Individual skill
dicom-series-to-volume
Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use.
skills/dicom-series-to-volume/SKILL.md
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- medtech Declared skill tag
- dicom Declared skill tag
- nifti Declared skill tag
- engineering Derived category
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BENCHMARK.mddoc · 7,592 bytesSKILL.mdcore · 3,703 bytesSKILL.mdcore · 3,703 bytesSKILL.mdcore · 3,703 bytesevals/evals.jsonasset · 1,519 bytesfixtures/generate_fixtures.pyruns · 5,729 bytesscripts/series_to_volume.pyruns · 9,274 bytesskill-card.mddoc · 4,034 bytesskill.oms.sigasset · 5,805 bytesskill_manifest.yamlasset · 6,384 bytestests/test_orientation_regression.pyruns · 2,455 bytesvalidators/output_schema.jsonasset · 2,105 bytes
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# dicom_series_to_volume
## Purpose
- Used for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use.
- Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation.
- Manifest I/O: inputs are `dicom_dir`; outputs are `nifti_volume` and `result_json`.
## Instructions
- Read `skill_manifest.yaml` before changing arguments, side effects, or validation gates.
- Run `scripts/series_to_volume.py` through the documented command below; keep outputs under a caller-provided run directory.
- If a host agent exposes `run_script`, use `run_script("scripts/series_to_volume.py", args=[...])`; otherwise run the Bash/Python command shown below.
- Check the emitted JSON and the paired `dicom_volume_quality_v1` verifier before treating the run as evidence.
## Available Scripts