Analysis Patterns

Data analysis, pattern recognition, and systematic troubleshooting patterns

mindmorass Updated

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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

mindmorass/reflex/tree/main/plugins/reflex/skills/analysis-patterns commit fd7057e215

Frequently asked questions

npx skillmds@latest add mindmorass/analysis-patterns