A scoring engine that grades blog posts on a 100-point scale across five categories: content quality, SEO, E-E-A-T signals, technical elements, and AI citation readiness. It also runs AI content detection by measuring sentence burstiness, flagging common LLM phrases, and checking vocabulary diversity. Works with local files, URLs, or entire directories for batch analysis. The scoring rubrics are detailed and opinionated, down to specific Flesch reading levels and transition word percentages. You get prioritized recommendations tagged by severity and can export as JSON, markdown, or tables. If you publish content at scale and need systematic quality gates, this gives you a repeatable audit framework instead of gut-feel edits.
npx -y skills add agricidaniel/claude-blog --skill blog-analyze --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
supercent-io/skills-template
supercent-io/skills-template
huangjia2019/claude-code-engineering
reactjs/react.dev
reactjs/react.dev