The content is lean and efficient. It doesn't explain what AI writing tropes are in abstract terms — it jumps straight to actionable categories and specific examples. Every section earns its place, and the 'Key offenders' lists provide concrete examples without over-explaining why they're problematic (Claude already knows).

The skill provides concrete examples of what to avoid (specific words, patterns, structures) and a useful self-check checklist, but it lacks concrete examples of rewrites — showing a 'before' trope-laden passage and an 'after' corrected version would make it fully actionable. The guidance is 'rewrite that passage' without demonstrating how.

The 4-step workflow (draft → check → rewrite → re-read for density) is clear and appropriately simple for this task. However, there's no explicit validation or feedback loop — for instance, no guidance on what to do if pattern density is still too high after one pass, or how to judge when the piece is 'clean enough.' The self-check list partially compensates but isn't integrated into the workflow steps.

The structure is well-organized with clear references to six separate detail files (references/word-choice.md, etc.), which is excellent progressive disclosure design. However, no bundle files were provided, so the referenced files don't actually exist in the evaluated bundle, meaning the references are broken pointers. The inline 'Key offenders' summaries partially mitigate this by giving enough to act on without the referenced files.

It names the domain (AI writing tropes in prose) and describes actions (detect, eliminate), but doesn't list specific concrete actions or examples of what tropes are targeted or what the skill actually does beyond 'detect and eliminate.'

Clearly answers both what ('Detect and eliminate common AI writing tropes from prose') and when ('Use when drafting, editing, or reviewing text to avoid the predictable patterns that mark AI-generated writing') with an explicit 'Use when' clause.

Includes some relevant terms like 'AI writing tropes', 'drafting', 'editing', 'reviewing text', and 'AI-generated writing', but misses common natural variations users might say such as 'sounds like AI', 'robotic writing', 'clichés', 'make it sound more human', 'natural tone', etc.

This has a clear, specific niche — AI writing trope detection and elimination — that is unlikely to conflict with general editing, proofreading, or style guide skills. The focus on AI-specific patterns makes it distinctly identifiable.