Slide Gen Content
Documentsslide-gen-contentSlide Gen Content is an Agent Skill for documents published in the majiayu000/claude-skill-registry repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
AI-powered content drafting, quality analysis, and optimization for presentation slides. Generates titles, bullets, speaker notes, and graphics descriptions.
QUICK START
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/data/slide-gen-content/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/slide-gen-content, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
Content Generation Skill
Generates and optimizes presentation content using Claude API with quality analysis.
Capabilities
- Content Drafting: Generate titles, bullets, speaker notes, graphics descriptions
- Quality Analysis: 5-dimension scoring (readability, tone, structure, redundancy, citations)
- Content Optimization: Automated improvement with before/after tracking
- Graphics Validation: Ensure descriptions are specific enough for image generation
Usage
Draft Content
python -m plugin.cli draft-content outline.md --output content.md
Analyze Quality
python -m plugin.cli analyze-quality content.md
Optimize Content
python -m plugin.cli optimize-content content.md --output optimized.md
Quality Dimensions
| Dimension | Weight | Description |
|---|---|---|
| Readability | 25% | Flesch-Kincaid score, sentence complexity |
| Tone | 20% | Consistency, audience appropriateness |
| Structure | 20% | Parallel construction, logical flow |
| Redundancy | 15% | Duplicate content detection |
| Citations | 20% | Source attribution, evidence support |
Output Format
Content is output as Markdown with frontmatter:
---
title: "Presentation Title"
author: "Generated"
date: "2026-01-04"
template: "stratfield"
quality_score: 8.5
---
# Slide 1: Introduction
## Title
Welcome to AI in Healthcare
## Bullets
- Point one with supporting detail
- Point two with evidence
- Point three with citation [1]
## Speaker Notes
Detailed notes for the presenter...
## Graphics Description
A modern hospital lobby with digital displays showing patient data dashboards...