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aws-dynamodb

Patterns and best practices for Amazon DynamoDB data modeling and access patterns. Use when the user asks about DynamoDB table design, single-table design, GSIs, multi-attribute composite keys, one-to-many relationships, cost optimization, or Terraform DynamoDB resources. Triggers on: DynamoDB, single-table design, GSI, partition key, sort key, access patterns, filter expressions, TTL, vertical sharding, composite keys, multi-attribute keys.

90

1.30x
Quality

90%

Does it follow best practices?

Impact

86%

1.30x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Evaluation results

88%

38%

Global E-Sports Tournament Platform — DynamoDB Infrastructure

Multi-attribute composite GSI with DynamoDB Streams in Terraform

Criteria
Without this skill
With this skill

No synthetic concatenated keys

0%

100%

Multi-attribute GSI definition

0%

100%

Provider version constraint

0%

100%

All PK attributes in queries

90%

100%

SK left-to-right order, no gaps

100%

100%

Inequality only on final SK attribute

100%

100%

ExpressionAttributeNames for reserved words

70%

100%

KEYS_ONLY or INCLUDE projection

0%

0%

Stream enabled with NEW_AND_OLD_IMAGES

100%

100%

80%

-3%

Issue Tracker Storage Layer

DynamoDB issue tracker — sort key design and atomic reference counts

Criteria
Without this skill
With this skill

Access patterns first

75%

100%

Status in sort key

50%

0%

No status FilterExpression

100%

100%

Zero-padded issue numbers

100%

100%

# prefix or numeric-difference trick

41%

50%

Single query for project + recent issues

100%

100%

TransactWriteItems for issue creation

100%

100%

attribute_not_exists idempotency

100%

100%

No count-at-read-time

100%

100%

90%

24%

User Session and Notification Service

Session & notification DynamoDB layer — TTL guards, sparse GSI, vertical sharding

Criteria
Without this skill
With this skill

TTL as epoch integer

75%

100%

ExpiresAt as ISO string

0%

0%

TTL guard on session reads

100%

83%

Sparse GSI attributes on notification create

100%

100%

Mark-as-read removes GSI attributes

66%

100%

Unread query targets sparse GSI

100%

100%

No status FilterExpression for unread

100%

100%

Vertical sharding — two items per session

0%

100%

Vertical sharding — same partition key

0%

100%

Notifications as separate items

100%

100%

Schema design rationale

100%

100%

Repository
a-pavithraa/aws-serverless-skill
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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