### Scientific Slides
Works with
name: "scientific-slides"
description: "Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific..."
allowed-tools: "Read Write Edit Bash"
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionscientific-slidesExecute the skills CLI command in your project's root directory to begin installation:
Fetches scientific-slides from K-Dense-AI/scientific-agent-skills 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 scientific-slides. Access via /scientific-slides 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.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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| name | scientific-slides |
| description | Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer. |
| allowed-tools | Read Write Edit Bash |
| license | MIT license |
| metadata | version: "1.0" skill-author: K-Dense Inc. |
Scientific presentations are a critical medium for communicating research, sharing findings, and engaging with academic and professional audiences. This skill provides comprehensive guidance for creating effective scientific presentations, from structure and content development to visual design and delivery preparation.
Key Focus: Oral presentations for conferences, seminars, defenses, and professional talks.
CRITICAL DESIGN PHILOSOPHY: Scientific presentations should be VISUALLY ENGAGING and RESEARCH-BACKED. Avoid dry, text-heavy slides at all costs. Great scientific presentations combine:
Remember: Boring presentations = forgotten science. Make your slides visually memorable while maintaining scientific rigor through proper citations.
This skill should be used when:
This skill uses Nano Banana Pro AI to generate stunning presentation slides automatically.
There are two workflows depending on output format:
Generate each slide as a complete image using Nano Banana Pro, then combine into a PDF. This produces the most visually stunning results.
How it works:
Step 1: Plan Each Slide
Before generating, create a detailed plan for your presentation:
# Presentation Plan: Introduction to Machine Learning
## Slide 1: Title Slide
- Title: "Machine Learning: From Theory to Practice"
- Subtitle: "AI Conference 2025"
- Speaker: Dr. Jane Smith, University of XYZ
- Visual: Modern abstract neural network background
## Slide 2: Introduction
- Title: "Why Machine Learning Matters"
- Key points: Industry adoption, breakthrough applications, future potential
- Visual: Icons showing different ML applications (healthcare, finance, robotics)
## Slide 3: Core Concepts
- Title: "The Three Types of Learning"
- Content: Supervised, Unsupervised, Reinforcement
- Visual: Three-part diagram showing each type with examples
... (continue for all slides)
Step 2: Generate Each Slide
Use the generate_slide_image.py script to create each slide.
CRITICAL: Formatting Consistency Protocol
To ensure unified formatting across all slides in a presentation:
Define a Formatting Goal at the start of your presentation and include it in EVERY prompt:
Always attach the previous slide when generating subsequent slides using --attach:
Default author is "K-Dense" unless another name is specified
Include citations directly in the prompt for slides that reference research:
Attach existing figures/data for results slides (CRITICAL for data-driven presentations):
figures/, results/, plots/, images/)--attach to include these figures so Nano Banana Pro can incorporate them:
--attach fig1.png --attach fig2.pngExample with formatting consistency, citations, and figure attachments:
# Title slide (first slide - establishes the style)
python scripts/generate_slide_image.py "Title slide for presentation: 'Machine Learning: From Theory to Practice'. Subtitle: 'AI Conference 2025'. Speaker: K-Dense. FORMATTING GOAL: Dark blue background (#1a237e), white text, gold accents (#ffc107), minimal design, sans-serif fonts, generous margins, no decorative elements." -o slides/01_title.png
# Content slide with citations (attach previous slide for consistency)
python scripts/generate_slide_image.py "Presentation slide titled 'Why Machine Learning Matters'. Three key points with simple icons: 1) Industry adoption, 2) Breakthrough applications, 3) Future potential. CITATIONS: Include at bottom in small text: (LeCun et al., 2015; Goodfellow et al., 2016). FORMATTING GOAL: Match attached slide style - dark blue background, white text, gold accents, minimal professional design, no visual clutter." -o slides/02_intro.png --attach slides/01_title.png
# Background slide with multiple citations
python scripts/generate_slide_image.py "Presentation slide titled 'Deep Learning Revolution'. Key milestones: ImageNet breakthrough (2012), transformer architecture (2017), GPT models (2018-present). CITATIONS: Show references at bottom: (Krizhevsky et al., 2012; Vaswani et al., 2017; Brown et al., 2020). FORMATTING GOAL: Match attached slide style exactly - same colors, fonts, minimal design." -o slides/03_background.png --attach slides/02_intro.png
