Skills for Real Engineers. Straight from my .agents directory.
matlab-import-driving-data
Agent skill frommatlab/matlab-agentic-toolkit
Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.* objects (GPSData, CameraData, LidarData, ActorTrackData, Trajectory, laneData) and run preprocessing — synchronize, offset correction, crop, normalizeTimestamps, convertTimestamps. Also: compute actor tracks from lidar when no annotations exist, attach camera/lidar mounting + intrinsics, export to MAT/workspace/timetable/script. Use for raw driving dataset files (KITTI, nuScenes, Waymo, Pandaset, ROS/ROS2 bags, .mat, .csv, .mp4) or driving/vehicle/sensor logs that need wrapping. drivingLogAnalyzer (DLA) is OPT-IN ONLY — invoke only on explicit user request ('DLA', 'open in DLA', 'inspect/explore/analyze the recording') or reported sensor problem (sync drift, timestamp mismatch, overlay misalignment). NEVER auto-launch DLA after wrapping (Rule 0). For 'build scenario / export to RoadRunner / drivingScenario / OpenSCENARIO / Unreal / simulate', hand off to matlab-use-scenario-builder.
How to install matlab-import-driving-data
npx skills add matlab/matlab-agentic-toolkit# or add only this skill to Claude Code: copy the folder
skills-catalog/automotive/matlab-import-driving-data/
# into
~/.claude/skills/matlab-import-driving-data/ (all projects)
.claude/skills/matlab-import-driving-data/ (one project)
More skills in matlab-agentic-toolkit
- ▸matlab-compute-aerospace-environment
- ▸matlab-convert-aerospace-coordinates
- ▸matlab-analyze-reliability
- ▸matlab-classify-tabular-data
- ▸matlab-deploy-embedded-ai
- ▸matlab-engineer-tabular-features
- ▸matlab-fit-curve
- ▸matlab-import-external-ai-model
- ▸matlab-interpret-machine-learning-model
- ▸matlab-train-network
- ▸matlab-use-experiment-manager
- ▸matlab-use-machine-learning-apps
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