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Agent Skill · 研究检索

seo-geo-optimizer(SEO GEO 优化器)

seo-geo-optimizer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

seo-geo-optimizer 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 43,020。

总安装 1,022周安装 43GitHub Stars 28下载 358核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:seo-geo-optimizer(SEO GEO 优化器)
来源仓库:https://github.com/199-biotechnologies/claude-skill-seo-geo-optimizer
仓库路径:skills/seo-geo-optimizer
安装命令:
npx skills add https://github.com/199-biotechnologies/claude-skill-seo-geo-optimizer --skill seo-geo-optimizer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/199-biotechnologies/claude-skill-seo-geo-optimizer --skill seo-geo-optimizer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果。适用于地理定位优化、SEO 策略制定等场景。通过关键词、任务场景或来源线索快速定位候选结果,可结合来源仓库继续核验具体用法。

安装命令:npx skills add https://github.com/199-biotechnologies/claude-skill-seo-geo-optimizer --skill seo-geo-optimizer。建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

来源仓库内路径:skills/seo-geo-optimizer

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/199-biotechnologies/claude-skill-seo-geo-optim…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

seo-geo-optimizer 怎么安装?

在终端执行 npx skills add https://github.com/199-biotechnologies/claude-skill-seo-geo-optimizer --ski…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

seo-geo-optimizer 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

seo-geo-optimizer 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

seo-geo-optimizer 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

seo-geo-optimizer 用的人多吗?

公开数据是累计安装 1,022 次,近一周安装 43 次,下载 358 次,GitHub 28 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

seo-geo-optimizer 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
seo-geo-optimizer

SEO GEO 优化器 · 本页

1,02228需要联网未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

SEO/GEO/AEO Optimizer Guide

Overview

This skill analyzes content for SEO/GEO/AEO optimization across traditional search engines, AI platforms, and answer engines. Use it to audit content files, generate schema markup, validate metadata, extract keywords, and produce comprehensive reports with actionable recommendations.

2025 Context: AI-referred traffic grew 527% (Jan-May 2025). Content optimized for AI citation shows 33-40% higher visibility.

Quick Start

Comprehensive Audit

# Generate full audit report (JSON, Markdown, HTML)
python scripts/audit_report.py ~/project/about.html --format all

# Output: ~/Documents/SEO_Audit_YYYY-MM-DD_HH-MM-SS/
# - audit_report.json (raw data)
# - audit_report.md (readable text)
# - audit_report.html (visual dashboard)

Content Analysis

# Analyze file structure and metadata
python scripts/analyze_content.py ~/project/page.html

# Output: JSON with meta tags, schema, content structure, issues, score

Schema Generation

# Generate FAQ schema (highest AI citation probability)
python scripts/schema_generator.py faq \
  --question "What is longevity medicine?" \
  --answer "Longevity medicine optimizes biomarkers like LDL <70 mg/dL to reduce cardiovascular risk by 30-40%."

# Generate Article schema with E-E-A-T signals
python scripts/schema_generator.py article \
  --title "Understanding Biomarkers" \
  --author "Dr. Sarah Johnson" \
  --credentials "MD, PhD" \
  --date "2025-01-15"

Content Optimization (Phase 2)

# Full optimization pipeline for specific platform
python scripts/auto_implementer.py page.html perplexity

# Optimize content structure (meta description, FAQ, data tables)
python scripts/content_optimizer.py page.html

# Platform-specific optimization
python scripts/platform_optimizer.py page.html chatgpt

# Check freshness (3.2x citations for content <30 days old)
python scripts/freshness_monitor.py page.html

Core Operations

1. Metadata Validation

Validate meta tags, Open Graph, Twitter Cards, and schema completeness.

python scripts/metadata_validator.py ~/project/page.html

Fix Critical Issues:

  • Title too short → Expand to 50-60 chars with brand name
  • Missing og:image → Add 1200×630px image for social previews
  • No schema → Generate FAQ/Article schema for AI citation

2. Keyword Analysis

Extract primary, semantic, long-tail, and question-based keywords with semantic clustering.

