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database-schema-design

tessl i github:secondsky/claude-skills --skill database-schema-design

Database schema design for PostgreSQL/MySQL with normalization, relationships, constraints. Use for new databases, schema reviews, migrations, or encountering missing PKs/FKs, wrong data types, premature denormalization, EAV anti-pattern.

91%

Overall

SKILL.md
Review
Evals

Validation

81%
CriteriaDescriptionResult

description_trigger_hint

Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...')

Warning

metadata_version

'metadata' field is not a dictionary

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

13

/

16

Passed

Implementation

85%

This is a well-structured, highly actionable skill with excellent progressive disclosure and clear workflows. The main weakness is some redundancy between sections (Critical Rules, Top 7 Errors, and Known Issues Prevention overlap significantly) and occasional explanations of concepts Claude already understands. The executable SQL examples and comprehensive checklists make this immediately useful for database schema work.

Suggestions

Consolidate the 'Known Issues Prevention' section into the 'Top 7 Critical Errors' section to eliminate redundancy and reduce token count

Remove explanatory phrases like 'Ensures row uniqueness, enables relationships' from the Critical Rules table - Claude understands why primary keys matter

DimensionReasoningScore

Conciseness

The skill is comprehensive but includes some redundancy (e.g., the 'Known Issues Prevention' section largely repeats the 'Critical Rules' and 'Top 7 Critical Errors' sections). Some explanations like 'Ensures row uniqueness, enables relationships' for primary keys are things Claude already knows.

2 / 3

Actionability

Excellent executable SQL examples throughout with clear before/after comparisons. Code is copy-paste ready with proper syntax for both PostgreSQL and MySQL. The production example demonstrates complete, working schema transformations.

3 / 3

Workflow Clarity

Clear 3-step quick start process, comprehensive checklists with explicit validation steps ('Before Creating Tables', 'Every Table Must Have', etc.), and well-sequenced guidance. The 'Complete Setup Checklist' provides explicit verification checkpoints.

3 / 3

Progressive Disclosure

Excellent structure with quick start at top, detailed sections below, and clear one-level-deep references to templates and reference files. The 'When to Load References' section explicitly guides when to access additional materials with specific file paths and line numbers.

3 / 3

Total

11

/

12

Passed

Activation

100%

This is a strong skill description that excels across all dimensions. It provides specific capabilities (schema design, normalization, constraints), uses natural developer terminology, explicitly states when to use it with concrete scenarios, and carves out a distinct niche in database schema design that won't conflict with other skills.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'schema design', 'normalization', 'relationships', 'constraints', 'schema reviews', 'migrations'. Also identifies specific anti-patterns to address like 'missing PKs/FKs', 'wrong data types', 'premature denormalization', 'EAV anti-pattern'.

3 / 3

Completeness

Clearly answers both what ('Database schema design for PostgreSQL/MySQL with normalization, relationships, constraints') and when ('Use for new databases, schema reviews, migrations, or encountering missing PKs/FKs, wrong data types, premature denormalization, EAV anti-pattern'). Explicit 'Use for' clause with specific trigger scenarios.

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say: 'PostgreSQL', 'MySQL', 'database', 'schema', 'migrations', 'PKs/FKs', 'data types', 'normalization'. These are terms developers naturally use when discussing database design issues.

3 / 3

Distinctiveness Conflict Risk

Clear niche focused specifically on database schema design with distinct triggers (PostgreSQL/MySQL, PKs/FKs, normalization, EAV anti-pattern). Unlikely to conflict with general coding skills or other database skills like query optimization.

3 / 3

Total

12

/

12

Passed

Reviewed

Table of Contents

ValidationImplementationActivation

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