dimensionalos

Locate objects with a running PerceptionLocalize stack over MCP (`state`, `localize`) - probe the machine, build the time window, watch labels on a schedule, narrow an object's position, change params per call, and tell where a failure comes from. Use…

Work with the running DimOS system. Discover modules, RPCs and streams, read a stream, write agent modules that watch streams or drive the robot, and schedule cron jobs.

Build and operate DimOS apps and blueprints with the dimos CLI and Python API, and inspect real sensor and memory results.

Use when writing, fixing, or reviewing Python pytest unit tests, fixtures, mocks, or test PR feedback.

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

Enter 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.

Propose 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.

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…