How does this differ from simple Markdown to PDF converters?

Unlike basic converters, this skill provides a full orchestration pipeline including high-resolution diagram capture, academic-style CSS, and standardized research report structures specifically for AI/ML benchmarks.

What tools are required to use this skill?

The skill relies on Pandoc for document conversion, WeasyPrint for PDF rendering, and Playwright (Node.js) for high-resolution diagram capture.

Is it suitable for creating slide decks or blog posts?

No, this skill is specifically optimized for formal, academic-style technical reports, whitepapers, and empirical study documentation rather than marketing or presentation materials.

Does it support high-quality image exports?

Yes, it includes a custom Playwright script that captures HTML diagrams at 2x resolution (retina quality) to avoid the blurriness common with standard CLI screenshot tools.

Benchmark Report Creator

Name: Benchmark Report Creator
Author: cskiro

bycskiro

Data Science & ML

Orchestrates the end-to-end creation of publication-quality AI/ML benchmark reports with high-resolution diagrams and PDF export.

About

The Benchmark Report Creator is a comprehensive workflow skill designed to transform raw experiment data into professional, academic-style documentation. It coordinates the entire pipeline—from structuring Markdown reports with research-grade templates to generating high-resolution diagrams via Playwright and producing polished PDFs using Pandoc and WeasyPrint. Ideal for researchers and developers who need to present AI/ML performance studies, the skill includes specialized CSS templates, high-res image capture scripts, and standardized layouts to ensure a consistent, professional aesthetic for technical whitepapers and empirical studies.

Key Features

0 GitHub stars
Command-line automation for converting Markdown to professional PDFs
High-resolution PNG capture (2x retina quality) for publication-grade figures
Pre-formatted sections for abstracts, methodologies, results, and limitations
End-to-end orchestration of document structure, diagramming, and PDF export
Academic CSS templates inspired by paralleLLM empathy v1.0/v2.0 standards

Use Cases

Generating standardized benchmark documentation for stakeholders
Documenting empirical research findings and technical whitepapers
Creating formal AI/ML model comparison and evaluation reports

About

Key Features

0 GitHub stars
Command-line automation for converting Markdown to professional PDFs
High-resolution PNG capture (2x retina quality) for publication-grade figures
Pre-formatted sections for abstracts, methodologies, results, and limitations
End-to-end orchestration of document structure, diagramming, and PDF export
Academic CSS templates inspired by paralleLLM empathy v1.0/v2.0 standards

Use Cases

Generating standardized benchmark documentation for stakeholders
Documenting empirical research findings and technical whitepapers
Creating formal AI/ML model comparison and evaluation reports