Conciseness

The body is lean and goal-led across seven phases, using executable code and commands without explaining concepts Claude already knows; every section earns its tokens.

Actionability

It provides copy-paste-ready code (SQLAlchemy inspector, type-mapping imports) and concrete CLI commands (wren context init/validate/build, parse-type) plus YAML templates covering the common cases.

Workflow Clarity

A clearly sequenced 7-phase workflow with explicit validation checkpoints (validate -> build -> verify), an error-recovery loop ('If validation fails, fix... and re-run'), a common-errors list, and a 'Things to avoid' section.

Progressive Disclosure

The single SKILL.md is well-organized with clear phase headers, callouts, and a quick-reference table, and the one external link (Cube guide) is one level deep and clearly signaled; no bundle files exist to split further.

Specificity

Names the Wren MDL domain and multiple concrete actions — 'schema discovery, type normalization, and MDL YAML generation' — plus an explicit tooling enumeration, matching the comprehensive-coverage anchor.

Completeness

It explicitly answers both what (generate MDL via discovery/normalization/YAML generation) and when (a concrete 'Use when:' trigger list), matching the anchor for clear and explicit what-and-when coverage.

Trigger Term Quality

The 'Use when' clause lists natural phrases ('create or set up a new MDL', 'onboard a new data source', 'scaffold a project') with good coverage, but lacks common synonym variations or file extensions that would push it to 5.

Distinctiveness Conflict Risk

It occupies a clear niche (Wren MDL) with distinct triggers ('Wren MDL', 'onboard a new data source', 'scaffold a project from an existing database') and minimal overlap risk with other skills.