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.

Quality

90%

Does it follow best practices?

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Securityby

Passed

No findings from the security scan

Quality

Content

80%Weight 40%Scale 1-5

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

A dense, highly actionable reference skill with excellent progressive disclosure and mostly lean prose. The main gap is missing explicit validation/retry feedback loops for destructive and batch database operations.

Suggestions

Add explicit validate-and-retry guidance for TransactWriteItems reference-count updates (e.g., check ConditionCheckFailure, retry on conflict) and TTL-guarded reads to satisfy the destructive/batch feedback-loop requirement.

Move the full MCP pricing server JSON config blocks (macOS/Linux and Windows variants) and prerequisites into references/dynamodb-patterns.md, leaving a one-line pointer in SKILL.md to tighten conciseness.

Clarify any sequencing/checkpoints around the Scan + UpdateItem ETL backfill (e.g., verify item count before/after, handle throttling) since it is a batch operation on a live table.

Dimension	Reasoning	Score
Conciseness	Lean, table-driven body that assumes Claude's competence without padding concepts, though the full MCP pricing JSON config blocks (macOS/Linux + Windows) and version-matrix prose could be tightened or moved to the reference.	4 / 5
Actionability	Provides fully actionable, copy-paste-ready guidance: exact sort-key formats (ISSUE#00000009, ISSUE#CLOSED#<id>), TransactWriteItems with attribute_not_exists, begins_with() usage, TotalSegments+Segment parallel scans, and a pinned provider version with a PR link.	5 / 5
Workflow Clarity	Decision frameworks are clear (single-table vs multi-table, additive-vs-ETL migration matrix), but destructive/batch database operations like TransactWriteItems reference-count increments and TTL-guarded reads lack explicit validate/retry feedback loops, which caps database-operation workflows per the rubric notes.	3 / 5
Progressive Disclosure	SKILL.md is a well-structured overview with a single one-level-deep, well-signaled reference (references/dynamodb-patterns.md, verified present) linked via anchored paths and a dedicated Reference Loading Strategy section.	5 / 5
	Total	17 / 20 Passed

Description

100%Weight 40%Scale 1-5

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, well-constructed description that answers what and when with concrete actions and comprehensive natural trigger terms. Third-person voice is maintained throughout.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete capabilities (data modeling, access patterns, single-table design, GSIs, multi-attribute composite keys, one-to-many relationships, cost optimization, Terraform resources) with comprehensive coverage.	5 / 5
Completeness	Explicitly answers both 'what' (patterns/best practices for DynamoDB data modeling and access patterns) and 'when' (Use when... + Triggers on...) with concrete trigger phrases.	5 / 5
Trigger Term Quality	Includes both a 'Use when...' clause and an explicit 'Triggers on:' list of natural user terms (DynamoDB, single-table design, GSI, partition key, sort key, access patterns, filter expressions, TTL) with synonyms.	5 / 5
Distinctiveness Conflict Risk	Targets a clear niche (Amazon DynamoDB specifically) with distinct triggers and minimal overlap risk, matching the clear-niche anchor.	5 / 5
	Total	20 / 20 Passed

Validation

100%

Warnings & errors only

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: a-pavithraa/aws-serverless-skill
Path: skills/aws-dynamodb/SKILL.md
Commit: 2b66211

Reviewed: 2 days ago

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