scientific-slides▌
K-Dense-AI/scientific-agent-skills · updated Jun 4, 2026
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### Scientific Slides
- ›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"
| 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 Slides
Overview
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:
- Compelling visuals: High-quality figures, images, diagrams (not just bullet points)
- Research context: Proper citations from research-lookup establishing credibility
- Minimal text: Bullet points as prompts, YOU provide the explanation verbally
- Professional design: Modern color schemes, strong visual hierarchy, generous white space
- Story-driven: Clear narrative arc, not just data dumps
Remember: Boring presentations = forgotten science. Make your slides visually memorable while maintaining scientific rigor through proper citations.
When to Use This Skill
This skill should be used when:
- Preparing conference presentations (5-20 minutes)
- Developing academic seminars (45-60 minutes)
- Creating thesis or dissertation defense presentations
- Designing grant pitch presentations
- Preparing journal club presentations
- Giving research talks at institutions or companies
- Teaching or tutorial presentations on scientific topics
Slide Generation with Nano Banana Pro
This skill uses Nano Banana Pro AI to generate stunning presentation slides automatically.
There are two workflows depending on output format:
Default Workflow: PDF Slides (Recommended)
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:
- Plan the deck: Create a detailed plan for each slide (title, key points, visual elements)
- Generate slides: Call Nano Banana Pro for each slide to create complete slide images
- Combine to PDF: Assemble slide images into a single PDF presentation
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:
- Color scheme (e.g., "dark blue background, white text, gold accents")
- Typography style (e.g., "bold sans-serif titles, clean body text")
- Visual style (e.g., "minimal, professional, corporate aesthetic")
- Layout approach (e.g., "generous white space, left-aligned content")
-
Always attach the previous slide when generating subsequent slides using
--attach:- This allows Nano Banana Pro to see and match the existing style
- Creates visual continuity throughout the deck
- Ensures consistent colors, fonts, and design language
-
Default author is "K-Dense" unless another name is specified
-
Include citations directly in the prompt for slides that reference research:
- Add citations in the prompt text so they appear on the generated slide
- Use format: "Include citation: (Author et al., Year)" or "Show reference: Author et al., Year"
- For multiple citations, list them all in the prompt
- Citations should appear in small text at the bottom of the slide or near relevant content
-
Attach existing figures/data for results slides (CRITICAL for data-driven presentations):
- When creating slides about results, ALWAYS check for existing figures in:
- The working directory (e.g.,
figures/,results/,plots/,images/) - User-provided input files or directories
- Any data visualizations, charts, or graphs relevant to the presentation
- The working directory (e.g.,
- Use
--attachto include these figures so Nano Banana Pro can incorporate them:- Attach the actual data figure/chart for results slides
- Attach relevant diagrams for methodology slides
- Attach logos or institutional images for title slides
- When attaching data figures, describe what you want in the prompt:
- "Create a slide presenting the attached results chart with key findings highlighted"
- "Build a slide around this attached figure, add title and bullet points explaining the data"
- "Incorporate the attached graph into a results slide with interpretation"
- Before generating results slides: List files in the working directory to find relevant figures
- Multiple figures can be attached:
--attach fig1.png --attach fig2.png
- When creating slides about results, ALWAYS check for existing figures in:
Example 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:
- List files in working directory:
ls -la figures/orls -la results/ - Check user-provided directories for relevant figures
- Attach ALL relevant figures that should appear on the slide
- Describe how Nano Banana Pro should incorporate the attached figures
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
PPT Workflow: PowerPoint with Generated Visuals
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:
- Plan the deck: Create content plan for each slide
- Generate visuals: Use Nano Banana Pro with
--visual-onlyflag to create images for slides - Build PPTX: Use the PPTX skill (html2pptx or template-based) to create slides with generated visuals and separate text
Step 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:
- Generated images from step 1
- Title and body text added separately
- Professional layout and formatting
See skills/pptx/SKILL.md for complete PPTX creation documentation.
