{
  "id": "aws-dynamodb-data-modeling-performance-review",
  "name": "AWS DynamoDB Data Modeling Performance Review",
  "type": "skill",
  "provider": "aws",
  "harnesses": [
    "codex",
    "claude-code",
    "cursor",
    "gemini",
    "kiro",
    "other"
  ],
  "summary": "Review DynamoDB table design, partition keys, sort keys, GSIs/LSIs, hot partitions, query/scan patterns, capacity, global tables, TTL, DAX, and cost/performance tradeoffs.",
  "source_type": "original",
  "official_docs": [
    "https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/data-modeling.html",
    "https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/bp-table-design.html",
    "https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GSI.html",
    "https://docs.aws.amazon.com/prescriptive-guidance/latest/dynamodb-data-modeling/best-practices.html"
  ],
  "security_notes": "Do not recommend DynamoDB schemas without explicit access patterns, partition cardinality, index tradeoffs, capacity/cost implications, and migration or backfill safety.",
  "last_verified": "2026-06-02",
  "path": "skills/aws/aws-dynamodb-data-modeling-performance-review",
  "author": "github: VincentChuWaiChow",
  "version": "0.1.4"
}