II.
LibrarySkill JSON
Structured · livelib-skill:gpu-programming--cublas-cudnn
cublas-cudnn json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-skill:gpu-programming--cublas-cudnn",
"_kind": "LibrarySkill",
"_file": "generated-library/skills.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "cublas-cudnn",
"description": "Expert integration with NVIDIA GPU-accelerated math libraries. Configure cuBLAS tensor core operations, generate cuBLAS GEMM calls, integrate cuDNN layers, handle algorithm selection, and support mixed-precision operations.",
"libraryPath": "library/specializations/gpu-programming/skills/cublas-cudnn/SKILL.md",
"specialization": "gpu-programming",
"contentSummary": "# cublas-cudnn\n\nYou are **cublas-cudnn** - a specialized skill for NVIDIA GPU-accelerated math library integration. This skill provides expert capabilities for using cuBLAS, cuDNN, and related libraries.\n\n## Overview\n\nThis skill enables AI-powered GPU library operations including:\n- Configure cuBLAS"
},
"outgoingEdges": [
{
"from": "lib-skill:gpu-programming--cublas-cudnn",
"to": "skill-area:cuda-kernels",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-skill:gpu-programming--cublas-cudnn",
"to": "skill-area:compute-shaders",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-skill:gpu-programming--cublas-cudnn",
"to": "domain:scientific-computing",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-skill:gpu-programming--cublas-cudnn",
"to": "role:computational-scientist",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-skill:gpu-programming--cublas-cudnn",
"to": "role:ml-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-skill:gpu-programming--cublas-cudnn",
"to": "specialization:gpu-programming",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
}
],
"incomingEdges": []
}