Summary
NVIDIA published an official agent skills repository at nvidia/skills using the identical SKILL.md format that opencode-owl's skill_install already supports. This issue tracks installing all relevant NVIDIA skills into the local registry with zero code changes.
GPU Environment
- GPU: NVIDIA GB10 (Grace Blackwell) — 121.6 GB VRAM, SM 12.1
- CUDA: 13.0
- Ollama: running with qwen3.5-35b, qwen3.6-reasoning, gpt-oss:20b, etc.
Skills to Install
Run the following skill_install MCP calls (or equivalent CLI) for each skill:
| Skill |
Path |
Description |
aiq-deploy |
skills/aiq-deploy |
Deploy NVIDIA AI-Q Blueprint infrastructure |
aiq-research |
skills/aiq-research |
Run deep research via AI-Q backend |
cuopt-install |
skills/cuopt/cuopt-install |
Install cuOpt (GPU-accel optimizer) |
cuopt-developer |
skills/cuopt/cuopt-developer |
cuOpt development workflows |
cuopt-routing-api-python |
skills/cuopt/cuopt-routing-api-python |
VRP/TSP routing optimization |
cuopt-numerical-optimization-api-python |
skills/cuopt/cuopt-numerical-optimization-api-python |
LP/MILP/QP optimization |
# Via MCP (from Claude Code with opencode-owl MCP active)
skill_install({ repo: "nvidia/skills", path: "skills/aiq-deploy" })
skill_install({ repo: "nvidia/skills", path: "skills/aiq-research" })
skill_install({ repo: "nvidia/skills", path: "skills/cuopt/cuopt-install" })
skill_install({ repo: "nvidia/skills", path: "skills/cuopt/cuopt-developer" })
skill_install({ repo: "nvidia/skills", path: "skills/cuopt/cuopt-routing-api-python" })
skill_install({ repo: "nvidia/skills", path: "skills/cuopt/cuopt-numerical-optimization-api-python" })
Compatibility Notes
aiq-research requires AIQ_SERVER_URL env var (or a local AI-Q server at localhost:8000)
cuopt-* requires CUDA ≥ SM 7.0 — GB10 (SM 12.1) fully satisfies this requirement
- All skills are Apache-2.0 licensed
Acceptance Criteria
Effort: 10 minutes | Priority: P0 (no code change required)
Summary
NVIDIA published an official agent skills repository at nvidia/skills using the identical SKILL.md format that opencode-owl's
skill_installalready supports. This issue tracks installing all relevant NVIDIA skills into the local registry with zero code changes.GPU Environment
Skills to Install
Run the following
skill_installMCP calls (or equivalent CLI) for each skill:aiq-deployskills/aiq-deployaiq-researchskills/aiq-researchcuopt-installskills/cuopt/cuopt-installcuopt-developerskills/cuopt/cuopt-developercuopt-routing-api-pythonskills/cuopt/cuopt-routing-api-pythoncuopt-numerical-optimization-api-pythonskills/cuopt/cuopt-numerical-optimization-api-pythonCompatibility Notes
aiq-researchrequiresAIQ_SERVER_URLenv var (or a local AI-Q server atlocalhost:8000)cuopt-*requires CUDA ≥ SM 7.0 — GB10 (SM 12.1) fully satisfies this requirementAcceptance Criteria
skill_list()skill_check_compatibilitypasses for cuopt skills on this GPUskill_search("cuopt")returns cuopt skillsskill_search("deep research")returns aiq-researchEffort: 10 minutes | Priority: P0 (no code change required)