nvidia-isaac

Interactive first-time-user walkthrough for the Video Ingestion Agent (segmentation -> entity graph DB -> retrieval -> webapp). Drives the user through setup ONE STEP AT A TIME with verification between steps, not as a reference dump. Use this skill whenever…

Troubleshooting skill for robotic_grounding failures — Docker/container issues, GPU-not-visible, missing MANO or object assets, motion-file-not-found, Isaac Lab startup crashes, permission errors, and pipeline-stage failures. Use this skill whenever something…

Interactive first-run walkthrough for robotic_grounding (build the Docker image → provide MANO + a dataset → run the retarget pipeline → dummy-agent smoke test → optional train/eval). Drives the user ONE STEP AT A TIME with verification between steps, not as…

Guide for generating robot-behaviour datasets from trained Sharpa (floating-hand) V2D policies — rolling out checkpoints in Isaac Lab with cameras and exporting to LeRobot. Use this skill whenever the user wants to generate/record a dataset from a trained…

Launch, monitor, resume, and verify this repository's BundleSDF or SAM3D HOI object reconstruction pipeline. Use when a user asks to run object reconstruction, process calibrated stereo mapping data, try the included basketball example, produce a BundleSDF…

Diagnose and repair failures in this repository's mesh-to-USD generation, scoped USD validation, recorded-support inference, FoundationPose calibration, catalog batching, or Isaac Sim drop tests. Use when Docker, GPU, EULA, weights, input contracts, CoACD…

Generate, validate, drop-test, resume, and batch-process rigid USD assets from reconstructed object meshes or exported HOI sequences in this repository. Use when a user asks to convert a GLB to USD, create a physics-enabled rigid object, infer a recorded…

Prepare this repository's mesh-to-USD generation, structural validation, and Isaac Sim drop-test environment. Use when a user asks to build the mesh-to-USD images, verify Docker/GPU access, prepare FoundationPose support calibration, check model weights,…

Use when starting Mission Control cloud services from the repository compose stack.

Build Mission Control images; reads Docker credentials from $HOME/.docker.

Use when adding, removing, renaming, or relabeling Mission Control robots.

Change the map Mission Control loads on startup — switch among bundled maps, point at an uploaded file, a URI, or an S3 object, and update the associated metadata. Edits app/config/defaults.yaml via skills/change-map/scripts/set_map.py.

Change the image (registry path or tag) of any Mission Control stack service — mission-control, mission-dispatch, mission-database, mission-simulator, mosquitto, postgres, wpg, cuopt, ota, esp, mas. Updates docker-compose/images.conf via…

Submit a Mission Control mission and verify it completes end-to-end; not for stack startup, map, or fleet changes.

Use when working on cuVSLAM CI/CD - the GitHub Actions nightly and PR-verify pipelines, dataset provisioning and staging, the evaluation run and KPI reporting, the build/test/lint matrix, branch rulesets, or repository secrets and variables. Covers adding a…

Build, install, and run NVIDIA cuVSLAM and PyCuVSLAM from source or wheels. Covers environment setup, dataset preparation, and running examples for all tracking modes (stereo, mono, mono-depth, stereo-inertial, multi-camera, and Multisensor) and SLAM…

Troubleshoot NVIDIA cuVSLAM (CUDA Visual SLAM) pose accuracy, tracking, build, and integration issues. Use when asked to debug cuVSLAM tracking failures, pose drift, lost tracking, calibration problems, image quality issues, IMU integration, multi-camera…