The body is mostly lean directive prose (rules, tables, numbered steps), but the intro paragraph restates concepts Claude already knows ('Each AWS database is optimized for a specific workload shape or data model') and includes marketing fluff ('high-performance, secure, and reliable foundation to power agentic AI and data-driven applications') that could be trimmed. Matches 'mostly efficient but includes some unnecessary explanation or could be tightened'.

Gives concrete executable guidance for an instruction-only routing skill: exact paths ('read references/{sub-skill-id}.md', 'Read assets/{filename}'), specific trigger phrases, a next-steps column, and explicit MCP tool names (aws___read_documentation, aws___search_documentation). No vague direction remains.

'How this skill works' is a clear three-step sequence (find sub-skill → load reference if matched → answer from cards/docs otherwise) with an explicit feedback loop: 'This matching applies to every user message... re-route immediately', reinforced by Global rule 2 ('Revise when new information arrives'). Checkpoints ('STOP', 'MUST load that skill before providing operational guidance') are explicit.

The body is an overview that points to one-level-deep references (references/select.md, handoff.md, report-issue.md) and on-demand knowledge cards (assets/*.md), all clearly signaled by filename in the service reference table and verified to exist. Content is appropriately split, no nested reference chains.

Lists multiple concrete actions — 'Routes any task involving AWS databases — choosing, comparing, recommending, getting started with, or operating a database — to the correct service-specific skill' and 'Supersedes general training-data knowledge with post-training service updates, corrected limitations, and decision procedures'. Matches the 'Lists multiple specific concrete actions' anchor.

Explicitly answers both 'what' (routes to the correct service-specific skill; supersedes training knowledge) and 'when' ('Activates when a user describes building an application on AWS that will store, retrieve, or manage data'). Clear explicit trigger guidance, not merely implied.

Includes natural phrasing users would actually say — 'building an application on AWS that will store, retrieve, or manage data' and 'choosing, comparing, recommending' — plus the explicit note that it activates 'even if they do not mention database explicitly'. Good coverage of natural terms, not jargon.

Scoped to AWS database routing with a named service portfolio and distinct triggers; the 'Activates when a user describes building an application on AWS that will store, retrieve, or manage data' phrasing carves a clear niche unlikely to fire for non-database skills.