AWS DynamoDB NoSQL database for scalable data storage. Use when designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, or troubleshooting performance issues.
81
75%
Does it follow best practices?
Impact
93%
1.00xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/dynamodb/SKILL.mdQuality
Discovery
85%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 a strong skill description that clearly identifies the technology (AWS DynamoDB), explains its purpose, and provides explicit trigger conditions. The main weakness is that trigger terms could include more user-friendly variations and common DynamoDB-specific terminology that users might naturally mention.
Suggestions
Add common DynamoDB-specific terms users might mention: 'partition key', 'sort key', 'GSI', 'LSI', 'read/write capacity units', 'on-demand mode'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'designing table schemas, writing queries, configuring indexes, managing capacity, implementing single-table design, troubleshooting performance issues' - these are all distinct, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what ('AWS DynamoDB NoSQL database for scalable data storage') and when with explicit 'Use when...' clause listing six specific trigger scenarios. | 3 / 3 |
Trigger Term Quality | Includes good technical terms like 'DynamoDB', 'table schemas', 'queries', 'indexes', 'single-table design', but missing common user variations like 'dynamo', 'NoSQL queries', 'partition key', 'sort key', 'GSI', 'LSI', or '.dynamodb'. | 2 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with 'AWS DynamoDB' as a clear niche identifier, plus DynamoDB-specific concepts like 'single-table design' and 'capacity' that wouldn't overlap with other database skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid DynamoDB reference skill with excellent actionable code examples covering common operations. The main weaknesses are some unnecessary introductory content that Claude already knows, and the monolithic structure that could benefit from splitting into focused sub-documents. Adding explicit validation workflows for operations like table creation and batch writes would improve reliability.
Suggestions
Remove the introductory paragraph explaining what DynamoDB is - Claude already knows this
Add validation steps after table creation (e.g., 'Verify table is ACTIVE: aws dynamodb describe-table --table-name Users')
Split CLI Reference and Troubleshooting sections into separate linked files to improve progressive disclosure
Add error handling and verification for batch operations (e.g., checking UnprocessedItems in batch_write response)
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient with good use of tables and code examples, but includes some unnecessary explanations Claude already knows (e.g., 'Amazon DynamoDB is a fully managed NoSQL database service providing fast, predictable performance at any scale'). The core concepts section explains basic DynamoDB concepts that Claude is familiar with. | 2 / 3 |
Actionability | Excellent executable code examples throughout - both AWS CLI and boto3 with complete, copy-paste ready snippets. CRUD operations, queries, batch operations, and troubleshooting all include concrete, runnable code. | 3 / 3 |
Workflow Clarity | While individual operations are clear, there's no explicit validation workflow for multi-step processes. For example, table creation doesn't include verification steps, and batch operations lack error handling/retry guidance beyond the exponential backoff example. | 2 / 3 |
Progressive Disclosure | The content is well-organized with a table of contents and clear sections, but it's a monolithic document (~300 lines) that could benefit from splitting detailed sections (like CLI Reference, troubleshooting) into separate files. References are external links only, not internal skill documentation. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
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Table of Contents
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