iiRecord
Agentic AI Atlas · Athlete Performance Analytics Review
workflow:athlete-performance-analytics-reviewa5c.ai
II.
Workflow JSON

workflow:athlete-performance-analytics-review

Structured · live

Athlete Performance Analytics Review json

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

File · workflows/workflows/workflows-sports.yamlCluster · workflows
Record JSON
{
  "id": "workflow:athlete-performance-analytics-review",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-sports.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "Athlete Performance Analytics Review",
    "workflowKind": "governance",
    "triggerType": "scheduled",
    "typicalCadence": "weekly",
    "complexity": "cross-team",
    "description": "Reviews athlete performance data and training load metrics --\naggregating GPS tracking, heart rate variability, and biomechanical\nsensor data from training sessions and competitions, computing\nacute-to-chronic workload ratios to assess injury risk, analyzing game\nfilm with computer vision for tactical pattern recognition, benchmarking\nindividual metrics against positional norms, and correlating recovery\nprotocol adherence with performance outcomes. Produces athlete readiness\ndashboards, injury risk flags, and periodization adjustment\nrecommendations. Excludes medical diagnosis and treatment.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "role:ml-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "role:planner",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "skill-area:ml-fine-tuning",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "domain:sports-fitness",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "domain:data-engineering",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "responsibility:slo-definition",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "org-unit:analytics-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:athlete-performance-analytics-review",
      "to": "org-unit:data-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}