What is considered a 'passing' score for a slide?

A score of 70 points is the passing threshold, while 80+ is considered good quality and 90+ is excellent.

Can it automatically fix my slides?

Yes, once the analysis is complete, the skill can propose and apply fixes such as splitting overfilled slides, adding missing headers, or formatting code snippets.

Does this require any local installations?

The skill uses 'uvx' to run SlideGauge dynamically. You only need 'uvx' available in your environment and network access to fetch the tool on its first use.

How does this skill detect a Marp presentation?

The skill automatically activates when it detects .md files containing 'marp: true' in the frontmatter or when you mention slide quality in your prompts.

What specific metrics does SlideGauge analyze?

It checks for bullet point density (max 6), total line count (max 16), presence of H1/H2 titles, image alt-text, color contrast, and code block length.

Marp Slide Quality Optimizer

Name: Marp Slide Quality Optimizer
Author: nibzard

bynibzard

Gestión de Contenido

Analyzes and enhances Marp markdown presentations by identifying quality issues and applying automated improvements based on SlideGauge metrics.

Acerca de

The Marp Slide Quality skill integrates the SlideGauge analysis tool directly into your workflow to ensure your Markdown-based presentations are professional, accessible, and engaging. It automatically evaluates slides for common pitfalls such as content overload, missing titles, and poor accessibility while providing actionable fixes. By scoring slides against industry-standard presentation rules, it helps developers and educators transform dense documentation into clear, high-quality visual decks with minimal manual effort.

Características Principales

Structural validation for missing headings and required exercise elements
0 GitHub stars
Automated slide quality scoring and baseline analysis using SlideGauge
Automated optimization of long code blocks and technical snippets
Accessibility auditing for color contrast and missing image alt-text
Detection and fixing of content overload (excessive bullets or lines)

Casos de Uso

Auditing internal training materials for accessibility and consistent structure
Streamlining the creation of Marp slides from existing project documentation
Refining technical conference decks to meet professional readability standards

Acerca de

Características Principales

Structural validation for missing headings and required exercise elements
0 GitHub stars
Automated slide quality scoring and baseline analysis using SlideGauge
Automated optimization of long code blocks and technical snippets
Accessibility auditing for color contrast and missing image alt-text
Detection and fixing of content overload (excessive bullets or lines)

Casos de Uso

Auditing internal training materials for accessibility and consistent structure
Streamlining the creation of Marp slides from existing project documentation
Refining technical conference decks to meet professional readability standards