NiBabel NIfTI Summary Starter
SkillAI & modelsUse this skill to generate or load a small NIfTI image with nibabel and summarize the core shape, affine, zoom, and unit metadata.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the NiBabel NIfTI Summary 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/neuroscience-and-neuroimaging/nibabel-nifti-summary-starter/SKILL.md and read by ahel’s review.
Use this skill to generate or load a small NIfTI image with nibabel and summarize the core shape, affine, zoom, and unit metadata.
What it does
- Builds a deterministic toy 4D neuroimaging volume when no input file is supplied.
- Saves the image to disk when requested and reloads it through
nibabel. - Reports shape, voxel sizes, affine determinant, basic intensity statistics, and header units.
When to use it
- You need a runnable starter for
Neuroimaging I/O and formats. - You want a verified example of NIfTI creation and inspection before moving to larger neuroimaging pipelines.
Example
slurm/envs/neuro/bin/python skills/neuroscience-and-neuroimaging/nibabel-nifti-summary-starter/scripts/run_nibabel_nifti_summary.py \
--nifti-out scratch/neuro/toy_bold.nii.gz \
--out scratch/neuro/toy_bold_summary.json
Verification
- Skill-local tests:
python3 -m unittest discover -s skills/neuroscience-and-neuroimaging/nibabel-nifti-summary-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
nibabel-nifti-summary-starter- Source
- github.com/ma-compbio-lab/skillfoundry