SkillHub

conference-poster-pitch

v0.1.0

Generate elevator pitch for conference posters

Sourced from ClawHub, Authored by googolme

Installation

Please help me install the skill `conference-poster-pitch` from SkillHub official store. npx skills add googolme/conference-poster-pitch

Conference Poster Pitch

Generate elevator pitches for academic poster sessions.

Parameters

Parameter Type Default Required Description
--poster-title, -t string - Yes Poster title
--duration, -d int 60 No Pitch duration in seconds (30, 60, or 180)

Usage

# Generate 60-second pitch
python scripts/main.py --poster-title "CRISPR Therapy for Sickle Cell Disease" --duration 60

# Generate quick 30-second pitch
python scripts/main.py --poster-title "Novel Biomarkers in Cancer" --duration 30

# Generate detailed 3-minute pitch
python scripts/main.py --poster-title "AI in Drug Discovery" --duration 180

Output

  • 30s, 60s, and 3-minute pitch scripts
  • Structured elevator pitch format
  • Ready-to-practice delivery text

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

  1. Basic Functionality: Standard input → Expected output
  2. Edge Case: Invalid input → Graceful error handling
  3. 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