| name | pptx-posters |
| description | Generate PowerPoint presentations and academic posters from paper abstracts or full paper content, with automatic layout optimization and citation formatting. |
| license | MIT |
| author | AIPOCH |
Source: https://github.com/aipoch/medical-research-skills
PPTX Posters
Generate PowerPoint presentations and academic posters from paper abstracts or content.
Quick Check
python -m py_compile scripts/main.py
python scripts/main.py --help
When to Use
- Use this skill when converting a paper abstract or PDF into a structured academic poster or slide deck.
- Use this skill when a specific design template (academic, minimal, colorful) or output format (poster, slides) is needed.
- Do not use this skill to write original research content, fabricate figures, or produce documents for submission as original work.
Workflow
- Confirm the input source (abstract text or paper PDF), output format, and template preference.
- PDF Validation: If the input is a PDF, check whether it can be parsed. If the PDF is encrypted, image-only, or corrupt, emit a specific error: "The provided PDF cannot be parsed (possible causes: encrypted, image-only, or corrupt file). Please convert to text or provide the abstract directly."
- Validate that the request is for presentation generation from existing content, not original research writing.
- Extract and structure content into appropriate layout sections.
- Generate the PowerPoint file with layout recommendations.
- If inputs are incomplete, state which fields are missing and request only the minimum additional information.
Usage
python scripts/main.py --abstract paper.txt --format poster --output poster.pptx
python scripts/main.py --paper paper.pdf --format slides --template academic
python scripts/main.py --abstract paper.txt --format slides --style minimal --output talk.pptx
Parameters
| Parameter | Type | Required | Default | Description |
|---|
--abstract | file/text | No | — | Abstract text or file path |
--paper | file path | No | — | Full paper PDF |
--format | string | Yes | — | Output format: poster or slides |
--template | string | No | academic | Design template: academic, minimal, or colorful |
--output | file path | No | stdout | Output .pptx file path |
Output
- PowerPoint file (
.pptx)
- Layout recommendations
- Design guidelines for manual refinement
Scope Boundaries
- This skill generates layout and structure from provided content; it does not write original research.
- Figure placeholders are inserted; actual figures must be added manually.
- Citation formatting follows standard academic style but should be verified before submission.
Stress-Case Rules
For complex multi-constraint requests, always include these explicit blocks:
- Assumptions
- Content Source Used
- Layout Output
- Design Notes
- Risks and Manual Checks
Error Handling
- If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
- If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
- If
scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.
- Do not fabricate research content, figures, or citations.
Input Validation
This skill accepts: a paper abstract or PDF as source content, with a target output format (poster or slides) and optional template preference.
If the request does not involve generating a presentation from existing paper content — for example, asking to write original research, create figures from data, or produce submission-ready manuscripts — do not proceed with the workflow. Instead respond:
"pptx-posters is designed to generate PowerPoint presentations and academic posters from existing paper content. Your request appears to be outside this scope. For figure generation, use a data visualization tool with your actual data. For original research writing, use a manuscript drafting skill. Please provide an abstract or paper file, or use a more appropriate tool."
Response Template
Use the following fixed structure for non-trivial requests:
- Objective
- Inputs Received
- Assumptions
- Workflow
- Deliverable
- Risks and Limits
- Next Checks
If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.