Nano Banana Pro Script Reference
generate_slide_image.py
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 output
Attaching Reference Images:
Use --attach when you want Nano Banana Pro to see existing images as context:
- "Create a slide about this data" + attach the data chart
- "Make a title slide with this logo" + attach the logo
- "Combine these figures into one slide" + attach multiple images
- "Explain this diagram in a slide" + attach the diagram
Environment Setup:
export OPENROUTER_API_KEY='your_api_key_here'
# Get key at: https://openrouter.ai/keys
slides_to_pdf.py
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 output
Tip: Name slides with numbers for correct ordering: 01_title.png, 02_intro.png, etc.
Prompt Writing for Slide Generation
Full Slide Prompts (PDF Workflow)
For complete slides, include:
- Slide type: Title slide, content slide, diagram slide, etc.
- Title: The slide title text
- Content: Key points, bullet items, or descriptions
- Visual elements: What imagery, icons, or graphics to include
- Design style: Color scheme, mood, aesthetic
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."
Visual-Only Prompts (PPT Workflow)
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."
Visual Enhancement with Scientific Schematics
In addition to slide generation, use the scientific-schematics skill for technical diagrams:
When to use scientific-schematics instead:
- Complex technical diagrams (circuit diagrams, chemical structures)
- Publication-quality figures for papers (higher quality threshold)
- Diagrams requiring scientific accuracy review
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.
Core Capabilities
1. Presentation Structure and Organization
Build presentations with clear narrative flow and appropriate structure for different contexts. For detailed guidance, refer to references/presentation_structure.md.
Universal Story Arc:
- Hook: Grab attention (30-60 seconds)
- Context: Establish importance (5-10% of talk)
- Problem/Gap: Identify what's unknown (5-10% of talk)
- Approach: Explain your solution (15-25% of talk)
- Results: Present key findings (40-50% of talk)
- Implications: Discuss meaning (15-20% of talk)
- Closure: Memorable conclusion (1-2 minutes)
Talk-Specific Structures:
- Conference talks (15 min): Focused on 1-2 key findings, minimal methods
- Academic seminars (45 min): Comprehensive coverage, detailed methods, multiple studies
- Thesis defenses (60 min): Complete dissertation overview, all studies covered
- Grant pitches (15 min): Emphasis on significance, feasibility, and impact
- Journal clubs (30 min): Critical analysis of published work
2. Slide Design Principles
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:
- Walls of text (more than 6 bullets per slide)
- Small fonts (<24pt body text)
- Black text on white background only (no visual interest)
- No images or graphics (bullet points only)
- Generic templates with no customization
- Dense, paragraph-like bullet points
- Missing research context (no citations)
- All slides look the same (repetitive)
✅ What Makes Presentations Engaging and Memorable:
- HIGH-QUALITY VISUALS dominate (figures, photos, diagrams, icons)
- Large, clear text as accent (not the main content)
- Modern, purposeful color schemes (not default themes)
- Generous white space (slides breathe)
- Research-backed context (proper citations from research-lookup)
- Variety in slide layouts (not all bullet lists)
- Story-driven flow with visual anchors
- Professional, polished appearance
Core Design Principles:
Visual-First Approach (CRITICAL):
- Start with visuals (figures, images, diagrams), add text as support
- Every slide should have STRONG visual element (figure, chart, photo, diagram)
- Text explains or complements visuals, not replaces them
- Think: "How can I show this, not just tell it?"
- Target: 60-70% visual content, 30-40% text
Simplicity with Impact:
- One main idea per slide
- MINIMAL text (3-4 bullets, 4-6 words each preferred)
- Generous white space (40-50% of slide)
- Clear visual focus
- Bold, confident design choices
Typography for Engagement:
- Sans-serif fonts (Arial, Calibri, Helvetica)
- LARGE fonts: 24-28pt for body text (not minimum 18pt)
- 36-44pt for slide titles (make bold)
- High contrast (minimum 4.5:1, prefer 7:1)
- Use size for hierarchy, not just weight
Color for Impact:
- MODERN color palettes (not default blue/gray)
- Consider your topic: biotech? vibrant colors. Physics? sleek darks. Health? warm tones.
