What problem does it solve? Blog posts often underperform because of hidden quality issues: weak SEO structure, missing E-E-A-T signals, AI-sounding prose, or poor citability for AI search engines. Manually auditing each post against dozens of criteria is slow and inconsistent. This Skill automates the audit, producing a scored report with prioritized fixes. ## Core Features & Use Cases - 100-Point Scoring System: Scores posts across five categories (Content Quality 30, SEO 25, E-E-A-T 15, Technical 15, AI Citation Readiness 15) with a rating from Exceptional to Rewrite. - AI Content Detection: Measures sentence-length burstiness, flags 17 known AI phrases plus em-dash overuse, and computes vocabulary diversity (TTR) to estimate AI probability. - Flexible Inputs & Outputs: Works with local MDX/markdown/HTML files, live URLs, or entire directories in batch mode, exporting reports as markdown, JSON, or compact tables. - Use Case: Point the Skill at a drafts folder before publishing; it returns a sorted batch summary showing which posts need rewrites, which need minor polish, and the single most impactful fix for each. ## Quick Start Analyze the blog post at drafts/my-post.md and give me the full quality report with prioritized recommendations.
