The body is lean and well-organized with concrete thresholds and no padding; the single opener sentence on DOM impact earns its place as context rather than explaining concepts Claude lacks.

The body gives specific thresholds (1,500 nodes, depth < 32) and named tools, but provides no executable code or commands inline — all code examples are deferred to references/rule.md — leaving the body itself incomplete rather than copy-paste ready.

A sensible Check → Fix sequence exists and the body stresses verifying the bottleneck first, but there is no explicit fix → re-measure → confirm feedback loop for the remediation steps, which a performance-fix workflow benefits from.

The body is a concise overview with clear sections and one clearly-signaled, one-level-deep reference to references/rule.md (a real file verified to exist) for implementation details, matching the simple-skill allowance for a score of 3.

Names the domain ('slow page loads, heavy assets, or rendering delays') and two concrete actions (auditing, verifying the bottleneck via named tools), but does not enumerate the multiple distinct fix capabilities (virtualization, structure simplification) the skill actually covers, so it is not comprehensive.

An explicit 'Use when...' clause answers when, and 'auditing...related to Reduce DOM size and complexity' plus 'Verify the actual bottleneck' answers what, satisfying both halves with explicit triggers.

Triggers like 'slow page loads', 'heavy assets', and 'rendering delays' are exactly the natural terms a user would say when they need this skill, with good coverage of common phrasings.

Anchored to a specific named rule with tool-specific triggers (DevTools, Lighthouse, field data), giving it a clear niche that is unlikely to fire for unrelated skills.