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Bound lidar or point-cloud sampling for safe terrain workflows.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Compare scientific variables with units, ranges, and quality caveats.
Inspect dataset structure before analysis or visualization.
Evaluate data quality from observed structure and summary evidence.
Choose visual checks that match the inspected data.
Route dataset questions to structure, analysis, or visualization experts.
Choose a plot that confirms numeric conversion integrity.
| name | bounded_lidar_sampling |
| title | Bounded Lidar Sampling |
| description | Bound lidar or point-cloud sampling for safe terrain workflows. |
Use this skill when point-cloud data may be large. Prefer bounded subsets, sample limits, tiling, or pre-gridded derivatives before loading whole datasets.
Report the bound, sample count, and any effect on suitability confidence.
