reducedmatrice/badmintoncoachagent/ppt-generation

Claude Code and agent skill by reducedmatrice/badmintoncoachagent

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Use this skill when the user requests to generate, create, or make presentations (PPT/PPTX). Creates visually rich slides by generating images for each slide and composing them into a PowerPoint file.

Install

npx vskill@latest install reducedmatrice/badmintoncoachagent/ppt-generation

SKILL.md

The same SKILL.md was published earlier as fang503/antflow/ppt-generation.

PPT Generation Skill

Overview

This skill generates professional PowerPoint presentations by creating AI-generated images for each slide and composing them into a PPTX file. The workflow includes planning the presentation structure with a consistent visual style, generating slide images sequentially (using the previous slide as a reference for style consistency), and assembling them into a final presentation.

Core Capabilities

  • Plan and structure multi-slide presentations with unified visual style
  • Support multiple presentation styles: Business, Academic, Minimal, Apple Keynote, Creative
  • Generate unique AI images for each slide using image-generation skill
  • Maintain visual consistency by using previous slide as reference image
  • Compose images into a professional PPTX file

Presentation Styles

Choose one of the following styles when creating the presentation plan:

StyleDescriptionBest For
glassmorphismFrosted glass panels with blur effects, floating translucent cards, vibrant gradient backgrounds, depth through layeringTech products, AI/SaaS demos, futuristic pitches
dark-premiumRich black backgrounds (#0a0a0a), luminous accent colors, subtle glow effects, luxury brand aestheticPremium products, executive presentations, high-end brands
gradient-modernBold mesh gradients, fluid color transitions, contemporary typography, vibrant yet sophisticatedStartups, creative agencies, brand launches
neo-brutalistRaw bold typography, high contrast, intentional "ugly" aesthetic, anti-design as design, Memphis-inspiredEdgy brands, Gen-Z targeting, disruptive startups
3d-isometricClean isometric illustrations, floating 3D elements, soft shadows, tech-forward aestheticTech explainers, product features, SaaS presentations
editorialMagazine-quality layouts, sophisticated typography hierarchy, dramatic photography, Vogue/Bloomberg aestheticAnnual reports, luxury brands, thought leadership
minimal-swissGrid-based precision, Helvetica-inspired typography, bold use of negative space, timeless modernismArchitecture, design firms, premium consulting
keynoteApple-inspired aesthetic with bold typography, dramatic imagery, high contrast, cinematic feelKeynotes, product reveals, inspirational talks

Workflow

Step 1: Understand Requirements

When a user requests presentation generation, identify:

  • Topic/subject: What is the presentation about
  • Number of slides: How many slides are needed (default: 5-10)
  • Style: business / academic / minimal / keynote / creative
  • Aspect ratio: Standard (16:9) or classic (4:3)
  • Content outline: Key points for each slide
  • You don't need to check the folder under /mnt/user-data
Step 2: Create Presentation Plan

Create a JSON file in /mnt/user-data/workspace/ with the presentation structure. Important: Include the style field to define the overall visual consistency.

json
{
"title": "Presentation Title",
"style": "keynote",
"style_guidelines": {
"color_palette": "Deep black backgrounds, white text, single accent color (blue or orange)",
"typography": "Bold sans-serif headlines, clean body text, dramatic size contrast",
"imagery": "High-quality photography, full-bleed images, cinematic composition",
"layout": "Generous whitespace, centered focus, minimal elements per slide"
},
"aspect_ratio": "16:9",
"slides": [
{
"slide_number": 1,
"type": "title",
"title": "Main Title",
"subtitle": "Subtitle or tagline",
"visual_description": "Detailed description for image generation"
},
{
"slide_number": 2,
"type": "content",
"title": "Slide Title",
"key_points": ["Point 1", "Point 2", "Point 3"],
"visual_description": "Detailed description for image generation"
}
]
}
Step 3: Generate Slide Images Sequentially

IMPORTANT: Generate slides strictly one by one, in order. Do NOT parallelize or batch image generation. Each slide depends on the previous slide's output as a reference image. Generating slides in parallel will break visual consistency and is not allowed.

