// Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and executive-ready outputs.
Run multi-indicator technical analysis on crypto or market OHLCV data. Use for deterministic trend, momentum, volume, and divergence analysis.
Convert PDFs, Office docs, markdown, HTML, and tables between editable formats. Use for best-effort document conversion, PDF utilities, form filling, and table extraction.
Run loan, investment, NPV, retirement, savings, and risk calculations with schedules and charts. Use for deterministic financial modeling tasks.
Parse, convert, geocode, visualize, and measure geographic data. Use for address cleanup, geo file conversion, mapping, and distance workflows.
Process images for cleanup, conversion, metadata, comparison, icons, palettes, collages, and sprite sheets. Use for single-image or batch image workflows.
Plan and build MCP servers with agent-friendly tools, schemas, error handling, and evaluation. Use when creating or refactoring MCP integrations.
| name | data-storyteller |
| description | Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and executive-ready outputs. |
Use this as the primary analytics skill for structured data. It now absorbs the repo's audit, comparison, statistics, pivot, experiment, and time-series helpers.
scripts/data_storyteller.py when the user wants a cohesive report.data_quality_auditor.pydataset_comparer.pycorrelation_explorer.pyoutlier_detective.pystatistical_analyzer.pysurvey_analyzer.pyts_decomposer.pypivot_table_generator.pyab_test_calc.pyroi_calculator.pybudget_analyzer.py