data-storyteller
Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and executive-ready outputs.
git clone --depth 1 https://github.com/dkyazzentwatwa/chatgpt-skills /tmp/data-storyteller && cp -r /tmp/data-storyteller/data-storyteller ~/.claude/skills/data-storytellerSKILL.md
# Data Storyteller 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. ## Use This For - Executive summaries and narrative reports from CSV or spreadsheet data - Data quality audits, comparisons, and anomaly reviews - Statistical analysis, pivots, experiment reads, ROI and budget analysis - Survey summaries and time-series decomposition ## Workflow 1. Profile the dataset shape, column types, and missing-value risk. 2. Pick the smallest useful analysis path instead of running every script by default. 3. Start with `scripts/data_storyteller.py` when the user wants a cohesive report. 4. Reach for focused helpers when the task is narrow: - `data_quality_auditor.py` - `dataset_comparer.py` - `correlation_explorer.py` - `outlier_detective.py` - `statistical_analyzer.py` - `survey_analyzer.py` - `ts_decomposer.py` - `pivot_table_generator.py` - `ab_test_calc.py` - `roi_calculator.py` - `budget_analyzer.py` 5. Translate outputs into plain-English findings, risks, and next actions. ## Guardrails - Do not overstate causal claims from correlations. - Call out data quality problems before presenting strong conclusions. - Keep executive summaries short and move method detail behind them.
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.
Process audio and video with clipping, conversion, analysis, captions, thumbnails, GIFs, and batch utilities. Use for practical media manipulation workflows.
Extract text and structure from scans, images, and scanned PDFs. Use for OCR, searchable PDFs, table extraction, receipt parsing, and business card parsing.