Lists multiple specific concrete actions: separating code from data using records, designing immutable data with pure transformation functions, keeping data flat and denormalized with ID-based references, starting with generic data structures, ensuring data integrity through pure validation functions, and creating flexible generic data access layers.

Clearly answers both 'what' (applying DOP best practices including specific techniques like records, immutable data, pure functions, etc.) and 'when' (explicit 'Use when' clause at the start plus 'This should trigger for requests such as...' with example phrases).

Includes relevant terms like 'Data-Oriented Programming', 'Java', 'records', 'immutable data', 'refactor', but the trigger phrases are repetitive (duplicated entries) and miss natural variations users might say like 'DOP', 'value objects', 'data classes', or 'functional data modeling'.

Highly distinctive — targets a specific programming paradigm (Data-Oriented Programming) in a specific language (Java) with very particular techniques. Unlikely to conflict with general Java skills or other programming paradigm skills.

The skill has some unnecessary repetition (e.g., 'Apply Data-Oriented Programming' listed 3+ times in 'When to use'), the 'What is covered' section largely restates the opening paragraph, and it explains concepts Claude already knows (what records are, what immutability means). However, it's not excessively verbose overall.

The skill provides concrete commands (mvnw compile, mvnw clean verify) and references a detailed guide, but contains no executable code examples of the actual data-oriented patterns. The actual refactoring guidance is entirely deferred to the reference file, leaving the skill itself with only abstract descriptions of what to do.

The workflow is clearly sequenced with explicit validation checkpoints: compile before changes, stop on failure, apply changes, then verify with full build. The feedback loop for compilation failure is explicit ('stop immediately — do not proceed until resolved'), which is appropriate for destructive/batch refactoring operations.

The skill correctly references a single external file for detailed examples, which is good one-level-deep disclosure. However, without bundle files to verify the reference exists, and given that the skill body itself contains very little actionable content (almost everything is deferred), the balance between overview and reference is skewed — the skill is too thin as a standalone overview and relies entirely on the reference for substance.