Conciseness

The body is largely efficient: compact PROBLEM/SOLUTION code pairs and impact tables assume Claude's competence without teaching Django basics. However, there is noticeable duplication — the 'Validation Requirements' section largely restates the per-category checklists, and the closing sanity-check questions repeat the 'What NOT to Report' list — keeping it at anchor 4 ('minor instances of over-explanation that could be trimmed') rather than the lean anchor 5.

Actionability

Most rules ship executable, copy-paste PROBLEM/SOLUTION code (select_related, annotate/Count, bulk_create, bulk_update, db_index, Meta.indexes) and a concrete output-format template. A few sections are incomplete — the model-property rule's fix is a one-line hint ('Use Prefetch with custom queryset, or annotate') with no code, and the ORDER BY example references code without a runnable fix — matching anchor 4 ('concrete code with minor gaps') rather than anchor 5's fully copy-paste-ready coverage.

Workflow Clarity

The multi-step review workflow is clearly sequenced with explicit validation checkpoints: a 4-step Review Approach, per-category validation checklists, 5 numbered Validation Requirements, and a feedback loop in the output format ('If the answer to any is no - remove the finding') plus a pre-submission sanity check. This matches anchor 5's 'clear sequence with explicit validation steps; feedback loops; checklists for complex processes'.

Progressive Disclosure

There are no bundle files at all; the ~400-line body inlines detailed per-category pattern catalogs (N+1 rules, index rules, write-loop rules) that are natural candidates for one-level-deep reference files, with only internal headers for navigation. This matches anchor 3 ('content that should be separate is inline') — better than anchor 2's structureless dump thanks to the priority table and clean sections, but short of anchor 4's appropriate content split.

Specificity

The description names a specific domain ("Django performance code review") but states essentially one composite action — "audit Django code for performance problems" restates the same thing rather than enumerating distinct capabilities (e.g., finding N+1 queries, flagging unbounded querysets, checking indexes are only present as trigger terms, not capability claims). This matches anchor 3 ("Names domain and 1-2 concrete actions, but not comprehensive") and falls short of anchor 4, which expects several specific listed actions.

Completeness

It clearly answers 'what' ("Django performance code review") and explicitly answers 'when' with concrete trigger phrases ("Use when asked to 'review Django performance', 'find N+1 queries'..."). Anchor 5's pattern of a clear what plus explicit when-with-concrete-triggers is met; anchor 4's deficiency ('when' could be more explicit) does not apply.

Trigger Term Quality

The "Use when" clause provides comprehensive natural user phrasing with synonyms: "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance", "database performance", "Django ORM issues" — exactly the variations a user would naturally say. This matches anchor 5's comprehensive synonym coverage.

Distinctiveness Conflict Risk

The Django performance niche is clear and most triggers ("Django ORM issues", "find N+1 queries", "optimize Django") are distinct, but the bare trigger "database performance" is generic and could also fire for non-Django database-performance skills — minor overlap risk with a closely related skill, matching anchor 4 rather than anchor 5's 'minimal conflict risk'.