Agent skill

grant-gantt-chart-gen

Create project timeline visualizations for grant proposals

Stars 163
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/grant-gantt-chart-gen

SKILL.md

Grant Gantt Chart Generator

Create project timeline visualizations for grant proposals.

Usage

bash
python scripts/main.py --milestones milestones.csv --duration 36 --output gantt.png

Parameters

Parameter Type Default Required Description
--milestones string - Yes Path to milestone data file (CSV)
--duration int 36 No Project duration in months
--start-date string - No Project start date (YYYY-MM-DD)
--output, -o string gantt.png No Output file path
--format string png No Output format (png, pdf, svg)

Features

  • Timeline visualization
  • Milestone markers
  • Task dependencies
  • Personnel allocation
  • Quarterly breakdown

Output

  • Gantt chart image
  • Timeline data (CSV)
  • Milestone summary

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

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