380건(NVIDIA의 저장소) · 인기순
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coding guidance, contributor documentation, and issue and pull request templates, then fix contradictory instructions, outdated references, and mismatched inventories.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Set up and manage a local Kubernetes development environment for OpenShell using k3d, Skaffold, and Helm. Build and deploy changes, inspect traces, configure optional authentication components, and test behavior across multiple gateway replicas.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Generate an OpenShell SBOM, an inventory of software components, with Syft. Fill missing license details from public registries, export CSV files for compliance review, and inspect or validate SBOMs attached to container images.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Run OpenShell’s Release Canary checks to verify that published development packages and Helm charts install and support basic sandbox operations. Use workflow logs and local Kubernetes reproduction steps to investigate failures before a public release.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Connect the Newton physics engine to an Omniverse simulation or ovstage with ovnewton. Use when importing a populated ovstage into Newton, stepping its physics, synchronizing stage edits, or publishing simulation state for Omniverse rendering.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Captures what an AI agent is supposed to do — its purpose, boundaries, and success criteria — as a durable snapshot for anyone building, evaluating, reviewing, or changing it. Explores the user's codebase and docs first, then asks one intent question at a time for what source cannot supply. Hands its answers to ethos-write, which writes ethos.md. Use over generic brainstorming when the goal is an agent's ethos.md.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Writes an AI agent's ethos.md — a durable snapshot of its purpose, intended behavior, boundaries, and success criteria — from the answers gathered by ethos-explore. Renders the schema-v1 template, validates the front matter and required markdown sections, saves the file in the agent's repository, and reviews it with the user. Also edits an existing ethos.md. Use over generic planning skills for an agent's ethos.md.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Entry point for an AI agent's ethos.md: a durable snapshot of what the agent is for, what it must not do, and what success looks like. Routes a request to explore and capture intent (ethos-explore), or write or edit the file (ethos-write), including renaming an Eval Author 0.1.0 ETHOS.md. Owns the standard every ethos sub-flow follows. Use when the user asks "help me write an ethos.md", "does my agent have an ethos.md?", "update my agent's ethos.md", or when you need to pick between the ethos sub-flows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when accelerating existing genomics workflows with NVIDIA Parabricks, improving runtime or price/performance, converting pipeline steps to GPUs, or comparing CPU and GPU workflow outputs. Adds optional GPU steps in-place with runtime toggles (default off). Do NOT use for individual pbrun command routing — use parabricks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Plan NVIDIA Parabricks pbrun commands, translate CPU options and check runtime readiness. Use for individual tools, including planning-only questions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Model and publish semantic definitions in Auto Ontology. Use for terms, relationships, measures, imports, and governed results—not deployment or querying.
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Query Auto Ontology and validate generated SQL, rows, and answers. Use for MCP or REST access, readiness, authentication, conversations, and grounded questions.
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Set up or troubleshoot the Auto Ontology runtime. Use for Helm (the official install), Docker Compose, developer setup, and MCP connection to an existing deployment.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Set up the public CodonFM v1 repository and download public Encodon checkpoints. Use for requests to build or launch the CodonFM development container, configure local data/checkpoint mounts, verify GPU access, or download public Encodon 80M, 600M, 1B, or Cdwt-1B weights. Do not use for Decodon, Encodon 5B/10B, missense-aggregation, or codon-optimization setup because those implementations are not in the public repository.
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Validate coding-sequence CSVs, extract public CodonFM/Encodon embeddings, and choose checkpoints for downstream property modeling.
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Validate, prepare, or run public CodonFM Encodon masked-codon variant scoring and review compatibility of its scoring workflows. Use only when the user explicitly requests CodonFM or Encodon, or that context is already established in the conversation. Do not select this skill for a generic variant-scoring request without that context; ask for the variant and intended analysis first.
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Fine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only, or full fine-tuning. Use when a user explicitly asks to fine-tune CodonFM or Encodon for regression or classification. Support generic public-v1 Encodon workflows only; reject Decodon, MissenseDataset, missense_synom_agg, and generation workflows.
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Use only to generate or update a governance skill card for a specified existing agent skill directory. Do not use for explaining, listing, comparing, or discussing skill capabilities.
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