dimensionalos
- 12 skills
- 0 followers
- 18 hours ago last updated
- ▌ Openspec Explore · dimensionalosEnter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
- ▌ Openspec Propose · dimensionalosPropose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.
- ▌ Openspec Explore 2 · dimensionalosEnter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
- ▌ Openspec Propose 2 · dimensionalosPropose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.
- ▌ Openspec Sync Specs · dimensionalosSync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.
- ▌ Openspec Apply Change · dimensionalosImplement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
- ▌ Openspec Archive Change · dimensionalosArchive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.
- ▌ Openspec Apply Change 2 · dimensionalosImplement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
- ▌ Python Unit Tests · dimensionalosUse when writing, fixing, or reviewing Python pytest unit tests, fixtures, mocks, or test PR feedback.
- ▌ Cuvslam CI · dimensionalos bundleUse 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 dataset, changing dataset format or packing, and controlling which datasets run in PR versus nightly.
- ▌ Cuvslam Onboard · dimensionalos bundleBuild, 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 (mapping, localization, loop closure). Use when asked to: build cuVSLAM, install PyCuVSLAM, set up cuVSLAM environment, run cuVSLAM examples, prepare KITTI/EuRoC/TUM datasets, run visual odometry, set up live camera tracking (RealSense/ZED/OAK-D/Orbbec), run cuVSLAM in Docker, or use cuVSLAM C++ tools.
- ▌ Cuvslam Troubleshoot · dimensionalos bundleTroubleshoot 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 setups, SLAM loop closure, or build/install problems with cuVSLAM, PyCuVSLAM, or Isaac ROS cuVSLAM. Triggers on: "cuVSLAM not tracking", "visual odometry drift", "SLAM lost", "cuvslam build error", "PyCuVSLAM install", "Isaac ROS visual_slam", "camera calibration issue", "stereo tracking bad", "cuVSLAM pose inaccurate".