Conciseness

The body is dense and mostly lean — Critical Facts gives exact commands and error strings with no concept explanations — but the provisioned/Serverless determination is stated twice (STEP 0 and repeated nearly verbatim under the Routing Table), and the storage routing cell embeds long parenthetical user-phrasing quotes that could be tightened. Efficient with minor trim opportunities, matching anchor 4 rather than anchor 5's 'every token earns its place'.

Actionability

Concrete throughout: exact tool names ('execute_query', 'retrieve_skill_file', 'list_*'), executable fragments ('DATEADD(day, -30, GETDATE())', 'SHOW VIEW <schema.name>', "ENCRYPTED KMS_KEY_ID '<arn>'"), and exact error strings ('SUBSTR() function is not supported'). Some guidance stays high-level with execution deferred to references ('keep a bounded loop', 'trend from CloudWatch over months'), leaving minor gaps versus the fully copy-paste-ready anchor 5.

Workflow Clarity

Clear sequence (STEP 0 establish target type → routing table → MANDATORY load-before-answer → answer) with explicit validation for destructive operations ('WARN then confirm: RESIZE, RESTORE, VACUUM on large tables ... TRUNCATE forces an implicit COMMIT ... name the target table and say the rows are unrecoverable') and feedback loops routing error strings ('relation does not exist', 'permission denied') to diagnostic flows. The destructive/batch validation cap does not apply because those checkpoints are present.

Progressive Disclosure

SKILL.md is a genuine overview/router: all 12 cited 'references/*.md' paths verified to exist, references are one level deep (only sibling cross-links between the storage pair; the syntax file is a clearly labeled index while the routing table routes most SQL questions directly to the target file), and every load is well signaled ('→ Load references/...'). Matches the clear-overview, well-signaled one-level-deep anchor.

Specificity

Names concrete capabilities ('corrects LLM mistakes; covers SQL, metadata, connectivity/auth, storage, query performance, and operations') plus a specific pushback list ('CREATE INDEX, string_agg, pg_catalog, text type, SERIAL, stl_query') — comprehensive, concrete coverage in third person. Anchor 4 ('several specific actions; minor gaps') fits worse because both the capability areas and the exact divergences corrected are enumerated.

Completeness

Explicitly answers both 'what' ('corrects LLM mistakes; covers ... operations') and 'when' ('Triggers on:' followed by a concrete trigger list), plus negative scope ('Does NOT apply to: S3 policies, Athena, ...'). Clearly the anchor-5 example pattern; not anchor 4, where the 'when' is only partially explicit.

Trigger Term Quality

Triggers are natural user phrasings with synonyms and variants: 'slow or suddenly slow Redshift query', 'Redshift disk full', 'ghost rows/bloat', 'spill to disk', 'connection failures (SSL/TLS, ODBC/JDBC, connection limit)', 'snapshot/backup cost'. This matches the comprehensive-with-synonyms anchor; nothing common is missing.

Distinctiveness Conflict Risk

'Applies ONLY to Redshift (provisioned or Serverless)' plus an explicit exclusion list ('S3 policies, Athena, Glue/Iceberg outside Redshift, Aurora, RDS, DynamoDB') gives a clear niche with minimal conflict risk. Neighboring anchor 4 ('minor overlap risk') is weaker because the exclusions proactively remove the overlap candidates.