iiRecord
Agentic AI Atlas · Production Feature Engineering
skill-area:feature-engineering-productiona5c.ai
II.
SkillArea JSON

skill-area:feature-engineering-production

Structured · live

Production Feature Engineering json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · domain/skill-areas/skill-areas-expanded.yamlCluster · domain
Record JSON
{
  "id": "skill-area:feature-engineering-production",
  "_kind": "SkillArea",
  "_file": "domain/skill-areas/skill-areas-expanded.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Production Feature Engineering",
    "description": "Operationalizing feature pipelines — feature stores (Feast, Tecton),\nonline/offline consistency, point-in-time correctness, feature\nmonitoring, and serving features at low latency for inference.\n",
    "expertiseLevels": [
      "intermediate",
      "expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "skill-area:feature-engineering-production",
      "to": "domain:data-engineering",
      "kind": "applies_to",
      "attributes": {
        "confidence": "primary"
      }
    },
    {
      "from": "skill-area:feature-engineering-production",
      "to": "domain:ml-ops",
      "kind": "applies_to",
      "attributes": {
        "confidence": "secondary"
      }
    },
    {
      "from": "skill-area:feature-engineering-production",
      "to": "skill-area:feature-engineering",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "recommended"
      }
    },
    {
      "from": "skill-area:feature-engineering-production",
      "to": "skill-area:feature-engineering-pipelines",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "helpful"
      }
    }
  ],
  "incomingEdges": [
    {
      "from": "role:recommendation-engineer",
      "to": "skill-area:feature-engineering-production",
      "kind": "requires_expertise",
      "attributes": {}
    }
  ]
}