Prose Style Analysis
Analyzes project prose to create modular style reference files that help AI agents replicate specific authorial voices.
The Style Analysis skill provides a structured framework for decomposing literary prose into its core stylistic dimensions, such as sentence rhythm, interiority, and dialogue patterns. It guides users in creating modular reference files that optimize context selection for AI writing and critic agents, ensuring consistent tone across complex projects. By distinguishing between intentional stylistic patterns and unconscious linguistic tics, this skill enables developers and writers to build high-fidelity style guides that facilitate natural, human-like AI content generation and rigorous manuscript evaluation.
Key Features
01Multidimensional style decomposition across rhythm, vocabulary, and interiority
02Principle-based reference format using representative examples and citations
03Standardized quality tests to ensure voice authenticity and brevity
04Context-aware file splitting logic for optimized AI prompt management
05245 GitHub stars
06Identification framework to separate intentional patterns from stylistic tics
Use Cases
01Developing a comprehensive style guide for a novel or collaborative fiction project
02Auditing manuscripts for stylistic inconsistencies and repetitive linguistic tics
03Training AI writing agents to adopt a specific character's narrative voice