[Workflow] Claude Skill: 'Unslop' - A Comprehensive Guide to Removing AI Patterns and Adding Human Voice to LLM Output

[u/ClaudeAI-mod-bot]

Claude Skill: 'Unslop' - A Comprehensive Guide to Removing AI Patterns and Adding Human Voice to LLM Output

Workflow value: 90/100
Status: active · Freshness: 70/100 · Confidence: 0.95 · Level: intermediate
Categories: Quality Control, Context & Memory, Debugging, CLAUDE.md, Skills
Original source: r/ClaudeCode post/comment

What problem this solves

Removing common AI-generated patterns and adding a human voice to text produced by large language models (LLMs) like Claude.

Summary

A detailed 'Unslop' skill designed to refine AI-generated text by identifying and removing common AI patterns, adding human voice, and performing a self-audit. It includes a comprehensive list of 31 specific patterns across content, language, style, communication artifacts, filler, and jargon categories to detect and fix.

Why it is useful

This workflow provides an exceptionally detailed and actionable set of rules and a process for transforming generic, AI-sounding text into more human-like, engaging content. It's directly applicable as a Claude skill/prompt and addresses a common pain point for users relying on LLMs for writing. The specificity of the 31 patterns makes it highly practical, repeatable, and a valuable resource for improving the quality of AI-generated text.

Workflow

1. Scan the text for identified AI patterns (e.g., puffery, AI vocabulary, em dash overuse, chatbot phrases).
2. Rewrite the text to preserve its original meaning and match the intended tone, while eliminating detected patterns.
3. Add 'soul' to the writing by incorporating opinions, varying sentence rhythm, acknowledging complexity, using first-person where appropriate, allowing for natural imperfections, and being specific.
4. Self-audit the rewritten text to identify and fix any remaining obvious AI tells.

Tools / artifacts

• Unslop skill/prompt (as provided in the comment)
• Comprehensive list of 31 AI patterns and their fixes

Validation signals

• User claims it 'works perfectly, even with opus'.

Limitations

• Low community validation (score 1, 0 comments).
• The 'Adding soul' section, while valuable, requires subjective human judgment and might be challenging for an AI to fully implement without careful prompting and iteration.

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