"Guides Waymo Open Dataset v1 Frame protos, range-image parsing,
Scanned 9/9/2026
Install to Claude Code
npx -y skills add VectorSpaceLab/AREX-Skill --skill dataset-utils --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: dataset-utils
description: "Guides Waymo Open Dataset v1 Frame protos, range-image parsing,
point clouds, camera projections, geometry, maps, and keypoint utilities."
disable-model-invocation: true
metadata:
disco-role: operating
license: NOASSERTION
---
# Dataset Utils
Use this sub-skill when the task is about v1 WOD `Frame` protos, TFRecord frame parsing, compressed range images, range-image-to-point-cloud conversion, camera projections, map features, geometry transforms, 2D/3D boxes, or keypoint helper data.
Read:
- [references/api-reference.md](references/api-reference.md) for verified signatures and call order.
- [references/data-formats.md](references/data-formats.md) for Frame, lidar/camera arrays, point cloud outputs, and keypoint structures.
- [references/workflows.md](references/workflows.md) for Frame-to-point-cloud, map, and keypoint recipes.
- [references/troubleshooting.md](references/troubleshooting.md) for decompression, TensorFlow eager, calibration, shape, and empty-output failures.
Run [`scripts/check_frame_utils_imports.py`](scripts/check_frame_utils_imports.py) to check installed import/signature availability without downloading data.
Route elsewhere for V2 Parquet components (`v2-components`), metric scoring (`metrics-evaluation`), WOMD/sim-agent challenge workflows (`motion-sim-agents`), or camera custom-op/challenge segmentation (`camera-and-segmentation`).
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