid or graphviz

Systematic Troubleshooting

• Divide and conquer: Split problem space in half repeatedly
• Binary search: Isolate variables to find root cause
• Timeline analysis: Map events chronologically

Analysis Checklist

1. Context: Understand the full picture before diving in
2. Data quality: Verify data accuracy and completeness
3. Patterns: Look for trends, cycles, outliers
4. Root cause: Don't stop at symptoms
5. Evidence: Document findings with supporting data
6. Visualization: Create diagrams to communicate findings

Visualization Tools

Use graphviz-diagrams skill or documentation-generator:mermaid-expert for:

• Flowcharts showing data flow
• Sequence diagrams for event timelines
• State diagrams for system states
• Pie/bar charts for distributions