Remove AI writing patterns and formatting artifacts from English and Russian text files.
npx skills add https://github.com/Arcanada-one/datarim --skill humanize-arcanada-one
Please help me install this Agent Skill. Skill: humanize Source: https://github.com/Arcanada-one/datarim/tree/main/skills/humanize Command: npx skills add https://github.com/Arcanada-one/datarim --skill humanize-arcanada-one
It cleans writing that feels AI-generated by removing common AI patterns, phrasing, formatting artifacts, and overly uniform structure while keeping the author’s intent and meaning intact.
Use it for articles, posts, documentation, and drafts that must not look AI-generated—especially when the text is in English, Russian, or mixed.
Run the humanize skill on your draft by providing the path to the source file (for example, humanize the text in article.md).
High-intent search queries and answers about installing and using this skill.
To remove AI fingerprints from text, run a staged cleanup pass that eliminates AI vocabulary, formatting artifacts, and structural tells while preserving the author's original meaning and factual content. This process ensures drafts no longer look AI-generated.
Common AI writing patterns include banned vocabulary, em-dash abuse, curly quotes, excessive bold, markdown bleeding, formulaic signposting, and mechanical paragraph rhythm. Fixing these formatting artifacts involves structural revision to reduce list inflation and uniform presentation.
You can humanize AI text in Russian or mixed English and Russian drafts by applying anti-AI pattern cleanup to both languages simultaneously. The process removes language-specific AI tendencies and formatting artifacts while maintaining the original voice across articles, posts, and documentation.
AI text editing does not change factual content or rewrite the substance of your draft. The cleanup process performs structural and rhythm edits to reduce formulaic signposting and list inflation while strictly preserving the author's intent and meaning.
To trace which AI patterns were edited in your text file, generate a scan report that flags specific instances of banned vocabulary, formatting artifacts, and structural tells. This report-first transparency ensures all edits are traceable before staged cleanup changes are applied.
The best way to clean markdown formatting issues like em-dash abuse and curly quotes is to run a format cleanup pass on the source text file. This removes presentation artifacts, excessive bold, and markdown bleeding while producing a timestamped backup and working draft.
miolamioTranslate English technical and marketing texts into idiomatic Russian.
00PZDetect AI-generated text in drafts using banned phrase and structural pattern flags.
Bishwas-pyScan Webmatrices posts, comments, and profiles for AI tells and credibility issues.
lawless-mRun Qwen LLM inference locally via Ollama HTTP API for text tasks.
