Conciseness

The code blocks are lean, but the body carries several padded sections: the Examples section (lines 341-430) duplicates Core Patterns nearly verbatim (Claude invocation, streamResponse, and a Spring service each appear twice), a ~57-line inline model-ID constant block duplicates two existing reference files and embeds dated version strings, and Best Practices bullets overlap Constraints and Warnings. This is more padding than the level-3 'some unnecessary explanation', but since the majority of the file is dense executable code rather than prose explanation, it sits just above the midpoint rather than at level 2.

Actionability

Concrete, near-copy-paste Java for dependencies, client setup, per-provider payload construction, streaming handlers, embeddings, and Spring configuration. It falls short of level 5 because helper methods called in the code (extractTextFromResponse, processChunk, extractText) are never defined, and the Spring snippets omit imports and ObjectMapper wiring — minor gaps that break full executability.

Workflow Clarity

The Instructions section gives a coherent, correctly ordered 8-step sequence (credentials → enable model access → dependencies → clients → list → invoke → stream → integrate), but steps are one-line labels without commands, and there are no validation checkpoints (e.g., verifying model access or credentials before invoking) or feedback loops. This matches 'sequence present but checkpoints missing or implicit'; it is not a destructive/batch skill so the level-3 cap is not triggered, but the total absence of checkpoints keeps it below level 4.

Progressive Disclosure

References are clearly signaled ('See the [Model Reference](references/model-reference.md) for: ...') and 11 of 13 bundle files are linked, but the ~57-line Common Model IDs section is inline content that duplicates references/model-reference.md and references/models-lookup.md, the '[examples directory](examples/)' link points to a non-existent directory, and two bundle files (models-lookup.md, advanced-model-patterns.md) are never referenced and thus undiscoverable. This fits 'content that should be separate is inline' better than 'most content is appropriately placed'.

Specificity

The description lists multiple concrete actions — "foundation models (listing, invoking)", "text generation, image generation, embeddings, streaming responses", "integrating generative AI with Spring Boot applications" — in third person, covering the skill's scope comprehensively. It exceeds the level-4 anchor because there are no meaningful coverage gaps relative to what the skill does.

Completeness

It explicitly answers both questions: "Provides Amazon Bedrock patterns using AWS SDK for Java 2.x" (what) and "Use when working with foundation models (listing, invoking), text generation, image generation, embeddings, streaming responses, or integrating generative AI with Spring Boot applications" (when, with concrete enumerated triggers). This matches the level-5 anchor; the 'when' clause is explicit, not merely present as at level 4.

Trigger Term Quality

Good natural keyword coverage: "Amazon Bedrock", "AWS SDK for Java 2.x", "text generation", "embeddings", "streaming responses", "generative AI", "Spring Boot". A few natural terms users would say are missing (e.g., "Claude", "Llama", "Titan", "RAG", "chatbot"), so it does not reach the comprehensive-synonym coverage of level 5, but it is clearly above the level-3 anchor's 'missing common variations'.

Distinctiveness Conflict Risk

The Bedrock-on-Java-SDK niche is clear and mostly distinct from generic AWS or Spring skills, but "integrating generative AI with Spring Boot applications" and the existence of closely related skills (aws-sdk-java-v2-core, Spring skills) create minor overlap risk. It fits 'mostly distinct; minor overlap risk' rather than the minimal-conflict level-5 anchor.