The body is lean — tables, terse bullet steps, and short command blocks — with no padding of concepts Claude already knows; the 'Philosophy' line and Phase B gotchas are domain-specific guidance rather than basics. Not 2 because there is no unnecessary explanation to tighten.

Provides concrete executable AWS CLI commands (`aws sts get-caller-identity`, `aws glue get-connections`, `aws glue create-connection`, `aws glue test-connection`) with appropriate placeholders; per-source JSON detail is correctly deferred to reference files rather than left as pseudocode.

An 8-step sequence with explicit two-phase validation (Phase A TestConnection / Phase B engine-level verification) and a clear feedback loop ('On failure in either phase, Step 8') for database operations — exactly the context the rubric flags as needing feedback loops.

The body is an overview with one-level-deep references to 7 real files under references/, each signaled inline at the relevant step and aggregated in a References section; all referenced paths were verified to exist on disk.

Lists multiple concrete actions — 'Create and troubleshoot', 'Gathers connection hints', 'discovers existing connections', 'registers credentials in Secrets Manager or IAM DB auth', 'configures VPC, and tests' — matching the anchor for listing several specific concrete actions.

Explicitly answers both 'what' (create/troubleshoot Glue connections and the supporting steps) and 'when' via an explicit 'Triggers on' clause, plus a 'Do NOT use for' exclusion section.

The 'Triggers on' clause supplies natural phrases users would say — 'connect to database', 'set up Glue connection', 'register data source', 'connection timeout', 'test connection', 'troubleshoot connection' — giving good coverage.

A clear niche (Glue connections to named source types) with explicit disambiguation against sibling skills — 'Do NOT use for moving data (use ingesting-into-data-lake), creating tables (use creating-data-lake-table)…' — making wrong-skill triggering unlikely.