no-ai-slop: Skill removes repetitive AI writing patterns

X postMeng ToTool

Meng To shares a workflow to counter generic AI writing, highlighting Peter Yang's open-source repository 'no-ai-slop', which strips more than 20 repetitive LLM clichés and robotic phrases from text.

Key points

  1. Meng To combines two skills: one to strip robotic phrasing and faux insights, and his own skill that analyses past writing to provide five style-matched variants.
  2. Peter Yang's open-source tool 'no-ai-slop' targets over 20 specific LLM patterns, including binary contrasts, throat-clearing openers, and faux-profound endings.
  3. The skill can be integrated into ChatGPT, Claude Code, Codex, or installed via npx.
  4. It features commands to clean text (/no-ai-slop), detect slop patterns without guessing authorship, and generate satirical slop posts.
  5. Yang advocates responsible use: writing first drafts manually, using AI strictly for iterative edits, and doing a final manual review.

Why it matters

Default LLM output frequently flattens voice and relies on repetitive tropes like 'It's not X. It's Y.' Dedicated filtering skills enable writers and developers to clean edited text while keeping their original tone and cadence intact.

Analysis

Meng To highlights a practical pairing for content creators relying on AI assistance: combining style fine-tuning based on previous human samples with strict pattern exclusion via Yang's 'no-ai-slop'. This approach provides a concrete method to maintain distinct personal voice in automated or AI-assisted writing workflows.

Original post

Meng To

@MengTo · 28 July 2026

AI is terrible at writing in your voice by default. I pair these two skills together. One removes the fake insights and robotic phrasing. Mine studies my past writing and gives me five different versions that still sound like me. No AI slop: t.co/jYUAvsXTUr Write like t.co/PGRxUJIlxG

809 likes17 replies1.8k bookmarks126.6k views

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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