pptx-posters

Generate PowerPoint presentations and academic posters from paper content

3.00x

Quality

35%

Does it follow best practices?

Impact

90%

3.00x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

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npx tessl skill review --optimize ./scientific-skills/Academic Writing/pptx-posters/SKILL.md

PPTX Posters

Generate PowerPoint presentations and academic posters from paper abstracts or content.

Usage

python scripts/main.py --abstract paper.txt --format poster --output poster.pptx
python scripts/main.py --paper paper.pdf --format slides --template academic

Parameters

--abstract: Abstract text or file
--paper: Full paper PDF
--format: Output format (poster/slides)
--template: Design template (academic/minimal/colorful)
--output: Output file

Features

Automatic content extraction
Section layout optimization
Figure placeholders
Citation formatting

Output

PowerPoint file (.pptx)
Layout recommendations
Design guidelines

Risk Assessment

Risk Indicator	Assessment	Level
Code Execution	Python/R scripts executed locally	Medium
Network Access	No external API calls	Low
File System Access	Read input files, write output files	Medium
Instruction Tampering	Standard prompt guidelines	Low
Data Exposure	Output files saved to workspace	Low

Security Checklist

No hardcoded credentials or API keys
No unauthorized file system access (../)
Output does not expose sensitive information
Prompt injection protections in place
Input file paths validated (no ../ traversal)
Output directory restricted to workspace
Script execution in sandboxed environment
Error messages sanitized (no stack traces exposed)
Dependencies audited

Prerequisites

No additional Python packages required.

Evaluation Criteria

Success Metrics

Successfully executes main functionality
Output meets quality standards
Handles edge cases gracefully
Performance is acceptable

Test Cases

Basic Functionality: Standard input → Expected output
Edge Case: Invalid input → Graceful error handling
Performance: Large dataset → Acceptable processing time

Lifecycle Status

Current Stage: Draft
Next Review Date: 2026-03-06
Known Issues: None
Planned Improvements:
- Performance optimization
- Additional feature support

Repository: aipoch/medical-research-skills
Commit: 4a48721

Last updated: about 12 hours ago
Created: about 12 hours ago

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