What problem does it solve?
Text drafted or edited by AI assistants often carries recognizable machine-writing patterns ("AI-isms") such as overused vocabulary, formulaic openers, and hollow intensifiers. This Skill audits text for those patterns and rewrites it to read as natural human writing, with a deterministic detector for machine-checkable results.
Core Features & Use Cases
- Detect-only audit: Run the bundled Node.js detector against a file to get a JSON report with an overall score, document classification, and per-issue findings with severity and suggestions.
- Edit-in-place rewriting: Remove flagged patterns directly in files while preserving meaning, verified by a bundled validator that blocks rewrites altering code blocks, frontmatter, URLs, or headings.
- Voice profiles and convergence: Apply casual, professional, technical, warm, or blunt voice profiles, and iterate the audit-revise cycle until a scored result reports zero issues (capped at 2 passes).
- Use Case: A user pastes a LinkedIn draft and asks to "make this sound less like AI"; the Skill flags Tier 1 vocabulary, em-dash overuse, and formulaic openers, then returns a clean rewrite in the requested voice.
Quick Start
Ask the assistant to remove AI patterns from a specific file, for example: "Run remove-ai-patterns on draft.md and rewrite it in a professional voice."