PPT Master
hugohe3/ppt-master
Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.
Creates a PowerPoint deck by planning the slide structure, generating one AI image per slide in a chosen visual style, and assembling the images into a PPTX file.
$ npx skills add bytedance/deer-flow --skill ppt-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install bytedance/deer-flow ppt-generation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/public/ppt-generation .claude/skills/ppt-generation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ppt-generation" agent skill from https://github.com/bytedance/deer-flow/tree/main/skills/public/ppt-generation into .claude/skills/ppt-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppt-generation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/bytedance/deer-flow/tree/main/skills/public/ppt-generationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add bytedance/deer-flow --skill ppt-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install bytedance/deer-flow ppt-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/public/ppt-generation .agents/skills/ppt-generation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ppt-generation" agent skill from https://github.com/bytedance/deer-flow/tree/main/skills/public/ppt-generation into .agents/skills/ppt-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppt-generation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add bytedance/deer-flow --skill ppt-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install bytedance/deer-flow ppt-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/public/ppt-generation .cursor/skills/ppt-generation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ppt-generation" agent skill from https://github.com/bytedance/deer-flow/tree/main/skills/public/ppt-generation into .cursor/skills/ppt-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppt-generation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/bytedance/deer-flow.git --path skills/public/ppt-generation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add bytedance/deer-flow --skill ppt-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install bytedance/deer-flow ppt-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/public/ppt-generation .gemini/skills/ppt-generation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ppt-generation" agent skill from https://github.com/bytedance/deer-flow/tree/main/skills/public/ppt-generation into .gemini/skills/ppt-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppt-generation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install bytedance/deer-flow ppt-generationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add bytedance/deer-flow --skill ppt-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/public/ppt-generation .github/skills/ppt-generation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ppt-generation" agent skill from https://github.com/bytedance/deer-flow/tree/main/skills/public/ppt-generation into .github/skills/ppt-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppt-generation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add bytedance/deer-flow --skill ppt-generation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install bytedance/deer-flow ppt-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/bytedance/deer-flow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/public/ppt-generation .opencode/skills/ppt-generation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ppt-generation" agent skill from https://github.com/bytedance/deer-flow/tree/main/skills/public/ppt-generation into .opencode/skills/ppt-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ppt-generation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ppt-generationCreates a PowerPoint deck by planning the slide structure, generating one AI image per slide in a chosen visual style, and assembling the images into a PPTX file.
This skill produces presentations where every slide is an AI-generated image, assembled into a PPTX file by scripts/generate.py. The agent first plans the deck's structure and picks a single visual style, then generates the slide images one at a time, passing the previous slide in as a reference image so the look stays consistent. Image creation itself is delegated to a separate image-generation skill.
Eight named styles are offered, each paired with suggested uses: glassmorphism, dark-premium, gradient-modern, neo-brutalist, 3d-isometric, editorial, minimal-swiss and keynote. Dark-premium, for example, is described with near-black backgrounds and luminous accent colors, and minimal-swiss with grid-based layouts and generous negative space. Broader presets such as Business, Academic, Minimal, Apple Keynote and Creative are also listed. The result is a deck built from slide images.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit be34cc4. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
AI Image PowerPoint Generator loads about 7.1k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 973 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from bytedance/deer-flow at commit be34cc4, republished under its MIT licence (© bytedance). 973 words, ~7,073 tokens.
.claude/skills/ppt-generation/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.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 16:9After 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.pptxParameters:
--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": "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."
}
]
}Read /mnt/skills/public/image-generation/SKILL.md to understand how to generate images.
