Is this skill compatible with data visualization tools?

Yes, it is designed to work in tandem with visualization skills to embed Kroki charts, Mermaid diagrams, and Vega-Lite graphics into your presentations and papers.

What is the difference between Marp and Pandoc in this skill?

Marp is used for creating visual, markdown-based slide decks for presentations and meetings, while Pandoc is used for generating comprehensive, academic-style whitepapers and technical reports with citations.

Can I include SQL queries and source code in the reports?

Yes, the skill specifically emphasizes reproducibility by guiding you to include data sources, transformation SQL, and validation steps directly in the final output.

How does it help with narrative structure?

It provides specific frameworks like the 3-paragraph essay and 'Setup-Conflict-Resolution' storytelling patterns to ensure your data findings tell a clear, persuasive story.

Does it support automated citations?

Absolutely. It integrates with BibTeX and CSL formats to ensure all data sources and prior research are properly attributed according to professional standards.

Data Presentation & Reporting

Name: Data Presentation & Reporting
Author: tilmon-engineering

bytilmon-engineering

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Data Science & ML

Generates professional data-driven presentations and whitepapers using Marp and Pandoc with full citation support and reproducibility.

About

The presenting-data skill provides a structured framework for transforming raw analysis results into high-quality communication materials. It guides users through a comprehensive 5-phase process—audience analysis, narrative structuring, content creation, citation management, and output generation. By leveraging Marp for visual slide decks and Pandoc for rigorous technical whitepapers, it ensures that data findings are not only visually compelling for executives but also academically sound and fully reproducible for technical peers.

Key Features

2 GitHub stars
Citation management: Built-in support for BibTeX, CSL, and professional academic formatting
Reproducibility tracking: Integrated documentation of data sources, SQL queries, and methodologies
Dual-format output: Create visual slide decks with Marp or detailed whitepapers with Pandoc
Narrative frameworks: Structured guidance for 3-paragraph essay and storytelling patterns
Audience-specific templates: Tailored content structures for executive, technical, or mixed audiences

Use Cases

Presenting quarterly business growth and revenue findings to executive leadership
Documenting complex data science research with full methodology and academic citations
Creating technical whitepapers for internal architectural changes or policy proposals

About

Key Features

2 GitHub stars
Citation management: Built-in support for BibTeX, CSL, and professional academic formatting
Reproducibility tracking: Integrated documentation of data sources, SQL queries, and methodologies
Dual-format output: Create visual slide decks with Marp or detailed whitepapers with Pandoc
Narrative frameworks: Structured guidance for 3-paragraph essay and storytelling patterns
Audience-specific templates: Tailored content structures for executive, technical, or mixed audiences

Use Cases

Presenting quarterly business growth and revenue findings to executive leadership
Documenting complex data science research with full methodology and academic citations
Creating technical whitepapers for internal architectural changes or policy proposals