blog-voice-analyzer

Analyze blog content for AI-sounding patterns and provide rewrite suggestions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Abhi5415/clarido-marketing --skill blog-voice-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: blog-voice-analyzer
Source: https://github.com/Abhi5415/clarido-marketing/tree/main/.claude/skills/blog-voice-analyzer
Command: npx skills add https://github.com/Abhi5415/clarido-marketing --skill blog-voice-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires spacy, textstat, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps content creators identify and eliminate AI-sounding patterns in their blog posts, ensuring content is perceived as more human and engaging.

Core Features & Use Cases

  • AI Pattern Detection: Analyzes text for 18 specific linguistic and structural markers common in AI-generated content.
  • Actionable Rewrite Suggestions: Provides detailed diagnostics and prioritized recommendations for improving writing.
  • Use Case: Before publishing a blog article, run it through the analyzer to ensure it passes the "human test" and avoids sounding robotic, leading to better reader engagement and SEO.

Quick Start

Run the AI Voice Analyzer on your blog article by providing its file path.

Frequently Asked Questions about blog-voice-analyzer

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

FAQPage Schema
How do I detect AI-sounding patterns in my blog content?

You can detect AI-sounding patterns by analyzing text for 18 specific linguistic and structural markers. The analysis scores content across structural, vocabulary, voice, and micro-pattern dimensions to provide actionable rewrite suggestions.

What makes blog writing sound robotic or AI-generated?

Blog writing sounds robotic due to specific linguistic and structural markers. NLP techniques evaluate vocabulary, voice, and micro-pattern dimensions to score content and pinpoint where text loses human-like quality.

How do I check the readability and SEO of a markdown article before publishing?

You can check readability by running a markdown file through a text analysis script. It uses NLP to score structural and vocabulary dimensions, ensuring content passes a human test for better engagement and SEO.

Do I need spacy and textstat to analyze content for human-like quality?

Yes, spacy and textstat are required dependencies. They provide the NLP capabilities and readability scoring needed to evaluate text across structural, vocabulary, voice, and micro-pattern dimensions for AI pattern detection.

Can I run ai detection scripts on text files using Bash?

Yes, you can execute analysis scripts via Bash using pipenv for deterministic operations. This allows you to process markdown or text files directly from the command line to identify AI-sounding patterns.

What is the best way to improve readability scores for blog posts?

The best way to improve readability is to apply actionable rewrite suggestions based on detailed diagnostics. Addressing prioritized linguistic and structural markers effectively eliminates robotic patterns and enhances human-like quality.