- Limited palette (3-5 colors total)
- High contrast combinations
- Color-blind safe (avoid red-green combinations)
- Use color purposefully (not decoration)
Layout for Visual Interest:
- Vary layouts (not all bullet lists)
- Use two-column layouts (text + figure)
- Full-slide figures for key results
- Asymmetric compositions (more interesting than centered)
- Rule of thirds for focal points
- Consistent but not repetitive
3. Data Visualization for Slides
Adapt scientific figures for presentation context. For detailed guidance, refer to references/data_visualization_slides.md.
Key Differences from Journal Figures:
- Simplify, don't replicate
- Larger fonts (18-24pt minimum)
- Fewer panels (split across slides)
- Direct labeling (not legends)
- Emphasis through color and size
- Progressive disclosure for complex data
Visualization Best Practices:
- Bar charts: Comparing discrete categories
- Line graphs: Trends and trajectories
- Scatter plots: Relationships and correlations
- Heatmaps: Matrix data and patterns
- Network diagrams: Relationships and connections
Common Mistakes to Avoid:
- Tiny fonts (<18pt)
- Too many panels on one slide
- Complex legends
- Insufficient contrast
- Cluttered layouts
4. Talk-Specific Guidance
Different presentation contexts require different approaches. For comprehensive guidance on each type, refer to references/talk_types_guide.md.
Conference Talks (10-20 minutes):
- Structure: Brief intro → minimal methods → key results → quick conclusion
- Focus: 1-2 main findings only
- Style: Engaging, fast-paced, memorable
- Goal: Generate interest, network, get invited
Academic Seminars (45-60 minutes):
- Structure: Comprehensive coverage with detailed methods
- Focus: Multiple findings, depth of analysis
- Style: Scholarly, interactive, discussion-oriented
- Goal: Demonstrate expertise, get feedback, collaborate
Thesis Defenses (45-60 minutes):
- Structure: Complete dissertation overview, all studies
- Focus: Demonstrating mastery and independent thinking
- Style: Formal, comprehensive, prepared for interrogation
- Goal: Pass examination, defend research decisions
Grant Pitches (10-20 minutes):
- Structure: Problem → significance → approach → feasibility → impact
- Focus: Innovation, preliminary data, team qualifications
- Style: Persuasive, focused on outcomes and impact
- Goal: Secure funding, demonstrate viability
Journal Clubs (20-45 minutes):
- Structure: Context → methods → results → critical analysis
- Focus: Understanding and critiquing published work
- Style: Educational, critical, discussion-facilitating
- Goal: Learn, critique, discuss implications
5. Implementation Options
Nano Banana Pro PDF (Default - Recommended)
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:
- Plan each slide (title, content, visual elements)
- Generate each slide with
generate_slide_image.py - Combine into PDF with
slides_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:
- Most visually impressive results
- Fast creation (describe and generate)
- No design skills required
- Consistent, professional appearance
- Perfect for general audiences
Best for:
- Conference talks
- Business presentations
- General scientific talks
- Pitch presentations
PowerPoint via PPTX Skill
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 guide- PPTX skill's
html2pptx.md: Programmatic creation workflow - PPTX skill's scripts:
rearrange.py,inventory.py,replace.py,thumbnail.py
Workflow:
- Generate visuals with
generate_slide_image.py --visual-only - Design HTML slides (for programmatic) or use templates
- Create presentation using html2pptx or template editing
- Ad
How to use scientific-slides on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add scientific-slides
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches scientific-slides from GitHub repository K-Dense-AI/scientific-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate scientific-slides. Access the skill through slash commands (e.g., /scientific-slides) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★50 reviews- ★★★★★Arjun Smith· Dec 28, 2024
Solid pick for teams standardizing on skills: scientific-slides is focused, and the summary matches what you get after install.
- ★★★★★Dev Martinez· Dec 16, 2024
I recommend scientific-slides for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Arya Singh· Nov 19, 2024
We added scientific-slides from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Fatima Li· Nov 7, 2024
scientific-slides reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★William Khanna· Nov 3, 2024
Keeps context tight: scientific-slides is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ren Singh· Oct 26, 2024
Registry listing for scientific-slides matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Hiroshi Chawla· Oct 22, 2024
scientific-slides is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Amina Kapoor· Oct 10, 2024
scientific-slides fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Sophia Kim· Sep 21, 2024
I recommend scientific-slides for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Michael Diallo· Sep 9, 2024
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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