# RESULTS SLIDE - Attach actual data figure from working directory
# First, check what figures exist: ls figures/ or ls results/
python scripts/generate_slide_image.py "Presentation slide titled 'Model Performance Results'. Create a slide presenting the attached accuracy chart. Key findings to highlight: 1) 95% accuracy achieved, 2) Outperforms baseline by 12%, 3) Consistent across test sets. CITATIONS: Include at bottom: (Our results, 2025). FORMATTING GOAL: Match attached slide style exactly." -o slides/04_results.png --attach slides/03_background.png --attach figures/accuracy_chart.png
# RESULTS SLIDE - Multiple figures comparison
python scripts/generate_slide_image.py "Presentation slide titled 'Before vs After Comparison'. Build a side-by-side comparison slide using the two attached figures. Left: baseline results, Right: our improved results. Add brief labels explaining the improvement. FORMATTING GOAL: Match attached slide style exactly." -o slides/05_comparison.png --attach slides/04_results.png --attach figures/baseline.png --attach figures/improved.png
# METHODOLOGY SLIDE - Attach existing diagram
python scripts/generate_slide_image.py "Presentation slide titled 'System Architecture'. Present the attached architecture diagram with brief explanatory bullet points: 1) Input processing, 2) Model inference, 3) Output generation. FORMATTING GOAL: Match attached slide style exactly." -o slides/06_architecture.png --attach slides/05_comparison.png --attach diagrams/system_architecture.png
IMPORTANT: Before creating results slides, always:
ls -la figures/ or ls -la results/Prompt Template:
Include these elements in every prompt (customize as needed):
[Slide content description]
CITATIONS: Include at bottom: (Author1 et al., Year; Author2 et al., Year)
FORMATTING GOAL: [Background color], [text color], [accent color], minimal professional design, no decorative elements, consistent with attached slide style.
Step 3: Combine to PDF
# Combine all slides into a PDF presentation
python scripts/slides_to_pdf.py slides/*.png -o presentation.pdf
When creating PowerPoint presentations, use Nano Banana Pro to generate images and figures for each slide, then add text separately using the PPTX skill.
How it works:
--visual-only flag to create images for slidesStep 1: Generate Visuals for Each Slide
# Generate a figure for the introduction slide
python scripts/generate_slide_image.py "Professional illustration showing machine learning applications: healthcare diagnosis, financial analysis, autonomous vehicles, and robotics. Modern flat design, colorful icons on white background." -o figures/ml_applications.png --visual-only
# Generate a diagram for the methods slide
python scripts/generate_slide_image.py "Neural network architecture diagram showing input layer, three hidden layers, and output layer. Clean, technical style with node connections. Blue and gray color scheme." -o figures/neural_network.png --visual-only
# Generate a conceptual graphic for results
python scripts/generate_slide_image.py "Before and after comparison showing improvement: left side shows cluttered data, right side shows organized insights. Arrow connecting them. Professional business style." -o figures/results_visual.png --visual-only
Step 2: Build PowerPoint with PPTX Skill
Use the PPTX skill's html2pptx workflow to create slides that include:
See skills/pptx/SKILL.md for complete PPTX creation documentation.
Generate presentation slides or visuals using Nano Banana Pro AI.
# Full slide (default) - generates complete slide as image
python scripts/generate_slide_image.py "slide description" -o output.png
# Visual only - generates just the image/figure for embedding in PPT
python scripts/generate_slide_image.py "visual description" -o output.png --visual-only
# With reference images attached (Nano Banana Pro will see these)
python scripts/generate_slide_image.py "Create a slide explaining this chart" -o slide.png --attach chart.png
python scripts/generate_slide_image.py "Combine these into a comparison slide" -o compare.png --attach before.png --attach after.png
Options:
-o, --output: Output file path (required)--attach IMAGE: Attach image file(s) as context for generation (can use multiple times)--visual-only: Generate just the visual/figure, not a complete slide--iterations: Max refinement iterations (default: 2)--api-key: OpenRouter API key (or set OPENROUTER_API_KEY env var)-v, --verbose: Verbose outputAttaching Reference Images:
Use --attach when you want Nano Banana Pro to see existing images as context:
Environment Setup:
export OPENROUTER_API_KEY='your_api_key_here'
# Get key at: https://openrouter.ai/keys
Combine multiple slide images into a single PDF.
