analysis-patterns
Data analysis, pattern recognition, and systematic troubleshooting patterns
What this skill does
# 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
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