style-guard

Detect AI artifacts in academic writing by reviewing punctuation, structure, hedging, and transition patterns. This Skill applies a structured frontmatter-driven evaluation to identify vocabulary and register tells, ensuring manuscripts sound human and original.

Enforce a style guide for academic manuscripts by adopting a ready-to-use template for literature and style-guide enforcement. This ensures voice, tone, and jargon consistency across drafts, theses, and course materials while checking for AI-style tells.

You can use this AI detection process for grant proposals and teaching materials. The evaluation scope covers drafts, manuscripts, and course materials across disciplines, auditing diction, structure, and transition use to maintain originality.

Paraphrase AI-generated drafts to sound human by identifying vocabulary and register tells through a structured review. This Skill evaluates diction, structure, and transition use, guiding the production of a human-authored rewrite that avoids AI artifacts.

Common AI writing tells include punctuation, structural, transition, hedging, vocabulary, and register patterns. You check for them by applying a structured frontmatter-driven review to evaluate your text against a comprehensive pattern catalog.

This writing review requires no external dependencies or components. It operates as a safe, self-contained evaluation workflow that uses a structured frontmatter-driven review and an optional resources directory to audit originality.