Implement an authorized fix for a reviewed security issue, check the plan against current code, and add regression tests to catch recurrence. Verify affected components and open a pull request that closes the issue while respecting disclosure rules.
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Turn a GitHub issue into a scoped implementation plan and, when authorized, code changes, tests, documentation, and a pull request that closes it. Check existing ownership and feedback to keep work aligned with acceptance criteria.
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Handle network requests blocked by an OpenShell sandbox by checking its current access rules and proposing the smallest necessary change. Wait for approval and confirmation that the policy has reloaded before retrying the request.
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Assess OpenShell issues by checking first-hand use cases, reproduction evidence, existing behavior, and duplicates. Prepare a concise technical assessment, request specific missing information, and leave acceptance and roadmap decisions to human maintainers.
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Launch and supervise gator agents for specific GitHub issues or pull requests in OpenShell. Check isolated execution environments, inspect logs, restart stalled agents, and test model or image overrides without changing default settings.
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Keep repository contribution guidance consistent after workflow changes. Compare agent skills, coding guidance, contributor documentation, and issue and pull request templates, then fix contradictory instructions, outdated references, and mismatched inventories.
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Manage isolated working environments in OpenShell using its command-line tool. Register gateways, create and connect to sandboxes, configure credential providers, and reuse workload templates with shared images, environment settings, and computing resources.
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Create GitHub issues for OpenShell bugs, feature requests, and tasks using the gh command-line tool. Organize firsthand use cases, impact, and completion criteria into the project's templates, then return the created issue link.
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Create GitHub pull requests with the gh command-line tool. Check linked issues, contributor permissions, branch conventions, and relevant tests, then prepare a title and description that follow the project's contribution rules.
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Review recent Git commits to find changes that affect users, then update the relevant documentation pages. Identify missing pages, explain changed behavior or migration steps, and validate the resulting documentation with the project's build tools.
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Diagnose a specific failing, hanging, or incorrect Holoscan CLI command. The skill guides reproducible investigation, isolates the responsible layer, applies a minimal fix, and checks the same command and focused tests to verify the result.
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Develop reusable external Holoscan Modules with the Holoscan CLI, from scaffolding and testing to Python bindings and package creation. Verify that applications can use installed packages in a clean environment, with checks for each requested format.
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Create and validate Cosmos Data Factory YAML configurations for changing video scenes, editing images, or generating videos. Run generation through remote model APIs, configure captions and quality checks, and retry candidates within a defined limit.
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Helps prepare video and image datasets with Cosmos Curator through splitting, filtering, deduplication, captioning, and embeddings, numerical representations for matching. Covers pipeline configuration, execution checks, Cosmos Dataset Search ingestion and search, and compatible handoffs to TAO data mining.
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Guides CDF Auto-Labeling workflows for annotating data such as videos. Routes tasks to specialized references, covering shipped examples, stage selection, prompt and configuration changes, pipeline migration, container retrieval, and output validation.
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Generate protein structures and sequences with specified conditions using NVIDIA's hosted API or a local NIM service. Supports binder and antibody design, reward-guided search, and inspection of generated candidates, outputs, and validation results.
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Create synthetic defect images for detector training using clean images and masks that mark defect regions. Guide mask placement, Cosmos fine-tuning, image generation, evaluation, quality refinement, and automatic assignment of provisional labels.
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Recommends network-port assignments and environment settings for NVSHMEM using the compute node’s actual GPU and network topology. Helps select adapters, evaluate multiple-port options, and identify missing evidence before producing an exact configuration.
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Assess whether NVSHMEM suits communication between GPUs, then learn its core concepts and plan a first C/C++ or Python program. Guidance covers program structure, compilation, launch commands, and appropriate next steps.
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Choose an NVSHMEM transport, the communication path between compute nodes, from installed plugins, network evidence, and optional workload analysis. Receive a recommended configuration with minimal environment variables, compatibility evidence, alternatives, and clearly stated unknowns.
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Review or prepare an NVSHMEM CUDA kernel for TMA, a GPU data-transfer mechanism. Assess hardware suitability, add shared-memory registration and launch settings, and consider direct transfers from shared memory when an intermediate copy is proven redundant.
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Diagnose NVSHMEM launch failures, crashes, hangs, and communication problems using exact commands and complete logs. Separates observations from likely causes, checks version-specific documentation, and prepares a Markdown bug report for the user to submit.
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Find official NVSHMEM and NVSHMEM4Py documentation for installation, APIs, runtime settings, and troubleshooting. Receive concise explanations with direct source links, relevant version details, and explicit uncertainty when the requested documentation or compatibility evidence cannot be verified.
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Choose the appropriate NVSHMEM performance workflow for collecting benchmark evidence, selecting communication between nodes, assigning network adapters to processing elements, or assessing TMA transfers between peer GPUs. This skill routes requests to specialists that perform the technical work.
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