Slide 1 - Title (establishes the visual language):
Create /mnt/user-data/workspace/nova-slide-01.json:
{
"prompt": "Ultra-premium presentation title slide with glassmorphism design. Background: smooth flowing gradient from deep purple (#667eea) through magenta (#f093fb) to cyan (#00d4ff), soft and vibrant. Center: large frosted glass panel with strong backdrop blur effect, rounded corners 32px, containing bold white sans-serif title 'Introducing Nova AI' (72pt, SF Pro Display style, font-weight 700) with subtle text shadow, subtitle 'Intelligence, Reimagined' below in lighter weight. The glass panel has subtle white border (1px rgba 255,255,255,0.25) and soft purple-tinted drop shadow. Floating around the card: 3D glass spheres with refraction, translucent geometric shapes (icosahedrons, abstract blobs), creating depth and dimension. Soft luminous glow emanating from behind the glass panel. Small floating particles of light. Apple Vision Pro / visionOS UI aesthetic. Professional presentation slide, 16:9 aspect ratio. Hyper-modern, premium tech product launch feel.",
"style": "Glassmorphism, visionOS aesthetic, Apple Vision Pro UI style, premium tech, 2024 design trends",
"composition": "Centered glass card as focal point, floating 3D elements creating depth at edges, 40% negative space, clear visual hierarchy",
"lighting": "Soft ambient glow from gradient, light refraction through glass elements, subtle rim lighting on 3D shapes",
"color_palette": "Purple gradient #667eea, magenta #f093fb, cyan #00d4ff, frosted white rgba(255,255,255,0.15), pure white text #ffffff",
"effects": "Backdrop blur on glass panels, soft drop shadows with color tint, light refraction, subtle noise texture on glass, floating particles"
}python /mnt/skills/public/image-generation/scripts/generate.py \
--prompt-file /mnt/user-data/workspace/nova-slide-01.json \
--output-file /mnt/user-data/outputs/nova-slide-01.jpg \
--aspect-ratio 16:9Slide 2 - Content (MUST reference slide 1 for consistency):
Create /mnt/user-data/workspace/nova-slide-02.json:
{
"prompt": "Presentation slide continuing EXACT visual style from reference image. SAME purple-to-cyan gradient background, SAME glassmorphism aesthetic, SAME typography style. Left side: frosted glass card with backdrop blur containing title 'Why Nova?' in bold white (matching reference font style), three feature points as subtle glass pill badges below. Right side: abstract 3D neural network visualization made of interconnected glass nodes with soft cyan glow, floating in space. Floating translucent geometric shapes (matching style from reference) adding depth. The frosted glass has identical treatment: white border, purple-tinted shadow, same blur intensity. CRITICAL: This slide must look like it belongs in the exact same presentation as the reference image - same colors, same glass treatment, same overall aesthetic.",
"style": "MATCH REFERENCE EXACTLY - Glassmorphism, visionOS aesthetic, same visual language",
"composition": "Asymmetric split: glass card left (40%), 3D visualization right (40%), breathing room between elements",
"color_palette": "EXACTLY match reference: purple #667eea, cyan #00d4ff gradient, same frosted white treatment, same text white",
"consistency_note": "CRITICAL: Must be visually identical in style to reference image. Same gradient colors, same glass blur intensity, same shadow treatment, same typography weight and style. Viewer should immediately recognize this as the same presentation."
}python /mnt/skills/public/image-generation/scripts/generate.py \
--prompt-file /mnt/user-data/workspace/nova-slide-02.json \
--reference-images /mnt/user-data/outputs/nova-slide-01.jpg \
--output-file /mnt/user-data/outputs/nova-slide-02.jpg \
--aspect-ratio 16:9Slides 3-5: Continue the same pattern, each referencing the previous slide
Key consistency rules for subsequent slides:
consistency_note emphasizing style matchingpython /mnt/skills/public/ppt-generation/scripts/generate.py \
--plan-file /mnt/user-data/workspace/nova-plan.json \
--slide-images /mnt/user-data/outputs/nova-slide-01.jpg /mnt/user-data/outputs/nova-slide-02.jpg /mnt/user-data/outputs/nova-slide-03.jpg /mnt/user-data/outputs/nova-slide-04.jpg /mnt/user-data/outputs/nova-slide-05.jpg \
--output-file /mnt/user-data/outputs/nova-presentation.pptx{
