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Found 8 Skills
This skill should be used when the user wants to remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
Use when drafting or revising human-facing prose such as docs, essays, prompts, UI copy, reports, commit messages, PR text, or polished long-form writing. Combines anti-AI-trope editing with clear and concise style rules for stronger, more natural prose.
Edit prose to sound more natural, direct, and engaging. Works top-down through four levels (Document → Paragraph → Sentence → Word) with human checkpoints at each stage. Fixes LLM patterns, writerly bad habits, and style deficits. Works for academic papers, reports, memos, essays, blog posts, proposals, and other nonfiction. Use when prose sounds robotic, dull, or inaccessible.
Clean and finalize authorized natural-language text intended for readers by auditing suspicious invisible Unicode and rewriting prose while preserving facts and meaning. Use in Cursor when the user asks to clean, humanize, polish, or finalize articles, manuscripts, reports, documentation, emails, product copy, UI text, Markdown, or HTML prose, or when an installed Cursor Rule explicitly requires this workflow. Do not use for code-only tasks or undisclosed authorship evasion; leave code, commands, identifiers, paths, APIs, formulas, citations, required disclosures, and verbatim quotations unchanged.
Use when reviewing or revising an academic manuscript whose central claim, evidence chain, figures, terminology, and prose may have drifted out of sync before submission or resubmission.
Edit and improve articles by restructuring sections, improving clarity, and tightening prose. Use when user wants to edit, revise, or improve an article draft.
De-AI-ifies and tightens academic prose without changing any technical claim. Use when a researcher says "this sounds like ChatGPT / AI-written", "humanize my paper", "remove the AI words", "too many delves and leverages", "polish my writing", "tighten the prose", "fix my hedging", "too many Moreover/Furthermore", "make my contributions active", or "keep my terminology consistent". Runs deterministic stdlib linters — prose_lint.py (leftover chatbot artifacts, LLM-tell vocabulary, connective stacking, em-dash density, double hedges, overclaiming boosters, passive contribution statements) and terminology_check.py (dataset/data set/data-set variants, acronym discipline, -ise/-ize mixing, glossary enforcement) — then drives a section-by-section edit pass using rewrite catalogs and the venue family's register norms. Numbers, results, claims, and citations are never altered; the venue's AI-use disclosure policy is surfaced and respected, never dodged.
Edit prose into a clear, specific, source-grounded version that preserves the author's meaning and voice. Use for humanizing stiff writing, removing generic phrasing, matching a supplied voice sample, diagnosing robotic prose, or drafting from the user's notes. Do not optimize for AI-detector scores or claim to prove authorship.