Data Storyteller
Transforms complex data into engaging, narrative-driven stories with visualizations for clear understanding and impactful insights.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add dkyazzentwatwa-data-storyteller npx -- -y @trustedskills/dkyazzentwatwa-data-storyteller
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"dkyazzentwatwa-data-storyteller": {
"command": "npx",
"args": [
"-y",
"@trustedskills/dkyazzentwatwa-data-storyteller"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The Data Storyteller skill transforms complex data from CSV or spreadsheet files into engaging, narrative-driven reports with visualizations. It consolidates several analytics helpers including audit, comparison, statistics, pivot tables, experiment analysis, and time series decomposition. The tool translates these analyses into clear findings, risks, and recommended next actions for improved understanding and impactful insights. This skill is designed to be the primary analytics tool for structured data.
When to use it
- Creating executive summaries and narrative reports from CSV or spreadsheet data.
- Performing data quality audits, comparisons, and anomaly reviews.
- Analyzing statistical data, pivoting tables, experiment results, ROI, and budgets.
- Summarizing survey responses and performing time-series decomposition.
Key capabilities
- Data profiling (shape, column types, missing values)
- Data quality auditing
- Dataset comparison
- Correlation exploration
- Outlier detection
- Statistical analysis
- Survey summarization
- Time series decomposition
- Pivot table generation
- A/B test calculation
- ROI and budget analysis
Example prompts
- "Create an executive summary report from this CSV file."
- "Perform a data quality audit on this spreadsheet and highlight any issues."
- "Analyze the survey results and provide a narrative summary of key findings."
Tips & gotchas
- Start with
scripts/data_storyteller.pyfor cohesive reports, or use focused helper scripts (e.g.,data_quality_auditor.py) for narrow tasks. - Be mindful of the guardrails: avoid overstating causal claims from correlations and always call out data quality problems upfront.
- Keep executive summaries concise and move detailed methodology behind them.
Tags
TrustedSkills Verification
Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.
Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.