Presentation Generation
SkillDocs & knowledgeGenerate and iteratively refine PowerPoint presentations from simulation results using python-pptx.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Presentation Generation skill
What this skill tells your AI
The instructions your AI receives, as published by learningmatter-mit/atomisticskills in .agents/skills/general-presentation/SKILL.md and read by ahel’s review.
Goal
Create professional PowerPoint presentations from simulation results (plots, tables, parameters) using python-pptx. The agent writes standalone Python scripts using a helper library, enabling direct iteration with the user on the script to refine slides.
Instructions
1. Import the Helper Library
All scripts should import slide_utils from this skill:
# Env: base-agent
import sys
sys.path.insert(0, ".agents/skills/general-presentation/scripts")
from slide_utils import *
2. Build Slides Using Helper Functions
Available functions:
| Function | Purpose |
|---|---|
create_presentation(title, subtitle, author) | Create a new presentation with a styled title slide |
add_title_slide(prs, title, subtitle) | Additional title/divider slides |
add_section_slide(prs, title) | Section divider (colored background) |
add_image_slide(prs, title, image_path, caption, notes) | Single image/plot slide |
add_two_image_slide(prs, title, left_img, right_img, ...) | Side-by-side images |
add_image_and_text_slide(prs, title, image_path, text, ...) | Image + text layout |
add_table_slide(prs, title, headers, rows) | Data table slide |
add_bullets_slide(prs, title, bullets) | Bullet point slide |
add_autofit_box(slide, left, top, height, text, bg_color) | Add a colored box that auto-scales width to text |
save_presentation(prs, path) | Save to .pptx file |
Every builder function returns the Slide (or Shape) object, allowing further customization with raw python-pptx calls if needed.
3. Customize the Theme (Optional)
Override the THEME dictionary before building slides:
from slide_utils import *
THEME["primary"] = RGBColor(0x00, 0x50, 0x80)
THEME["font_family"] = "Arial"
4. Save and Iterate Visually
save_presentation(prs, "output.pptx")
The agent edits the Python script and re-runs to reflect changes. CRITICAL ITERATION LOOP: The agent MUST visually inspect the generated slides using their VLM capabilities to ensure elements do not overlap, text fits perfectly within boxes, and the slide space is used efficiently with a universal, professional design style.
To preview a slide as an image for visual inspection:
# Render PPTX to PDF using LibreOffice, then to PNG
libreoffice --headless --convert-to pdf output.pptx --outdir .
pdftocairo -png output.pdf output
# This generates output-1.png, which you can visually inspect.
Examples
Generating a simulation report:
# Env: base-agent
import sys
sys.path.insert(0, ".agents/skills/general-presentation/scripts")
from slide_utils import *
prs = create_presentation("LiFePO4 Stability", "MACE-MP Results", "Research Agent")
add_image_slide(prs, "Phonon DOS", "phonon_dos.png", caption="No imaginary modes observed")
add_table_slide(prs, "Parameters", ["Param", "Value"], [["Model", "MACE-MP"], ["fmax", "0.02 eV/A"]])
add_bullets_slide(prs, "Conclusions", ["Dynamically stable", "E_hull = 0 meV/atom"])
save_presentation(prs, "LiFePO4_report.pptx")
See amorphorization example for a complete runnable example with structure images, tables, and RDF plots.
Constraints
- Environment: Scripts require
base-agentwithpython-pptxinstalled. - Image formats: PNG, JPG, BMP, GIF, TIFF supported.
- Slide dimensions: Default 16:9 (13.333 × 7.5 inches). Override via
THEME["width"]/THEME["height"]. - Tables: Large tables (>15 rows) may overflow the slide — split across multiple slides.
Author: Bowen Deng Contact: GitHub @learningmatter-mit
Signals
- GitHub stars
- 164
- Forks
- 24
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
general-presentation- Source
- github.com/learningmatter-mit/atomisticskills