The body is lean and almost entirely executable code plus one-line design heuristics, with no padded explanation of AWS concepts or how SDKs work; it assumes Claude's competence.

Code blocks use real SDK imports and CDK constructs with complete, copy-paste-ready params, and the design notes give specific applicable guidance (e.g. ARM64 for cost, GSIs for alternate queries).

Content is organized into discrete patterns with an anti-patterns list and a checklist, but there is no explicit multi-step sequence with validation checkpoints or feedback loops, leaving checkpoints implicit.

No bundle files exist and the body makes no file references; the single SKILL.md is well-organized under clear headers, which satisfies progressive disclosure for a skill with no need for external references.

Names a concrete AWS domain and enumerates specific services (Lambda, ECS, S3, DynamoDB) and IaC tools (CDK/Terraform), but describes areas rather than concrete actions, so it falls short of the 'multiple specific concrete actions' anchor.

It answers 'what' (AWS cloud patterns for a list of services) but has no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 2 per the judging guidelines.

Natural service and tool names a user would actually say (Lambda, ECS, S3, DynamoDB, CDK, Terraform) give good coverage of likely trigger terms.

The AWS-specific service enumeration carves a clear niche with distinct triggers, making it unlikely to fire for unrelated skills.