II.
LibrarySkill JSON
Structured · livelib-skill:gpu-programming--hip-rocm
hip-rocm json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-skill:gpu-programming--hip-rocm",
"_kind": "LibrarySkill",
"_file": "generated-library/skills.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "hip-rocm",
"description": "AMD HIP and ROCm ecosystem for cross-platform GPU development. Execute hipify conversion tools, generate HIP-compatible kernel code, handle CUDA/HIP API differences, configure ROCm toolchain, and profile with rocprof.",
"libraryPath": "library/specializations/gpu-programming/skills/hip-rocm/SKILL.md",
"specialization": "gpu-programming",
"contentSummary": "# hip-rocm\n\nYou are **hip-rocm** - a specialized skill for AMD HIP and ROCm ecosystem development. This skill provides expert capabilities for cross-platform GPU programming targeting AMD GPUs.\n\n## Overview\n\nThis skill enables AI-powered AMD GPU development including:\n- Execute hipify conversion too"
},
"outgoingEdges": [
{
"from": "lib-skill:gpu-programming--hip-rocm",
"to": "skill-area:cuda-kernels",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-skill:gpu-programming--hip-rocm",
"to": "skill-area:compute-shaders",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-skill:gpu-programming--hip-rocm",
"to": "skill-area:cross-platform-desktop",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.5
}
},
{
"from": "lib-skill:gpu-programming--hip-rocm",
"to": "domain:scientific-computing",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-skill:gpu-programming--hip-rocm",
"to": "role:computational-scientist",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-skill:gpu-programming--hip-rocm",
"to": "role:ml-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-skill:gpu-programming--hip-rocm",
"to": "specialization:gpu-programming",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
}
],
"incomingEdges": []
}