Conciseness

The body is dense with task-critical operational detail and rarely explains concepts Claude already knows, but the retired-Provisioned mapping table (~12 lines), the region-availability paragraph, and the SDK version table are trimmable legacy or time-sensitive material, matching anchor 4's 'efficient; minor instances that could be trimmed' rather than anchor 5's every-token-earns-its-place.

Actionability

Guidance is fully executable throughout: exact CLI commands with --json payloads ("databricks postgres create-project <PROJECT_ID> --json ..."), a JSON-path table for extracting connection values, a copy-paste scriptable bash block with python3 one-liners, concrete SQL grant snippets, and an error-to-solution troubleshooting table covering the common failure cases, matching anchor 5.

Workflow Clarity

Multi-step workflows are clearly sequenced with explicit validation and feedback loops: verification commands after project creation ("After creation, verify: list-branches / list-endpoints / list-databases"), a numbered deploy-first workflow flagged as the #1 error source, destructive operations gated by explicit user permission ("Do not delete without explicit user permission", "Do NOT drop the schema without asking the user"), and a recovery path with export-first options for the local-first failure case, matching anchor 5.

Progressive Disclosure

The body is a well-signaled overview with six one-line-annotated reference links that all resolve to real files in references/, and bulk detail (sizing, connectivity patterns, synced tables) is appropriately deferred. It falls short of anchor 5 because medallion-from-cdc.md is only reachable via a two-level chain (SKILL.md → lakehouse-sync.md/synced-tables.md → medallion-from-cdc.md) and long inline sections like the 20-row troubleshooting table and schema-permissions workflow could arguably live in references.

Specificity

The description lists several specific capability areas — "projects, scaling, connectivity, Lakebase synced tables, and Data API" — which is more than the 1-2 items at anchor 3, but they are topical nouns rather than concrete actions and headline features like branching and high availability are missing, so it falls short of anchor 5's comprehensive coverage.

Completeness

It explicitly answers both parts: what it does ("projects, scaling, connectivity, Lakebase synced tables, and Data API") and when to use it via a concrete trigger clause ("Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks"), matching anchor 5. It is above anchor 4 because the 'when' is explicit and specific, not merely present.

Trigger Term Quality

"Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks" covers the natural phrases a user would say, but common variations like "serverless Postgres", "Postgres database", or "branching" are absent, matching anchor 4's 'good keyword coverage; a few natural terms missing' rather than anchor 5's comprehensive synonym coverage.

Distinctiveness Conflict Risk

"Databricks Lakebase Postgres" names a distinct niche product with product-specific triggers, but "connecting apps to Postgres on Databricks" overlaps the closely related databricks-apps skill domain, fitting anchor 4's 'mostly distinct; minor overlap risk with closely related skills' rather than anchor 5's minimal conflict risk.