PlantCV Plant Phenotyping Starter

SkillAI & models

Use this skill to generate a tiny synthetic plant image, segment it with PlantCV, and summarize simple morphology-style phenotyping measurements.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the PlantCV Plant Phenotyping Starter skill

About this capability

A framework for discovering, compiling, and validating reusable skills for scientific agents.

What this skill tells your AI

The instructions your AI receives, as published by ma-compbio-lab/skillfoundry in skills/agriculture-food-and-plant-science/plantcv-plant-phenotyping-starter/SKILL.md and read by ahel’s review.

Use this skill to generate a tiny synthetic plant image, segment it with PlantCV, and summarize simple morphology-style phenotyping measurements.

What it does

  • Builds a small deterministic RGB image containing one synthetic plant-like region.
  • Uses PlantCV HSV conversion plus binary thresholding to produce a foreground mask.
  • Reports foreground area, bounding box, and a simple saturation-based phenotype summary.

When to use it

  • You need a runnable starter for Plant phenotyping.
  • You want a local segmentation and mask-summary example before scaling to real greenhouse or field images.

Example

slurm/envs/plant-science/bin/python skills/agriculture-food-and-plant-science/plantcv-plant-phenotyping-starter/scripts/run_plantcv_plant_phenotyping.py \
  --image-out scratch/plantcv/toy_plant.png \
  --mask-out scratch/plantcv/toy_plant_mask.png \
  --out scratch/plantcv/toy_plant_summary.json

Verification

  • Skill-local tests: python3 -m unittest discover -s skills/agriculture-food-and-plant-science/plantcv-plant-phenotyping-starter/tests -p 'test_*.py'
  • Repository smoke: python3 -m unittest tests.smoke.test_phase30_empty_domain_seed_skills -v

Signals

GitHub stars
39
Forks
5
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
plantcv-plant-phenotyping-starter
Source
github.com/ma-compbio-lab/skillfoundry