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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.

94

Quality

93%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Discovery

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.

This is an excellent skill description that follows best practices. It clearly states the capability (DynamoDB data modeling patterns), provides explicit 'Use when' guidance with specific scenarios, and includes a comprehensive list of trigger terms. The description is specific to DynamoDB without being overly verbose.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions and concepts: 'table design, single-table design, GSIs, multi-attribute composite keys, one-to-many relationships, cost optimization, Terraform DynamoDB resources' - these are all concrete, actionable domains.

3 / 3

Completeness

Clearly answers both what ('Patterns and best practices for Amazon DynamoDB data modeling and access patterns') and when ('Use when the user asks about...') with explicit trigger guidance and a dedicated triggers list.

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say, including both technical terms (GSI, partition key, sort key, TTL) and conceptual terms (single-table design, access patterns, composite keys). The explicit 'Triggers on:' list provides comprehensive keyword coverage.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with DynamoDB-specific terminology (GSI, partition key, sort key, single-table design) that would not conflict with other database or general data skills. The niche is clearly defined.

3 / 3

Total

12

/

12

Passed

Implementation

87%

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

This is a well-crafted skill that efficiently guides DynamoDB design decisions. It excels at conciseness through effective use of tables and anti-pattern lists, provides actionable MCP server configurations, and properly delegates detailed content to a reference file. The only weakness is the lack of validation/troubleshooting steps for the MCP server setup.

Suggestions

Add a brief validation step after MCP server configuration (e.g., 'Verify installation by calling `get_pricing` with service_code="AmazonDynamoDB"')

Include a troubleshooting note for common MCP server connection issues or credential problems

DimensionReasoningScore

Conciseness

Content is lean and efficient with no unnecessary explanations. Uses tables for quick scanning, avoids explaining what DynamoDB is, and every section provides actionable guidance without padding.

3 / 3

Actionability

Provides concrete, copy-paste ready MCP server configurations for both macOS/Linux and Windows. Decision frameworks give specific criteria for choosing approaches. Anti-patterns are explicit and actionable.

3 / 3

Workflow Clarity

The skill is primarily a reference/decision guide rather than a multi-step workflow, but the MCP server installation section lacks validation steps (e.g., how to verify the server is working, what to do if connection fails).

2 / 3

Progressive Disclosure

Excellent structure with a quick reference table pointing to the detailed reference file, clear section organization, and appropriate content split. The 395-line reference file is properly signaled as the deep-dive resource.

3 / 3

Total

11

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
a-pavithraa/aws-serverless-skill
Reviewed

Table of Contents

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