# Full analysis with clustering
python scripts/keyword_analyzer.py ~/project/page.html

# Fast mode without clustering
python scripts/keyword_analyzer.py ~/project/page.html --no-clusters

Optimization Tips:

  • Primary keyword density: 1-3% (avoid stuffing)
  • Add 3+ question keywords for voice search
  • Long-tail phrases (3-4 words) for specificity
  • Use keyword clusters to build pillar content strategy

3. Entity Extraction

Extract persons, organizations, places for Knowledge Graph optimization.

python scripts/entity_extractor.py ~/project/page.html

E-E-A-T Signals (+40% AI citation boost):

  • Add full names with credentials (MD, PhD, MBA)
  • Include institutional affiliations (Stanford, Harvard)
  • Link to external profiles (Google Scholar, LinkedIn)

4. Schema Markup Generation

Generate JSON-LD schemas for AI platforms.

FAQ Schema (Highest Citation Probability)
python scripts/schema_generator.py faq \
  --question "What is optimal LDL cholesterol?" \
  --answer "Optimal LDL for longevity is <70 mg/dL, reducing cardiovascular risk by 30-40%."

Voice Search Optimization:

  • Answers ≤29 words for voice assistants
  • Natural language questions
  • Direct, specific answers

5. IndexNow Instant Indexing

Submit URLs directly to search engines for immediate indexing (Bing, Yandex, Seznam, Naver).

# Generate key (one-time setup)
python scripts/indexnow_submit.py --generate-key --output ./public

# Submit URL after publishing
python scripts/indexnow_submit.py https://yoursite.com/new-page --key YOUR_KEY

# Batch submit
python scripts/indexnow_submit.py --batch urls.txt --key YOUR_KEY

GEO Impact:

  • Bing index feeds AI platforms (ChatGPT, Perplexity, Claude)
  • Content indexed in minutes vs weeks
  • 3.2x citation boost for fresh content (<30 days)

Platform Optimization

ChatGPT (Depth & Authority)

  • Comprehensive coverage (1500-2500 words)
  • Author credentials prominent (MD, PhD, MBA)
  • Citations to primary sources (PubMed, arXiv)
  • Evidence-based claims with statistics

Perplexity (Freshness & Citations)

  • Recent dateModified (update weekly)
  • Inline citations with links
  • Specialized, deep-dive content
  • Current statistics (2024-2025)

Claude (Accuracy & Primary Sources)

  • Primary source citations only
  • Methodology transparent
  • Limitations acknowledged
  • Data availability stated

Gemini (Community & Local)

  • User reviews and ratings
  • Google Business Profile optimized
  • Local citations (NAP consistency)
  • Traditional authority signals

Grokipedia (xAI, Transparency & RAG)

  • RAG-based citations (20-30% better factual consistency)
  • Transparent version history and licensing
  • Primary source attribution (publisher + year)
  • Wikipedia-derived content requires CC-BY-SA attribution

AI Citation Optimization

TL;DR Strategy (+35% Citation Boost)

Place direct answer in first 60 words.

E-E-A-T Signals (+40% Citation Boost)

Author Credentials:

**Author**: Dr. Sarah Johnson, MD, PhD, FAAD
**Affiliation**: Stanford School of Medicine
**Published**: 2025-01-15 | **Updated**: 2025-11-11

Voice Search Optimization

29-Word Answers for voice assistants.

