Conciseness

The body is dense and operational with no explanations of concepts Claude already knows, matching anchor 4 ("Efficient; minor instances of over-explanation that could be trimmed") — e.g., "You MUST NOT issue separate CLI calls per database" is stated in both Step 4b and Principles, and the MUST-constraint blocks repeat guidance. Not 5 because of this repetition; not 3 because there is no genuine concept-teaching padding.

Actionability

Fully executable guidance throughout: copy-paste CLI commands ("aws glue search-tables --search-text \"orders\"", "aws s3api list-objects-v2"), concrete SQL against svv_all_tables, and a complete runnable boto3 paginator script taking region and search term arguments — matching anchor 5's "copy-paste ready code or commands; specific examples cover the common cases".

Workflow Clarity

Six clearly sequenced steps with explicit validation upfront ("confirm credentials with aws sts get-caller-identity"), early-stop conditions ("Stop at the first layer that returns a high-confidence match"), a confidence gate with distinct behaviors per level, and an error→cause→fix troubleshooting table including retry with exponential backoff — matching anchor 5's clear sequence with validation and error-recovery feedback loops. The destructive/batch cap does not apply since this is a read-only search skill.

Progressive Disclosure

The workflow stays in SKILL.md while the detailed pattern catalog lives in the verified, real file references/search-strategy.md, which is clearly signaled twice ("See [search-strategy.md](references/search-strategy.md) for patterns" and in Additional Resources) and is one level deep — matching anchor 5's clear overview with well-signaled one-level-deep references.

Specificity

"Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift" names a clear domain with one concrete action verb, matching anchor 3 ("Names domain and 1-2 concrete actions, but not comprehensive"). It does not list several distinct actions like the anchor 4 example, so it stays below 4.

Completeness

The description explicitly answers "what" ("Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift") and "when" ("Triggers on: find the table, where is our data...") with concrete trigger phrases, exactly matching anchor 5. Not 4 because the "when" guidance is fully explicit rather than merely adequate.

Trigger Term Quality

"find the table, where is our data, which table has, locate dataset, find data for, search catalog, what tables match, reverse lookup S3 path" are natural phrases users would say, and synonyms are well covered ("Redshift table, lakehouse table, data lake table, warehouse table"), matching the comprehensive anchor 5.

Distinctiveness Conflict Risk

"Do NOT use for: full catalog audits (use exploring-data-catalog), running queries (use querying-data-lake), creating tables (use creating-data-lake-table)" carves explicit boundaries against sibling skills, giving a clear niche with distinct triggers and minimal conflict risk per anchor 5.