general-presentation
Generate and iteratively refine PowerPoint presentations from simulation results using python-pptx.
Skill by learningmatter-mit
Install
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npx agentmarket install skill/learningmatter-mit-general-presentation
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About
Use cases: presentations
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/general-presentation
What's inside
- Skill name
general-presentation- Description
- Generate and iteratively refine PowerPoint presentations from simulation results using python-pptx.
- License
- MIT
- Instructions
- 96 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (7)
- SKILL.md
- LiCl_amorphous.png · examples/amorphorization/
- LiCl_crystalline.png · examples/amorphorization/
- README.md · examples/amorphorization/
- amorphorization_skill_demo.pptx · examples/amorphorization/
- amorphorization_slides.py · examples/amorphorization/
- slide_utils.py · scripts/
SKILL.md (first lines)
# Presentation Generation
## 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:
```python
import sys
sys.path.insert(0, "${CLAUDE_SKILL_DIR}/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:
```python
from slide_utils import *
THEME["primary"] = RGBColor(0x00, 0x50, 0x80)
THEME["font_family"] = "Arial"
```
### 4. Save and Iterate Visually
```python
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:
```bash
# 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:
```python
import sys
sys.path.insert(0, "${CLAUDE_SKILL_DIR}/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](examples/amorphorization/) for a complete runnable example with structure images, tables, and RDF plots.
## Constraints
- **Environment**: Run the slide script in the `cpu` environment, which has `python-pptx`:
`${CLAUDE_SKILL_DIR}/../../venv/run cpu python make_slides.py`.
- **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](https://github.com/learningmatter-mit)From learningmatter-mit/AtomisticSkills, MIT.
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Signals
- Stars
- 183
- Forks
- 31
- Open issues
- 0
- Last commit (this folder)
- Oct 5, 2026 (23 days ago)
- Last release
- Oct 6, 2026 (22 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- arxiv.org/abs/2605.24002
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Build a solvated, charge-neutralized protein-ligand complex for OpenMM molecular dynamics simulation.
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Cite this page
general-presentation skill. Agent Mart. https://agentmart.dev/skills/learningmatter-mit-general-presentation (last updated 2026-10-24)