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aws-dynamodb-best-practices

AWS DynamoDB best practices for table design and data modeling. Use when designing DynamoDB schemas, choosing partition/sort keys, creating secondary indexes, modeling relationships, handling time series data, or optimizing query patterns. Triggers on tasks involving DynamoDB table creation, key design, GSI/LSI configuration, single-table design, adjacency lists, write sharding, or capacity planning. Does not cover DynamoDB SDK/API reference or CloudFormation/Terraform resource definitions.

75

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

SKILL.md
Quality
Evals
Security

Quality

Content

87%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A concise, highly actionable reference skill with excellent progressive disclosure and concrete DynamoDB design conventions. The only gap is the absence of explicit validation/feedback-loop workflows for its database operations, which caps workflow clarity.

Suggestions

Add an explicit design workflow with sequenced steps (e.g., list access patterns → choose keys → select indexes → verify with sample queries) so the process is unambiguous.

For concurrency and write operations, include a brief validate/retry checkpoint (e.g., use ConditionExpression with optimistic locking and retry on ConditionalCheckFailedException) to provide the feedback loop the rubric expects for database ops.

DimensionReasoningScore

Conciseness

Lean, opinionated body using tables and code blocks; it assumes Claude's competence and avoids explaining what DynamoDB is, so nearly every token earns its place.

3 / 3

Actionability

Provides concrete PK/SK encoding examples, a worked one-to-many item layout, explicit GSI-vs-LSI conditions, and specific capacity figures (400 KB limit, '~100 KB → S3 offload', '2x WCU'), giving copy-ready design guidance.

3 / 3

Workflow Clarity

Well-structured with a corrective Common-Mistakes table, but there is no explicit sequenced workflow, and the database/concurrency operations lack validate/retry feedback loops — which the rubric notes cap workflow clarity at 2 for database operations.

2 / 3

Progressive Disclosure

Clear overview in SKILL.md with five well-signaled one-level-deep references (all verified to exist in references/) and a consolidated Reference Files section, splitting detail appropriately.

3 / 3

Total

11

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, specific description with explicit 'what' and 'when' triggers, natural user-facing keywords, and clear scope boundaries that reduce conflict risk. It is concise without padding or over-claims.

DimensionReasoningScore

Specificity

Lists many concrete actions — designing schemas, choosing partition/sort keys, creating secondary indexes, modeling relationships, handling time series, optimizing query patterns — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly states what it does ('best practices for table design and data modeling') and when to use it via an explicit 'Use when designing...' and 'Triggers on...' clause, satisfying both what and when.

3 / 3

Trigger Term Quality

Uses natural terms a DynamoDB user would say (partition/sort keys, secondary indexes, GSI/LSI, single-table design, write sharding, capacity planning), giving good coverage of likely user phrasings.

3 / 3

Distinctiveness Conflict Risk

Narrow DynamoDB-table-design niche with distinct triggers and an explicit scope exclusion ('Does not cover DynamoDB SDK/API reference or CloudFormation/Terraform resource definitions') that minimizes conflict with adjacent skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
provectus/awos-recruitment
Reviewed

Table of Contents

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