jbvc/nosql-expert
Expert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.
73
73%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
82%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 description with excellent specificity and distinctiveness, naming concrete technologies and design patterns that serve as natural trigger terms. Its main weakness is the lack of an explicit 'Use when...' clause, which would help Claude know precisely when to select this skill over others. Adding trigger guidance would elevate this from good to excellent.
Suggestions
Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about NoSQL data modeling, Cassandra schema design, DynamoDB table design, partition key selection, or scaling distributed databases.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions/concepts: 'mental models', 'query-first modeling', 'single-table design', 'avoiding hot partitions', and names specific technologies (Cassandra, DynamoDB). These are concrete, actionable areas of guidance. | 3 / 3 |
Completeness | The 'what' is well-covered (expert guidance on distributed NoSQL databases with specific focus areas), but there is no explicit 'Use when...' clause or equivalent trigger guidance. Per the rubric, a missing 'Use when...' clause caps completeness at 2. | 2 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'NoSQL', 'Cassandra', 'DynamoDB', 'partition', 'hot partitions', 'single-table design', 'distributed', 'high-scale'. These are terms a developer would naturally use when seeking this kind of help. | 3 / 3 |
Distinctiveness Conflict Risk | The description carves out a clear niche: distributed NoSQL databases with specific named technologies (Cassandra, DynamoDB) and specific design patterns (query-first modeling, single-table design, hot partitions). This is unlikely to conflict with general database or SQL skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill provides a solid conceptual framework for NoSQL design with Cassandra and DynamoDB, featuring useful patterns like single-table design and a practical checklist. However, it leans toward educational/explanatory content that Claude likely already knows (SQL vs NoSQL differences, basic distributed systems concepts) rather than providing executable, actionable artifacts like CQL schemas, DynamoDB CloudFormation templates, or SDK code examples. The lack of concrete code and iterative validation workflows limits its practical utility.
Suggestions
Add executable code examples: CQL CREATE TABLE statements for Cassandra, AWS CLI or SDK snippets for DynamoDB table creation and queries, to make guidance copy-paste ready.
Remove or drastically condense the SQL vs NoSQL comparison table and 'When to Use' section—Claude already understands these concepts and the tokens are better spent on concrete patterns.
Add a validation/verification workflow: e.g., how to use nodetool or CloudWatch metrics to detect hot partitions after deployment, with specific commands and thresholds.
Split Cassandra-specific and DynamoDB-specific guidance into separate referenced files to improve progressive disclosure and keep the main skill focused on shared mental models.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is mostly efficient but includes some unnecessary framing (e.g., the 'When to Use' section, the 'Overview' paragraph explaining what the skill does, and the SQL vs NoSQL comparison table covers concepts Claude already knows well). The mental shift table and golden rule quote add some padding. | 2 / 3 |
Actionability | Provides concrete design patterns with table examples (single-table design) and specific anti-patterns, but lacks executable code/commands. No CQL or DynamoDB CLI examples, no SDK code snippets, no concrete query syntax beyond pseudocode-level WHERE clauses. Guidance is specific but not copy-paste ready. | 2 / 3 |
Workflow Clarity | The Query-First Modeling section provides a clear 3-step process, and the Expert Checklist serves as a validation checkpoint. However, there are no feedback loops for error recovery, no explicit validation steps (e.g., how to detect hot partitions after deployment), and the checklist is static rather than iterative. | 2 / 3 |
Progressive Disclosure | Content is well-structured with clear headers and logical sections, but it's a monolithic document with no references to external files for deeper dives. The Cassandra and DynamoDB sections could benefit from linking to separate detailed guides. For a skill of this length (~100 lines of substantive content), some splitting would improve navigation. | 2 / 3 |
Total | 8 / 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.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
Reviewed
Table of Contents