Conciseness

The body is mostly operational and avoids explaining concepts Claude already knows, but Step 2 spends ~90 lines on experimental Glue Discovery API details (operation tables, JSON casing conventions, flag names) that could be tightened or moved out, and the layered-search guidance duplicates material in references/search-strategy.md. Fits the 3-anchor 'mostly efficient but includes some unnecessary explanation or could be tightened' rather than the 4-anchor, where over-explanation would be only minor.

Actionability

Mostly executable: concrete CLI commands ('aws glue search-tables --search-text "orders"', 'aws glue get-asset --identifier <ARN>'), a complete runnable boto3 paginator script, output templates, and a troubleshooting table. Falls short of the 5-anchor because Layer 3 provides a SQL query with no command for executing it against Redshift (e.g., an aws redshift-data invocation), and the MCP path names a tool ('aws___call_aws') without a usage example.

Workflow Clarity

Steps 1-7 are clearly sequenced with early-stop conditions, a confidence gate, an availability precheck with exit-code interpretation, and a troubleshooting table for error recovery. Below the 5-anchor because recovery from mid-workflow failures is handled in a table rather than as inline feedback loops, and a couple of checkpoints (e.g., how to actually run the Redshift query) are implicit.

Progressive Disclosure

There is exactly one one-level-deep reference (references/search-strategy.md), signaled twice with clear link text, but the 17KB body inlines large chunks that belong in reference files — notably Step 2's full operation reference table and CLI schema conventions, plus S3 Tables hierarchy detail that duplicates the reference file. Matches the 3-anchor 'content that should be separate is inline' more than the 4-anchor, where placement gaps would be minor.

Specificity

The description gives one concrete action — 'Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift' — with a clearly named domain, but does not enumerate multiple distinct actions the way the 5-anchor does (compare 'Extract text and tables, fill forms, merge documents'). It sits above the 2-anchor ('names the domain but actions minimal') because resolving references plus implied reverse lookup is concrete, but below the 4-anchor because only one primary action is stated.

Completeness

Both questions are answered explicitly: 'what' via 'Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift' and 'when' via the concrete 'Triggers on:' phrase list, plus explicit 'Do NOT use for' exclusions. This matches the 5-anchor's pattern of concrete what + explicit when with trigger phrases; the 4-anchor's 'when could be more specific' does not apply.

Trigger Term Quality

'Triggers on: find the table, where is our data, which table has, locate dataset, find data for, search catalog, what tables match, Redshift table, lakehouse table, data lake table, warehouse table, reverse lookup S3 path' provides comprehensive natural-phrase coverage including synonyms (lakehouse/data lake/warehouse) that users would actually say. Not below the 4-anchor since no commonly used variant is obviously missing.

Distinctiveness Conflict Risk

The 'Do NOT use for: full catalog audits (use exploring-data-catalog), running queries (use querying-data-lake), creating tables (use creating-data-lake-table)' clause actively deconflicts against sibling skills, and the resolver niche is clear. Minimal conflict risk; matches the 5-anchor's 'clear niche with distinct triggers'.