II.
LibrarySkill JSON
Structured · livelib-skill:data-science-ml--bentoml-model-packager
bentoml-model-packager json
Inspect the normalized record payload exactly as the atlas UI reads it.
{
"id": "lib-skill:data-science-ml--bentoml-model-packager",
"_kind": "LibrarySkill",
"_file": "generated-library/skills.yaml",
"_cluster": "generated-library",
"attributes": {
"displayName": "bentoml-model-packager",
"description": "BentoML skill for model packaging, serving, and containerization.",
"libraryPath": "library/specializations/data-science-ml/skills/bentoml-model-packager/SKILL.md",
"specialization": "data-science-ml",
"contentSummary": "# bentoml-model-packager\n\n## Overview\n\nBentoML skill for model packaging, serving, and containerization with support for multiple ML frameworks.\n\n## Capabilities\n\n- Bento creation and versioning\n- Multi-framework model support (sklearn, PyTorch, TensorFlow, etc.)\n- API endpoint definition "
},
"outgoingEdges": [
{
"from": "lib-skill:data-science-ml--bentoml-model-packager",
"to": "skill-area:model-serving-deployment",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 1
}
},
{
"from": "lib-skill:data-science-ml--bentoml-model-packager",
"to": "skill-area:model-serving-operations",
"kind": "lib_requires_skill_area",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-skill:data-science-ml--bentoml-model-packager",
"to": "domain:data-science",
"kind": "lib_applies_to_domain",
"attributes": {
"weight": 1
}
},
{
"from": "lib-skill:data-science-ml--bentoml-model-packager",
"to": "role:ml-ops-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 1
}
},
{
"from": "lib-skill:data-science-ml--bentoml-model-packager",
"to": "role:ml-engineer",
"kind": "lib_involves_role",
"attributes": {
"weight": 0.7
}
},
{
"from": "lib-skill:data-science-ml--bentoml-model-packager",
"to": "workflow:ml-model-lifecycle",
"kind": "lib_implements_workflow",
"attributes": {
"weight": 1
}
},
{
"from": "lib-skill:data-science-ml--bentoml-model-packager",
"to": "specialization:data-science-ml",
"kind": "lib_belongs_to_specialization",
"attributes": {
"weight": 1
}
}
],
"incomingEdges": []
}