voice-critic-method-zh

This Skill identifies meta-narration and config-label leakage in role-playing drafts by scanning text for out-of-frame references and configuration labels improperly placed within the story world, preserving narrative immersion.

Data-person prose is text that reads like raw data rather than immersive literature, often breaking character voice register. This Skill evaluates usage patterns and archetype mishandling to pinpoint where prose loses its realistic narrative quality.

To fix platform-frame leakage in interactive role-playing stories, apply this Skill to scan for references to the platform or game structure within the narrative, then use manual review to correct the out-of-frame text and restore immersion.

Yes, you need Python to run the regex matching for prose correction in this workflow. The Skill uses Python scripts for automated pattern detection, while manual intervention handles nuanced voice register and dimensional analysis decisions.

The best way to perform draft analysis and fix voice register mismatches is using a combined approach of regex pattern matching for automated detection and manual review for nuanced dimensional analysis of archetype handling and voice consistency.