391 skills (repositories by NVIDIA) · sorted by popularity
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.
Maintain and validate OpenShell builds for Windows on x64 and ARM64 using MSVC, Microsoft's C++ toolchain. Check compilation, build executables, run tests on native hosts, and report artifacts and unsupported driver behavior.
Check whether OpenShell issues and pull requests fit the project, then track review feedback and automated checks. State labels show what needs attention and when a pull request is ready for maintainer approval or a merge decision.
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.
Develop and fix OpenShell’s keyboard-driven terminal interface using guidance on screen structure, background data fetching, themes, and navigation. Follow existing implementation patterns to add features that fit the interface’s established behavior.
Investigate a specific OpenShell problem or feature need and create a structured GitHub issue. Record observed behavior, technical findings, alternatives, and missing evidence so a human can decide what to accept and pursue.
Diagnose unreachable or unhealthy OpenShell gateways and sandbox startup failures. Identify the underlying execution platform, then examine logs, authentication, certificates, and configuration with the matching tools to narrow down the cause.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Plan and validate NVSHMEM and NVSHMEM4Py installations on individual machines, clusters, or containers. Checks system facts against version-specific documentation, selects a suitable installation method, and prepares commands and runtime validation steps for review.
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.
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.
Measure NVSHMEM communication bandwidth and latency, then package results with GPU placement, hardware connections, exact commands, and raw logs. Produce a portable Markdown report for performance checks and comparisons against a baseline collected under matching conditions.
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.