MCPInstall

data-storyteller

by dkyazzentwatwa

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

Installs
230
Last 24h
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Trending rank
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Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill data-storyteller
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads data-storyteller automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

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.

FAQ

What does the data-storyteller skill do?

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 data-storyteller?

Run npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill data-storyteller in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/data-storyteller/ (personal) or .claude/skills/data-storyteller/ (project).

Which AI agents can use data-storyteller?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is data-storyteller safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains data-storyteller?

It is published by dkyazzentwatwa in dkyazzentwatwa/chatgpt-skills. It has 230 recorded installs.

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