"style": "glassmorphism",
"style_guidelines": {
"color_palette": "Vibrant gradient backgrounds (purple #667eea to pink #f093fb, or cyan #4facfe to blue #00f2fe), frosted white panels with 20% opacity, accent colors that pop against the gradient",
"typography": "SF Pro Display or Inter font style, bold 600-700 weight titles, clean 400 weight body, white text with subtle drop shadow for readability on glass",
"imagery": "Abstract 3D shapes floating in space, soft blurred orbs, geometric primitives with glass material, depth through overlapping translucent layers",
"layout": "Floating card panels with backdrop-blur effect, generous padding (48-64px), rounded corners (24-32px radius), layered depth with subtle shadows",
"effects": "Frosted glass blur (backdrop-filter: blur 20px), subtle white border (1px rgba 255,255,255,0.2), soft glow behind panels, floating elements with drop shadows",
"visual_language": "Premium tech aesthetic like Apple Vision Pro UI, depth through transparency, light refracting through glass surfaces"
}
}{
"style": "dark-premium",
"style_guidelines": {
"color_palette": "Deep black base (#0a0a0a to #121212), luminous accent color (electric blue #00d4ff, neon purple #bf5af2, or gold #ffd700), subtle gray gradients for depth (#1a1a1a to #0a0a0a)",
"typography": "Elegant sans-serif (Neue Haas Grotesk or Suisse Int'l style), dramatic size contrast (72pt+ headlines, 18pt body), letter-spacing -0.02em for headlines, pure white (#ffffff) text",
"imagery": "Dramatic studio lighting, rim lights and edge glow, cinematic product shots, abstract light trails, premium material textures (brushed metal, matte surfaces)",
"layout": "Generous negative space (60%+), asymmetric balance, content anchored to grid but with breathing room, single focal point per slide",
"effects": "Subtle ambient glow behind key elements, light bloom effects, grain texture overlay (2-3% opacity), vignette on edges",
"visual_language": "Luxury tech brand aesthetic (Bang & Olufsen, Porsche Design), sophistication through restraint, every element intentional"
}
}{
"style": "gradient-modern",
"style_guidelines": {
"color_palette": "Bold mesh gradients (Stripe/Linear style: purple-pink-orange #7c3aed→#ec4899→#f97316, or cool tones: cyan-blue-purple #06b6d4→#3b82f6→#8b5cf6), white or dark text depending on background intensity",
"typography": "Modern geometric sans-serif (Satoshi, General Sans, or Clash Display style), variable font weights, oversized bold headlines (80pt+), comfortable body text (20pt)",
"imagery": "Abstract fluid shapes, morphing gradients, 3D rendered abstract objects, soft organic forms, floating geometric primitives",
"layout": "Dynamic asymmetric compositions, overlapping elements with blend modes, text integrated with gradient flows, full-bleed backgrounds",
"effects": "Smooth gradient transitions, subtle noise texture (3-5% for depth), soft shadows with color tint matching gradient, motion blur suggesting movement",
"visual_language": "Contemporary SaaS aesthetic (Stripe, Linear, Vercel), energetic yet professional, forward-thinking tech vibes"
}
}{
"style": "neo-brutalist",
"style_guidelines": {
"color_palette": "High contrast primaries: stark black, pure white, with bold accent (hot pink #ff0080, electric yellow #ffff00, or raw red #ff0000), optional: Memphis-inspired pastels as secondary",
"typography": "Ultra-bold condensed type (Impact, Druk, or Bebas Neue style), UPPERCASE headlines, extreme size contrast, intentionally tight or overlapping letter-spacing",
"imagery": "Raw unfiltered photography, intentional visual noise, halftone patterns, cut-out collage aesthetic, hand-drawn elements, stickers and stamps",
"layout": "Broken grid, overlapping elements, thick black borders (4-8px), visible structure, anti-whitespace (dense but organized chaos)",
"effects": "Hard shadows (no blur, offset 8-12px), pixelation accents, scan lines, CRT screen effects, intentional 'mistakes'",
"visual_language": "Anti-corporate rebellion, DIY zine aesthetic meets digital, raw authenticity, memorable through boldness"
}
}{
"style": "3d-isometric",
"style_guidelines": {
"color_palette": "Soft contemporary palette: muted purples (#8b5cf6), teals (#14b8a6), warm corals (#fb7185), with cream or light gray backgrounds (#fafafa), consistent saturation across elements",
