Lists multiple specific concrete actions: 'Detects and fixes LLM-generated writing patterns' with specific examples of what it targets: 'staccato rhythm, AI vocabulary, hollow structure'.

Clearly answers both what ('Detects and fixes LLM-generated writing patterns') and when ('Use when reviewing longform text') with an explicit trigger clause.

Includes some relevant terms like 'LLM-generated', 'writing patterns', and 'longform text', but misses common user phrases like 'AI writing', 'sounds like ChatGPT', 'robotic', 'make it sound human', or 'AI detector'.

Has a clear niche focused specifically on detecting and fixing AI-generated writing patterns, which is distinct from general writing or editing skills. The specific focus on 'LLM-generated' patterns creates a unique trigger space.

The skill is reasonably efficient but includes some redundancy in the pattern list (e.g., multiple similar examples for contrasting language, staccato sentences). Some consolidation would tighten it without losing clarity.

Provides a clear list of patterns to detect and a review process, but lacks concrete before/after examples showing how to fix each pattern. The guidance is descriptive rather than demonstrating specific transformations.

The 5-step review process is clearly sequenced with appropriate checkpoints: read first, identify patterns, draft revisions, verify meaning preserved, then present to user with explanation. Includes validation step (re-read to confirm core message) and user confirmation for material changes.

For a skill of this size (~50 lines), the structure is appropriate. Content is organized into a pattern detection list followed by a clear process section. No need for external file references given the scope.