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705-technologies-nosql-mongodb

Use when you need framework-agnostic MongoDB and non-relational database query guidance — document schema design, collection modeling, JSON Schema validation, indexes, aggregation pipelines, query performance, consistency trade-offs, transactions, and operational safety — without choosing Spring Boot, Quarkus, or Micronaut. This should trigger for requests such as Design MongoDB document schemas; Review MongoDB queries and indexes; Improve aggregation pipeline performance; Model non-relational data access patterns; Review NoSQL consistency and transaction trade-offs. Part of cursor-rules-java project

70

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

72%

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

A well-organized, lean overview with good progressive disclosure, but it leans on the reference file for actionable specifics and describes verification abstractly rather than as an explicit feedback loop. Tightening the workflow with concrete validate/retry checkpoints would lift the weakest dimensions.

Suggestions

Inline a small executable example (e.g., a compound-index definition or an explain() snippet) so core query guidance is actionable without opening the reference.

Replace the abstract step-4 verification ('appropriate build, schema validation, query-plan ... checks') with an explicit validate->fix->retry checkpoint sequence naming the commands to run.

DimensionReasoningScore

Conciseness

The body is a lean overview that assumes Claude's competence — it never explains what MongoDB or a collection is, and the dense bulleted coverage and constraint lists each earn their tokens.

3 / 3

Actionability

Verification commands (./mvnw compile, ./mvnw clean verify, explain()) and cross-skill handles are concrete, but the core query/index/aggregation guidance is directive ('following the reference patterns') rather than giving executable specifics inline — actionable detail is deferred to the reference file.

2 / 3

Workflow Clarity

A clear 4-step numbered sequence with a verification step exists, but for database operations the expected validate->fix->retry feedback loop is described abstractly ('appropriate build, schema validation, query-plan ... checks') rather than as an explicit checkpoint loop.

2 / 3

Progressive Disclosure

A concise overview points to a single one-level-deep reference via a clearly signaled markdown link to references/705-technologies-nosql-mongodb.md, which exists — well-split, easy to navigate.

3 / 3

Total

10

/

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 concrete actions, natural trigger terms, explicit when-guidance, and a clear niche. Third-person voice is maintained throughout.

DimensionReasoningScore

Specificity

Enumerates many concrete actions — 'document schema design, collection modeling, JSON Schema validation, indexes, aggregation pipelines, query performance, consistency trade-offs, transactions, and operational safety' — matching the 'multiple specific concrete actions' anchor.

3 / 3

Completeness

An explicit 'Use when you need...' clause plus 'This should trigger for requests such as...' clearly answers both what the skill does and when to invoke it.

3 / 3

Trigger Term Quality

Trigger phrases like 'Design MongoDB document schemas', 'Review MongoDB queries and indexes', and 'Improve aggregation pipeline performance' are natural requests a user would actually say, giving good coverage.

3 / 3

Distinctiveness Conflict Risk

The 'framework-agnostic ... without choosing Spring Boot, Quarkus, or Micronaut' carve-out gives it a clear niche unlikely to trigger for the framework-specific skills.

3 / 3

Total

12

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
jabrena/cursor-rules-java
Reviewed

Table of Contents

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