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Claude SEO

agricidaniel/claude-seo

Guide Claude through technical and content SEO checks with actionable recommendations.

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Introduction

Prepared by 今日热榜 from public project documentation

Claude SEO organizes technical, content, structured-data, and AI-search checks into focused skills. The public MIT version needs no community membership. Prepare its Claude runtime and helper tools; optional data services and model calls may cost extra.

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

  • Review technical and content issues
  • Inspect structured data and search presentation
  • Produce prioritized recommendations

Official project & documentation

View source code ↗Project website ↗Setup and usage guide ↗

The project’s original description

Universal SEO skill for Claude Code. 26 sub-skills + 19 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, agent readiness (Lighthouse Agentic Browsing, WebMCP, llms.txt), backlinks, local SEO, e-commerce, international SEO, Google APIs, and PDF/Excel reporting. 9 optional extensions for live SEO data.

Plugins for similar tasks

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

  • Jev SEO — Audit a site from its homepage and export prioritized PDF, spreadsheet, and Markdown reports.
  • Superpowers — Give AI a development workflow for clarifying requirements, planning, coding, and checking results.
  • Matt Pocock Skills — Reproduce a problem and verify its cause before changing code.

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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