AI-generated presentation slides composed into professional PowerPoint files with unified visual styling.
Works with
Supports eight distinct presentation styles (glassmorphism, dark-premium, gradient-modern, neo-brutalist, 3D isometric, editorial, minimal-Swiss, keynote) with detailed color, typography, and layout guidelines for each
Generates slide images sequentially with reference chaining—each slide uses the previous one as a visual reference to maintain consistent aesthetics across the entire
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionppt-generationExecute the skills CLI command in your project's root directory to begin installation:
Fetches ppt-generation from bytedance/deer-flow and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ppt-generation. Access via /ppt-generation in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
Choose one of the following styles when creating the presentation plan:
| Style | Description | Best For |
|---|---|---|
| glassmorphism | Frosted glass panels with blur effects, floating translucent cards, vibrant gradient backgrounds, depth through layering | Tech products, AI/SaaS demos, futuristic pitches |
| dark-premium | Rich black backgrounds (#0a0a0a), luminous accent colors, subtle glow effects, luxury brand aesthetic | Premium products, executive presentations, high-end brands |
| gradient-modern | Bold mesh gradients, fluid color transitions, contemporary typography, vibrant yet sophisticated | Startups, creative agencies, brand launches |
| neo-brutalist | Raw bold typography, high contrast, intentional "ugly" aesthetic, anti-design as design, Memphis-inspired | Edgy brands, Gen-Z targeting, disruptive startups |
| 3d-isometric | Clean isometric illustrations, floating 3D elements, soft shadows, tech-forward aesthetic | Tech explainers, product features, SaaS presentations |
| editorial | Magazine-quality layouts, sophisticated typography hierarchy, dramatic photography, Vogue/Bloomberg aesthetic | Annual reports, luxury brands, thought leadership |
| minimal-swiss | Grid-based precision, Helvetica-inspired typography, bold use of negative space, timeless modernism | Architecture, design firms, premium consulting |
| keynote | Apple-inspired aesthetic with bold typography, dramatic imagery, high contrast, cinematic feel | Keynotes, product reveals, inspirational talks |
When a user requests presentation generation, identify:
/mnt/user-dataCreate a JSON file in /mnt/user-data/workspace/ with the presentation structure. Important: Include the style field to define the overall visual consistency.
{
"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"
}
]
}
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.
Read the image-generation skill: /mnt/skills/public/image-generation/SKILL.md
For the FIRST slide (slide 1), create a prompt that establishes the visual style:
{
"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]"
}
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
{
"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"
}
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
# 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
After all slide images are generated, call the composition script:
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.
User request: "Create a presentation about AI product launch"
Create /mnt/user-data/workspace/ai-product-plan.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"Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
ppt-generation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for ppt-generation matched our evaluation — installs cleanly and behaves as described in the markdown.
We added ppt-generation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: ppt-generation is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend ppt-generation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
ppt-generation reduced setup friction for our internal harness; good balance of opinion and flexibility.
ppt-generation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
ppt-generation has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added ppt-generation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: ppt-generation is focused, and the summary matches what you get after install.
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