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📊 公开数据一览

📦 榜单安装量3.7K
⭐ GitHub Stars13,426(fork 1956)
🗓️ 最近推送2026-07-27
🌱 项目创建2026-02-07
💻 语言 / LicensePython · MIT
🐛 开放Issue28

📝 工具简介

面向Claude Code的通用SEO技能,含25个子技能和18个子agent,覆盖技术SEO、E-E-A-T、schema、GEO/AEO、外链、本地SEO等,可选DataForSEO、Firecrawl和Banana扩展。

📖 怎么用

安装分两步:先装插件,在 Claude Code 里跑 `/plugin marketplace add AgriciDaniel/claude-seo` 和 `/plugin install claude-seo@agricidaniel-claude-seo`;或者用 git 克隆,Mac/Linux 跑 `git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git` 然后 `bash claude-seo/install.sh`,Windows 用 PowerShell 跑 `powershell -ExecutionPolicy Bypass -File claude-seo\install.ps1`。装完先跑 `/seo setup` 初始化。开始用就启动 `claude`,想整站审计输入 `/seo audit https://example.com`,想单页深度分析输入 `/seo page https://` 加网址。

📋 迷你测评

面向Claude Code的通用SEO技能,含25个子技能和18个子agent。亮点是体系完整,覆盖技术SEO、外链等。可选DataForSEO等扩展,功能模块多。

📄 README 要点

这是给Claude Code用的开源SEO分析插件,叫Claude SEO。它一口气并行跑25个子技能和18个专家代理,覆盖技术SEO、内容质量(E-E-A-T)、Schema.org标记、AI搜索优化(GEO)、本地SEO、电商和国际SEO。每次审计都会产出一份带优先级的行动计划,每条建议都可测试,而且依据都来自Google官方指南。它特别强调“AI搜索优先”,跟Google的AI优化指南对齐,用基于问题的可引用性评分。有两个版本:公开版在GitHub上MIT协议免费下载,稳定;还有个社区私有镜像版能提前用新功能,但要会员。适合想系统做SEO审计、跟上AI搜索趋势的人。

查看英文原文
Claude SEO: SEO Skill for Claude Code Claude SEO is an open source SEO analysis plugin for Claude Code. It runs 25 sub skills and 18 specialist agents in parallel across technical SEO, content quality (E E A T), Schema.org markup, AI search optimization (GEO), local SEO, e commerce, and international SEO. Every audit produces a prioritized action plan with testable recommendations grounded in primary source guidance from Google. Two versions of this skill. 🌐 Public open source → AgriciDaniel/claude seo : MIT, public releases, no membership. Use this if you want stable + downloadable. 🔒 Community private mirror → AI Marketing Hub/claude seo : early access to upcoming features and direct collaboration with the AI Marketing Hub Pro community. Requires membership. Why Claude SEO AI search first. Aligned with Google's AI Optimization Guide. Question based citability scoring, primary source evidence on llms.txt, IPTC TrainedAlgorithmicMedia for AI generated product images, agent friendly page checks per web.dev. Parallel execution. Full site audits spawn up to 15 specialist agents simultaneously. Site level audits complete in minutes rather than hours. Falsifiable, not promotional. Every recommendation carries the first principle observation it rests on, its dependency relationships, an explicit "how would we know this failed?" check, and a leading indicator. See Methodology. Real results Google Search Console for a site started 23 March 2026 and run on this workflow: total clicks and impressions across its first three months, through 12 June 2026. Using Codex instead of Claude Code? Use Codex SEO, the Codex first port with TOML agents, plugin packaging, deterministic runners, and the same SEO workflow surface. Who this is for SEO agencies running 5+ client sites. Replace quarterly deep audits with weekly automated runs. Same team capacity, 4× audit cadence, every recommendation comes with a falsifiability check the client can verify. In house SEO leads at SaaS / publishe

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数据来源:skills.sh 榜单 + GitHub 公开数据,非人工实测,仅供参考