  1. Read the image-generation skill: /mnt/skills/public/image-generation/SKILL.md
  1. For the FIRST slide (slide 1), create a prompt that establishes the visual style:
json
{
"prompt": "Professional presentation slide. [style_guidelines from plan]. Title: 'Your Title'. [visual_description]. This slide establishes the visual language for the entire presentation.",
"style": "[Based on chosen style - e.g., Apple Keynote aesthetic, dramatic lighting, cinematic]",
"composition": "Clean layout with clear text hierarchy, [style-specific composition]",
"color_palette": "[From style_guidelines]",
"typography": "[From style_guidelines]"
}
bash
python /mnt/skills/public/image-generation/scripts/generate.py \
--prompt-file /mnt/user-data/workspace/slide-01-prompt.json \
--output-file /mnt/user-data/outputs/slide-01.jpg \
--aspect-ratio 16:9
  1. For subsequent slides (slide 2+), use the PREVIOUS slide as a reference image:
json
{
"prompt": "Professional presentation slide continuing the visual style from the reference image. Maintain the same color palette, typography style, and overall aesthetic. Title: 'Slide Title'. [visual_description]. Keep visual consistency with the reference.",
"style": "Match the style of the reference image exactly",
"composition": "Similar layout principles as reference, adapted for this content",
"color_palette": "Same as reference image",
"consistency_note": "This slide must look like it belongs in the same presentation as the reference image"
}
bash
python /mnt/skills/public/image-generation/scripts/generate.py \
--prompt-file /mnt/user-data/workspace/slide-02-prompt.json \
--reference-images /mnt/user-data/outputs/slide-01.jpg \
--output-file /mnt/user-data/outputs/slide-02.jpg \
--aspect-ratio 16:9
  1. Continue for all remaining slides, always referencing the previous slide:
bash
# Slide 3 references slide 2
python /mnt/skills/public/image-generation/scripts/generate.py \
--prompt-file /mnt/user-data/workspace/slide-03-prompt.json \
--reference-images /mnt/user-data/outputs/slide-02.jpg \
--output-file /mnt/user-data/outputs/slide-03.jpg \
--aspect-ratio 16:9
# Slide 4 references slide 3
python /mnt/skills/public/image-generation/scripts/generate.py \
--prompt-file /mnt/user-data/workspace/slide-04-prompt.json \
--reference-images /mnt/user-data/outputs/slide-03.jpg \
--output-file /mnt/user-data/outputs/slide-04.jpg \
--aspect-ratio 16:9
Step 4: Compose PPT

After all slide images are generated, call the composition script:

bash
python /mnt/skills/public/ppt-generation/scripts/generate.py \
--plan-file /mnt/user-data/workspace/presentation-plan.json \
--slide-images /mnt/user-data/outputs/slide-01.jpg /mnt/user-data/outputs/slide-02.jpg /mnt/user-data/outputs/slide-03.jpg \
--output-file /mnt/user-data/outputs/presentation.pptx

Parameters:

  • --plan-file: Absolute path to the presentation plan JSON file (required)
  • --slide-images: Absolute paths to slide images in order (required, space-separated)
  • --output-file: Absolute path to output PPTX file (required)

[!NOTE] Do NOT read the python file, just call it with the parameters.

