dkyazzentwatwa/chatgpt-skills228 installs

data-storyteller

Q: How do I install this agent skill?

Run npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill data-storyteller.

Q: Is this agent skill safe to install?

Review the displayed partner audits, complete source, permissions, dependencies, and exact revision before installing.

Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and executive-ready outputs.

How do I install this agent skill?

npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill data-storyteller

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Is this agent skill safe to install?

Gen Agent Trust Hubpass
The skill is a comprehensive data analysis suite designed to process various data formats and generate narrative reports. The primary security consideration is the inherent risk of indirect prompt injection, as the tool ingests external data files that are subsequently summarized and interpreted by the agent. No malicious code, data exfiltration, or persistence mechanisms were detected.
Socketpass
No alerts
Snykpass
Risk: LOW · No issues
Runlayerwarn
3/3 files flagged
ZeroLeakspass
Score: 93/100 · 2 sections analyzed

What does this agent skill do?

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.

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.

How can the creator link this skill?

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/dkyazzentwatwa/chatgpt-skills/data-storyteller">View data-storyteller on skillZs</a>