Set up or repair the FoundationPose perception pipeline and build FoundationStereo TensorRT engines for depth estimation. It checks system requirements, resolves dependency and CUDA library issues, and verifies engines against the intended scene dimensions.
Install Holoscan SDK 5.x C++ packages on Ubuntu 24.04, choosing the full SDK or selected modules. Check release availability, hardware requirements, and dependency changes, then verify installed examples and a small CMake build.
Set up Earth2Studio with uv or pip using commands matched to your environment and planned models. The skill guides optional dependency selection, cache configuration, installation checks, and dependency troubleshooting while leaving package installation to the user.
Find Earth2Studio models, data sources, and examples for weather or climate tasks. Filters options by region, forecast type, and GPU memory, then checks whether data sources supply the variables required by each model using current documentation and source files.
Install Holoscan SDK 5.x Python packages in an isolated environment after checking platform and CUDA 13 requirements. Choose the full stack or matching components, then verify dependencies, imports, and a release-matched example pipeline.
Derive HSB Sensor RX packetizer settings from sensor data widths, stream counts, and rearrangement needs. Produce SystemVerilog configuration lines or a YAML handoff, with explanations of how the chosen values shape data handling.
Check and change NVIDIA display and GPU settings through natural-language requests using G-Assist tools. Inspect current settings, adjust supported display controls and frame-rate limits, or plot GPU and CPU metrics on the current machine.
Prepare BOP datasets and run depth estimation, image segmentation, and FoundationPose to estimate object positions and orientations. Evaluate completed runs, compare accuracy and coverage, or change scoring settings without repeating inference.
Expand successful workflow recordings stored in HDF5 by copying episodes and adding small variations to recorded actions. Limit changes to a requested node segment and check generated counts, data dimensions, success flags, and preserved segments.
Check whether a requested Holoscan SDK 5.x release supports Conda installation. When packages are unavailable or unconfirmed, find an alternative installation method that preserves the requested SDK version and C++ or Python requirements.
Consolidate DOCA installation details, device capabilities, and host versus DPU differences into a consistent report. The skill defines structured output formats and manual fallback checks, including how to report unavailable tools and validation limits.
Assess a Linux host and choose an installation method for Holoscan SDK 5.x. Compare containers, Debian packages, Python wheels, and source builds against available releases, CUDA 13 compatibility, and the components needed.
Assess whether a DOCA application needs low-level communication controls beyond its higher-level APIs. For those cases, guide queue configuration, libibverbs migration, and error diagnosis using installed headers, version checks, and device capability queries.
Build Holoscan SDK 5.x from a selected tag, commit, or development branch using its run wrapper. Check prerequisites, choose build options, preserve existing changes, and verify the result with example tests for SDK development or Early Access features.
Implement structured telemetry, such as counters and events, from DOCA applications to external consumers. Guides publishing API selection, schema and source setup, build and test workflows, and debugging lifecycle errors or reports that never reach the receiver.
Create a new data source wrapper, code that connects remote weather data to Earth2Studio. The skill covers source selection, variable mapping, implementation, tests, and validation with real data, with further steps for documentation and pull request submission.
Upgrade or downgrade FPGA firmware on supported HSB Lattice boards and Leopard Imaging VB1940 cameras connected to an NVIDIA devkit. Identifies the hardware, selects version-specific files and commands, and verifies the installed version after flashing.
Investigate missing DOCA telemetry metrics with doca_telemetry_utils. Discover diagnostic counters, translate counter names to Data IDs and back, and check device support before adding counters to an exporter configuration.
Run DOCA service containers on BlueField using YAML deployment files and standalone kubelet, the agent that starts containers. Check service readiness and troubleshoot startup failures, image downloads, missing mounts, and repeated restarts.
Guides AES-GCM encryption and decryption development with DOCA on BlueField or ConnectX hardware. Covers supported key sizes, buffer permissions, published test vectors, and authentication tags, which detect altered data, including how to handle verification failures.
Capture and decode execution traces from BlueField DPA workloads to inspect kernel events, synchronization, and communication timing. Choose capture modes, adjust file limits and recording overhead, and diagnose empty traces or decoding failures.
Integrate DOCA SHA hardware into an existing OpenSSL workflow for one-shot hashing. The skill guides engine loading, checks whether hardware actually performed the work, and compares measured performance with CPU hashing to assess when offloading helps.
Use pcc_counters.sh to arm and read fixed congestion-control diagnostic counters on ConnectX or BlueField devices. Capture CNP, RTT, and WRED-drop readings, and investigate invalid device paths, empty output, or counters that remain at zero.
Build and troubleshoot data transfers with DOCA RDMA, which accesses remote memory over a network adapter. Start from installed samples, choose connection methods and permissions, check device capabilities, and investigate missing completions or queue errors.
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