Reference Documentation

For detailed guides and templates, see the reference/ directory:

Optimization Guides:

  • citation-optimization-guide.md - AI citation strategies
  • entity-seo-guide.md - Knowledge Graph optimization
  • platform-strategies.md - Platform-specific optimization
  • voice-search-guide.md - Voice search optimization
  • social-preview-guide.md - Open Graph, Twitter Cards
  • schema-library.md - Complete JSON-LD reference

Templates (templates/ directory):

  • meta-tags-template.html - Complete meta tags
  • Schema templates (FAQ, Article, HowTo, Breadcrumb, Organization, Person)

Industry Examples (examples/ directory):

  • medical-clinic/ - Healthcare optimization (15/100 → 92/100)
  • consulting-firm/ - B2B entity SEO (22/100 → 89/100)
  • saas-landing-page/ - LLMO optimization (18/100 → 94/100)

Common Issues & Solutions

Low AI Citation Rate

Solutions:

  1. Add TL;DR in first 60 words (+35% boost)
  2. Display author credentials (MD, PhD) (+40% boost)
  3. Link to primary sources (PubMed, arXiv)
  4. Update dateModified weekly
  5. Add FAQ schema (highest citation probability)

Poor Social Media Previews

Solutions:

  1. Add 1200×630px og:image
  2. Use absolute URLs (https://...)
  3. Include og:title and og:description
  4. Test with platform validators

Knowledge Graph Not Showing

Solutions:

  1. Add Organization schema to homepage
  2. Create Person schema for key individuals
  3. Ensure NAP consistency across web
  4. Link external profiles (LinkedIn, Wikipedia)
  5. Claim Google Business Profile

Performance Notes

Script Execution Times:

  • analyze_content.py: <1 second
  • metadata_validator.py: <1 second
  • keyword_analyzer.py: <2 seconds
  • entity_extractor.py: <1 second
  • schema_generator.py: <1 second
  • audit_report.py: 3-5 seconds

Requirements:

  • Python 3.7+
  • Stdlib only (no external dependencies)
  • Works offline

Script Reference

Phase 1: Analysis:

  • analyze_content.py <file> - Extract metadata, schema, structure
  • metadata_validator.py <file> - Validate meta tags, OG, Twitter Cards
  • keyword_analyzer.py <file> - Extract keywords
  • entity_extractor.py <file> - Extract entities
  • audit_report.py <file> [options] - Generate audit reports

Phase 2: Implementation:

  • content_optimizer.py <file> - Rewrite content (meta description, FAQ, data tables)
  • platform_optimizer.py <file> <platform> - Platform-specific (chatgpt, perplexity, claude, gemini, grokipedia)
  • voice_optimizer.py <file> - Add voice search optimization (Speakable schema)
  • freshness_monitor.py <file> - Check content age, recommend updates
  • citation_enhancer.py <file> - Identify citation opportunities (+41% impact)
  • auto_implementer.py <file> [platform] - Full optimization pipeline

Generation:

  • schema_generator.py <type> [options] - Generate JSON-LD schemas

Indexing:

  • indexnow_submit.py <url> --key KEY - Submit URL to search engines instantly
  • indexnow_submit.py --batch <file> --key KEY - Batch submit URLs
  • indexnow_submit.py --generate-key - Generate IndexNow key

Supported Files: HTML, Markdown, React/JSX Output Formats: JSON, Markdown, HTML

2025 Statistics

AI Citation Impact:

  • 527% AI traffic growth (Jan-May 2025)
  • 40.58% citations from top 10 SERP results
  • +35% boost with TL;DR in first 60 words
  • +40% boost with author credentials
  • +40% boost with proper heading hierarchy

Voice Search:

  • 29-word answers optimal
  • FAQ schema: highest citation probability
  • 80% of voice answers from top 3 results

Social Media:

  • 1200×630px standard across platforms (Facebook, LinkedIn, WhatsApp)
  • Instagram: 1080×1920px for Stories, 1080×1350px for Feed, bio link optimization
  • 3x engagement with proper previews
  • +250% WhatsApp/iMessage share rate with og:image

License

MIT License. See LICENSE file for complete terms.

平台分布

Codex

31.77%
按下载量换算114

Claude

31.56%
按下载量换算113

Cursor

17.44%
按下载量换算62

Gemini CLI

9.46%
按下载量换算34

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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