Conciseness

Prose is lean, but the ~735-line body includes substantial boilerplate Claude already knows — the full default INSTALLED_APPS/MIDDLEWARE stacks, a stock AbstractUser subclass, and textbook select_related/prefetch_related examples — so 'mostly efficient but includes some unnecessary explanation or could be tightened' fits. Not 4 because the redundant standard-settings and default-middleware code is more than a minor trim, and not 2 because there is little padded prose or concept explanation.

Actionability

Most patterns are concrete, copy-paste-ready code (custom QuerySet chaining, serializer validation, ViewSet actions, low-level cache get/set). It misses 5 because several snippets are not executable as written: undefined `env()`, `slugify`, `timezone`, `logger`, `Count`, `Cart`/`PaymentGateway`, and `# ... fields ...` placeholders — 'concrete code or commands with minor gaps'.

Workflow Clarity

This is a pattern catalog with clear topical sections but no sequenced workflow and no validation checkpoints — after model changes nothing says to run `manage.py makemigrations --check`/`check`, and the bulk-operations section (bulk_create/bulk_update/bulk delete) includes no verification step, which caps workflow clarity at 3 per the batch-operations guideline. Not 2 because each pattern is internally coherent and clearly scoped; not 4 because checkpoints are absent entirely, not just minor.

Progressive Disclosure

Section headers, a Quick Reference table, and code comments make the file navigable, but everything lives in one ~735-line SKILL.md with no bundle files — the DRF serializer/ViewSet patterns, caching strategies, and signals/middleware sections are each substantial enough to be separate reference files, i.e. 'content that should be separate is inline'. Not 4 because at this size the split isn't a minor organization gap; not 2 because the internal structure is far from the header-less inline dump of the 2-anchor example.

Specificity

The description names the domain and several concrete capability areas — 'REST API design with DRF, ORM best practices, caching, signals, middleware' — giving specific, actionable coverage. It falls short of the 5 anchor because the items are topic names rather than concrete actions (e.g. 'ORM best practices' rather than 'optimize N+1 queries'), a pattern the 5-anchor examples ('Extract text and tables... fill forms, merge documents') follow with explicit verbs.

Completeness

It explicitly answers both questions: a clear 'what' ('Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps') and a concrete trigger clause ('Use when building or reviewing Django apps, DRF APIs, ORM queries, or caching'), matching the 5 anchor's structure exactly. Not 4 because the 'when' is as explicit and specific as the anchor example, not merely adequate.

Trigger Term Quality

'building or reviewing Django apps, DRF APIs, ORM queries, or caching' covers the natural phrases a user would say. It misses the 5 anchor because there are no synonyms or variations beyond the core terms (e.g. 'Python web app', 'Django REST Framework' spelled out alongside DRF appears only in the what-clause, not the trigger clause).

Distinctiveness Conflict Risk

Django/DRF/ORM is a clear, well-defined niche with distinct technical triggers; a user needing this skill would say these exact words, and it would not fire for non-Django work. Minimal conflict risk with other framework or language skills.