stop-slop

Removes predictable AI writing patterns from prose drafts and edits.

Updated Sep 16, 2026
One-click install
npx skills add https://github.com/PT-Perkasa-Pilar-Utama/axentra --skill stop-slop-pt-perkasa-pilar-utama
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stop-slop
Source: https://github.com/PT-Perkasa-Pilar-Utama/axentra/tree/main/.claude/skills/stop-slop
Command: npx skills add https://github.com/PT-Perkasa-Pilar-Utama/axentra --skill stop-slop-pt-perkasa-pilar-utama

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? AI-generated and AI-assisted prose carries recognizable patterns: filler openers, binary contrasts, passive voice, adverb padding, and formulaic structures. This Skill detects and eliminates those tells so text reads as direct, human writing. ## Core Features & Use Cases - Pattern Removal: Cuts throat-clearing openers, emphasis crutches, business jargon, adverbs, and meta-commentary using a curated phrase list. - Structure Rewriting: Breaks binary contrasts, negative listings, dramatic fragmentation, rhetorical setups, false agency, and passive voice. - Quality Scoring: Rates prose on five dimensions (Directness, Rhythm, Trust, Authenticity, Density) with a 35/50 revision threshold. - Use Case: Paste an AI-drafted blog post and receive a revised version with filler phrases removed, actors named in every sentence, varied sentence rhythm, and before/after examples guiding each change. ## Quick Start Review this draft and remove all AI writing patterns, then score it on directness, rhythm, trust, authenticity, and density.

Frequently Asked Questions about stop-slop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I remove AI writing patterns from a draft?▼

Apply the eight core rules: cut filler phrases and adverbs, break formulaic structures, use active voice with named human actors, state specifics instead of vague declaratives, and vary sentence rhythm. Then run the quick checks list before delivering the prose.

What phrases signal AI-generated text?▼

Common tells include throat-clearing openers like "Here's the thing", emphasis crutches like "Let that sink in", jargon like "navigate" and "landscape", and vague declaratives like "The implications are significant". The phrases reference lists each category with replacements.

How is prose quality scored after editing?▼

Prose is rated 1-10 on five dimensions: Directness, Rhythm, Trust, Authenticity, and Density. A total below 35 out of 50 means the text needs another revision pass.

Does this work for business or marketing copy?▼

Yes. The rules target business jargon stacks, performative emphasis, and false agency that appear frequently in marketing and leadership writing. A jargon table maps terms like "lean into" and "game-changer" to plain-language alternatives.

What are the limitations of rule-based prose editing?▼

The rules address surface patterns and structure, not factual accuracy, argument quality, or subject-matter depth. Text can pass all checks and still be wrong or shallow, so content review remains a separate step.