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Jev SEO

agricidaniel/jev-seo

Audit a site from its homepage and export prioritized PDF, spreadsheet, and Markdown reports.

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Introduction

Prepared by 今日热榜 from public project documentation

Jev SEO combines live crawling, rule-based checks, and optional Jev judgments. It runs as a Claude Code skill or a standalone command-line tool. Missing API access produces a partial audit, and its scores do not predict search rankings. Python 3.10+ is required. Full analysis needs your TypeSafe and DataForSEO credentials; model and data API usage may be billed.

Get started

Setup requirements have not been reviewed yet. Check the project’s setup guide.

Setup and usage guide ↗

Based on public documentation; not individually installed and tested here.

Ways to use it

  • Crawl and check technical issues
  • Prioritize fixes by impact and effort
  • Export PDF, Excel, and Markdown

Official project & documentation

View source code ↗Setup and usage guide ↗

The project’s original description

Live SEO audit for any website from one homepage URL, judged by Jev. PDF, XLSX and Markdown reports.

Plugins for similar tasks

Matches the main use case first, then shared tasks and stars. Setup methods may differ.

  • Claude SEO — Guide Claude through technical and content SEO checks with actionable recommendations.
  • Obsidian Skills — Give AI Obsidian guidance for linked notes, properties, canvases, and database-style views.
  • Google Workspace CLI & Skills — Guide AI through spreadsheet, document, and calendar tasks.

GitHub stars indicate interest, not installs or product quality.

今日热榜 © 2026

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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