Data Storyteller

This is the workhorse analytics skill you'll want for turning CSVs into actual reports. It bundles a full toolkit: data quality audits, correlation exploration, outlier detection, statistical summaries, A/B test calculations, time series decomposition, and more. The smart part is it profiles your data first and picks the smallest useful analysis instead of running everything by default. Great for both quick exploratory work and polished executive summaries. The workflow pushes you to translate findings into plain English and call out data quality problems before drawing conclusions, which honestly should be table stakes but often isn't. If you're doing any kind of structured data analysis and need narrative output with charts, this covers the spread.

skills.sh installs: 236
GitHub stars: 131
last updated: Aug 21, 2026

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Install

$ npx -y skills add dkyazzentwatwa/chatgpt-skills --skill data-storyteller --agent claude-code

Installs into .claude/skills of the current project.

Files

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

Profile the dataset shape, column types, and missing-value risk.
Pick the smallest useful analysis path instead of running every script by default.
Start with scripts/data_storyteller.py when the user wants a cohesive report.
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
Translate outputs into plain-English findings, risks, and next actions.