"typography": "Friendly geometric sans-serif (Circular, Gilroy, or Quicksand style), medium weight headlines, excellent readability, comfortable 24pt body text",
"imagery": "Clean isometric 3D illustrations, consistent 30° isometric angle, soft clay-render aesthetic, floating platforms and devices, cute simplified objects",
"layout": "Central isometric scene as hero, text balanced around 3D elements, clear visual hierarchy, comfortable margins (64px+)",
"effects": "Soft drop shadows (20px blur, 30% opacity), ambient occlusion on 3D objects, subtle gradients on surfaces, consistent light source (top-left)",
"visual_language": "Friendly tech illustration (Slack, Notion, Asana style), approachable complexity, clarity through simplification"
}
}{
"style": "editorial",
"style_guidelines": {
"color_palette": "Sophisticated neutrals: off-white (#f5f5f0), charcoal (#2d2d2d), with single accent color (burgundy #7c2d12, forest #14532d, or navy #1e3a5f), occasional full-color photography",
"typography": "Refined serif for headlines (Playfair Display, Freight, or Editorial New style), clean sans-serif for body (Söhne, Graphik), dramatic size hierarchy (96pt headlines, 16pt body), generous line-height 1.6",
"imagery": "Magazine-quality photography, dramatic crops, full-bleed images, portraits with intentional negative space, editorial lighting (Vogue, Bloomberg Businessweek style)",
"layout": "Sophisticated grid system (12-column), intentional asymmetry, pull quotes as design elements, text wrapping around images, elegant margins",
"effects": "Minimal effects - let photography and typography shine, subtle image treatments (slight desaturation, film grain), elegant borders and rules",
"visual_language": "High-end magazine aesthetic, intellectual sophistication, content elevated through design restraint"
}
}{
"style": "minimal-swiss",
"style_guidelines": {
"color_palette": "Pure white (#ffffff) or off-white (#fafaf9) backgrounds, true black (#000000) text, single bold accent (Swiss red #ff0000, Klein blue #002fa7, or signal yellow #ffcc00)",
"typography": "Helvetica Neue or Aktiv Grotesk, strict type scale (12/16/24/48/96), medium weight for body, bold for emphasis only, flush-left ragged-right alignment",
"imagery": "Objective photography, geometric shapes, clean iconography, mathematical precision, intentional empty space as compositional element",
"layout": "Strict grid adherence (baseline grid visible in spirit), modular compositions, generous whitespace (40%+ of slide), content aligned to invisible grid lines",
"effects": "None - purity of form, no shadows, no gradients, no decorative elements, occasional single hairline rules",
"visual_language": "International Typographic Style, form follows function, timeless modernism, Dieter Rams-inspired restraint"
}
}{
"style": "keynote",
"style_guidelines": {
"color_palette": "Deep blacks (#000000 to #1d1d1f), pure white text, signature blue (#0071e3) or gradient accents (purple-pink for creative, blue-teal for tech)",
"typography": "San Francisco Pro Display, extreme weight contrast (bold 80pt+ titles, light 24pt body), negative letter-spacing on headlines (-0.03em), optical alignment",
"imagery": "Cinematic photography, shallow depth of field, dramatic lighting (rim lights, spot lighting), product hero shots with reflections, full-bleed imagery",
"layout": "Maximum negative space, single powerful image or statement per slide, content centered or dramatically offset, no clutter",
"effects": "Subtle gradient overlays, light bloom and glow on key elements, reflection on surfaces, smooth gradient backgrounds",
"visual_language": "Apple WWDC keynote aesthetic, confidence through simplicity, every pixel considered, theatrical presentation"
}
}After generation:
/mnt/user-data/outputs/present_files toolPrompt Engineering for Professional Results:
Visual Consistency (Most Important):
consistency_note field in every JSON prompt after slide 1Design Principles for Modern Aesthetics:
Common Mistakes to Avoid:
Recommended Styles for Different Contexts:
glassmorphism or gradient-moderndark-premium or editorialgradient-modern or minimal-swissdark-premium or keynoteneo-brutalist or gradient-modernminimal-swiss or 3d-isometric© bytedance, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (scripts) in skills/public/ppt-generation of bytedance/deer-flow.