Complete Example: Glassmorphism Style (最现代前卫)

User request: "Create a presentation about AI product launch"

Step 1: Create presentation plan

Create /mnt/user-data/workspace/ai-product-plan.json:

json
{
"title": "Introducing Nova AI",
"style": "glassmorphism",
"style_guidelines": {
"color_palette": "Vibrant purple-to-cyan gradient background (#667eea→#00d4ff), frosted glass panels with 15-20% white opacity, electric accents",
"typography": "SF Pro Display style, bold 700 weight white titles with subtle text-shadow, clean 400 weight body text, excellent contrast on glass",
"imagery": "Abstract 3D glass spheres, floating translucent geometric shapes, soft luminous orbs, depth through layered transparency",
"layout": "Centered frosted glass cards with 32px rounded corners, 48-64px padding, floating above gradient, layered depth with soft shadows",
"effects": "Backdrop blur 20-40px on glass panels, subtle white border glow, soft colored shadows matching gradient, light refraction effects",
"visual_language": "Apple Vision Pro / visionOS aesthetic, premium depth through transparency, futuristic yet approachable, 2024 design trends"
},
"aspect_ratio": "16:9",
"slides": [
{
"slide_number": 1,
"type": "title",
"title": "Introducing Nova AI",
"subtitle": "Intelligence, Reimagined",
"visual_description": "Stunning gradient background flowing from deep purple (#667eea) through magenta to cyan (#00d4ff). Center: large frosted glass panel with strong backdrop blur, containing bold white title 'Introducing Nova AI' and lighter subtitle. Floating 3D glass spheres and abstract shapes around the card creating depth. Soft glow emanating from behind the glass panel. Premium visionOS aesthetic. The glass card has subtle white border (1px rgba 255,255,255,0.3) and soft purple-tinted shadow."
},
{
"slide_number": 2,
"type": "content",
"title": "Why Nova?",
"key_points": ["10x faster processing", "Human-like understanding", "Enterprise-grade security"],
"visual_description": "Same purple-cyan gradient background. Left side: floating frosted glass card with title 'Why Nova?' in bold white, three key points below with subtle glass pill badges. Right side: abstract 3D visualization of neural network as interconnected glass nodes with soft glow. Floating translucent geometric shapes (icosahedrons, tori) adding depth. Consistent glassmorphism aesthetic with previous slide."
},
{
"slide_number": 3,
"type": "content",
"title": "How It Works",
"key_points": ["Natural language input", "Multi-modal processing", "Instant insights"],
"visual_description": "Gradient background consistent with previous slides. Central composition: three stacked frosted glass cards at slight angles showing the workflow steps, connected by soft glowing lines. Each card has an abstract icon. Floating glass orbs and light particles around the composition. Title 'How It Works' in bold white at top. Depth created through card layering and transparency."
},
{
"slide_number": 4,
"type": "content",
"title": "Built for Scale",
"key_points": ["1M+ concurrent users", "99.99% uptime", "Global infrastructure"],
"visual_description": "Same gradient background. Asymmetric layout: right side features large frosted glass panel with metrics displayed in bold typography. Left side: abstract 3D globe made of glass panels and connection lines, representing global scale. Floating data visualization elements as small glass cards with numbers. Soft ambient glow throughout. Premium tech aesthetic."
},
{
"slide_number": 5,
"type": "conclusion",
"title": "The Future Starts Now",
"subtitle": "Join the waitlist",
"visual_description": "Dramatic finale slide. Gradient background with slightly increased vibrancy. Central frosted glass card with bold title 'The Future Starts Now' and call-to-action subtitle. Behind the card: burst of soft light rays and floating glass particles creating celebration effect. Multiple layered glass shapes creating depth. The most visually impactful slide while maintaining style consistency."
}
]
}
Step 2: Read image-generation skill

Read /mnt/skills/public/image-generation/SKILL.md to understand how to generate images.

Step 3: Generate slide images sequentially with reference chaining

This is the start of the file. Read the full SKILL.md on GitHub.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
41
Repository forks
3
7-day trend score
19

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/reducedmatrice/badmintoncoachagent/ppt-generation/badge)](https://verified-skill.com/skills/reducedmatrice/badmintoncoachagent/ppt-generation)

Something wrong with this skill or its page? Tell us.