# Combine PNG files
python scripts/slides_to_pdf.py slides/*.png -o presentation.pdf
# Combine specific files in order
python scripts/slides_to_pdf.py title.png intro.png methods.png -o talk.pdf
# From directory (sorted by filename)
python scripts/slides_to_pdf.py slides/ -o presentation.pdf
Options:
-o, --output: Output PDF path (required)--dpi: PDF resolution (default: 150)-v, --verbose: Verbose outputTip: Name slides with numbers for correct ordering: 01_title.png, 02_intro.png, etc.
For complete slides, include:
Example prompts:
Title slide:
"Title slide for a medical research presentation. Title: 'Advances in Cancer Immunotherapy'. Subtitle: 'Clinical Trial Results 2024'. Professional medical theme with subtle DNA helix in background. Navy blue and white color scheme."
Content slide:
"Presentation slide titled 'Key Findings'. Three bullet points: 1) 40% improvement in response rate, 2) Reduced side effects, 3) Extended survival outcomes. Include relevant medical icons. Clean, professional design with green and white colors."
Diagram slide:
"Presentation slide showing the research methodology. Title: 'Study Design'. Flowchart showing: Patient Screening → Randomization → Treatment Groups (A, B, Control) → Follow-up → Analysis. CONSORT-style flow diagram. Professional academic style."
For images to embed in PowerPoint, focus on the visual element only:
"Flowchart showing machine learning pipeline: Data Collection → Preprocessing → Model Training → Validation → Deployment. Clean technical style, blue and gray colors."
"Conceptual illustration of cloud computing with servers, data flow, and connected devices. Modern flat design, suitable for business presentation."
"Scientific diagram of cell division process showing mitosis phases. Educational style with labels, colorblind-friendly colors."
In addition to slide generation, use the scientific-schematics skill for technical diagrams:
When to use scientific-schematics instead:
How to generate schematics:
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
Build presentations with clear narrative flow and appropriate structure for different contexts. For detailed guidance, refer to references/presentation_structure.md.
Universal Story Arc:
Talk-Specific Structures:
Create professional, readable, and accessible slides that enhance understanding. For complete design guidelines, refer to references/slide_design_principles.md.
ANTI-PATTERN: Avoid Dry, Text-Heavy Presentations
❌ What Makes Presentations Dry and Forgettable:
✅ What Makes Presentations Engaging and Memorable:
Core Design Principles:
Visual-First Approach (CRITICAL):
Simplicity with Impact:
Typography for Engagement:
Color for Impact:
Layout for Visual Interest:
Adapt scientific figures for presentation context. For detailed guidance, refer to references/data_visualization_slides.md.
Key Differences from Journal Figures:
Visualization Best Practices:
Common Mistakes to Avoid:
Different presentation contexts require different approaches. For comprehensive guidance on each type, refer to references/talk_types_guide.md.
Conference Talks (10-20 minutes):
Academic Seminars (45-60 minutes):
Thesis Defenses (45-60 minutes):
Grant Pitches (10-20 minutes):
Journal Clubs (20-45 minutes):
Best for: Visually stunning slides, fast creation, non-technical audiences
This is the default and recommended approach. Generate each slide as a complete image using AI.
Workflow:
generate_slide_image.pyslides_to_pdf.py# Generate slides
python scripts/generate_slide_image.py "Title: Introduction..." -o slides/01.png
python scripts/generate_slide_image.py "Title: Methods..." -o slides/02.png
# Combine to PDF
python scripts/slides_to_pdf.py slides/*.png -o presentation.pdf
Advantages:
Best for:
Best for: Editable slides, custom designs, template-based workflows
Reference: See skills/pptx/SKILL.md for complete documentation
Use Nano Banana Pro with --visual-only to generate images, then build PPTX with text.
Key Resources:
assets/powerpoint_design_guide.md: Complete PowerPoint design guidehtml2pptx.md: Programmatic creation workflowrearrange.py, inventory.py, replace.py, thumbnail.pyWorkflow:
generate_slide_image.py --visual-onlyPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
K-Dense-AI/scientific-agent-skills
google-deepmind/science-skills
google-deepmind/science-skills
Solid pick for teams standardizing on skills: scientific-slides is focused, and the summary matches what you get after install.
I recommend scientific-slides for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added scientific-slides from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
scientific-slides reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: scientific-slides is the kind of skill you can hand to a new teammate without a long onboarding doc.
Registry listing for scientific-slides matched our evaluation — installs cleanly and behaves as described in the markdown.
scientific-slides is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
scientific-slides fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend scientific-slides for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: scientific-slides is the kind of skill you can hand to a new teammate without a long onboarding doc.
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