Open the folder on GitHubat commit be34cc4
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in bytedance/deer-flow, which our catalogue first saw on October 7, 2026.
AI Image PowerPoint Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Image PowerPoint Generator this skillbytedance/deer-flow | 83k | 4 repos | ~7.1k | Automated safety check: Pass | MIT | |
| PPT Masterhugohe3/ppt-master | 58k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Image to Editable PPTXYuan1z0825/nature-skills | 46k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Open Kimi Pptjinwyp/open-ppt-skill | 157 | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| McKinsey-Style PPT Designlikaku/Mck-ppt-design-skill | 298 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| PPTX Deck EditorEveryInc/hands-on-deck | 219 | — | ~2.9k | Automated safety check: Pass | MIT |
hugohe3/ppt-master
Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.
Yuan1z0825/nature-skills
Rebuilds slide images, screenshots, scanned PDFs or image-only PPTX files as PowerPoint with editable objects, using a local CLI with per-page manifests and QA.
jinwyp/open-ppt-skill
Create, edit, replicate, read, and export presentations. An agent skill from jinwyp/open-ppt-skill.
likaku/Mck-ppt-design-skill
Builds consultant-style PowerPoint decks from scratch with the MckEngine python-pptx wrapper, through a five-stage flow with scripted quality gates.
EveryInc/hands-on-deck
Reads, edits, creates, merges and visually verifies .pptx decks through one script, deck.py, which applies atomic JSON patches.
TokenRhythm/opensquilla
Reads, edits in place, or creates PowerPoint .pptx decks, picking one of three paths based on what tools and files are available.
bytedance/deer-flow
Deploys a project to Vercel with one script and no login, then returns a live preview URL and a claim link for moving the deployment into your own Vercel account.
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
bytedance/deer-flow
Turns an image request into a structured JSON prompt and runs a bundled Python script to generate the picture, optionally guided by reference images.
bytedance/deer-flow
Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.
bytedance/deer-flow
Walks through an end-to-end smoke test of a DeerFlow deployment: pull the latest code, deploy with Docker or locally, verify services, run health checks and write a report.
Works with
Categories
Creates a PowerPoint deck by planning the slide structure, generating one AI image per slide in a chosen visual style, and assembling the images into a PPTX file. py. The agent first plans the deck's structure and picks a single visual style, then generates the slide images one at a time, passing the previous slide in as a reference image so the look stays consistent.
AI Image PowerPoint Generator fits situations like: making a visually rich presentation without starting from a template; producing a pitch or product deck in a specific visual style; keeping a consistent look across AI-generated slide images.
Run `npx skills add bytedance/deer-flow --skill ppt-generation -a claude-code`. Or copy the skill folder (skills/public/ppt-generation in bytedance/deer-flow) into .claude/skills/ppt-generation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add bytedance/deer-flow --skill ppt-generation -a codex`. Or copy the skill folder (skills/public/ppt-generation in bytedance/deer-flow) into .agents/skills/ppt-generation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bytedance/deer-flow --skill ppt-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ppt-generation, .gemini/skills/ppt-generation, .github/skills/ppt-generation and .opencode/skills/ppt-generation in your project.
Going by SKILL.md and its folder, AI Image PowerPoint Generator needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: The companion image-generation skill; Python to run scripts/generate.py.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
AI Image PowerPoint Generator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 7.1k tokens (SKILL.md is roughly 28k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with AI Image PowerPoint Generator: PPT Master (hugohe3/ppt-master, 58k stars), Image to Editable PPTX (Yuan1z0825/nature-skills, 46k stars), Open Kimi Ppt (jinwyp/open-ppt-skill, 157 stars) and McKinsey-Style PPT Design (likaku/Mck-ppt-design-skill, 298 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
bytedance (a GitHub organization) maintains it in bytedance/deer-flow, which has 83,484 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 8, 2026.
Source: bytedance/deer-flow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.