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Agent Skill · 研究检索

seo-local-seo(SEO 本地 SEO)

seo-local-seo 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-local-seo 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,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 57,063。

总安装 441周安装 18GitHub Stars 公开资料未说明下载 143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-local-seo(SEO 本地 SEO)
来源仓库:https://github.com/autom8minds/seo-skills
仓库路径:skills/seo-local-seo
安装命令:
npx skills add https://github.com/autom8minds/seo-skills --skill seo-local-seo
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/autom8minds/seo-skills --skill seo-local-seo

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。适用于本地 SEO 策略制定、地理位置相关研究、信息收集和线索筛选等场景。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/autom8minds/seo-skills --skill seo-local-seo。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-local-seo

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/autom8minds/seo-skills --skill seo-local-seo;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

    它需要调用外部服务,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-local-seo 怎么安装?

在终端执行 npx skills add https://github.com/autom8minds/seo-skills --skill seo-local-seo。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

seo-local-seo 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-local-seo 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

seo-local-seo 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-local-seo 用的人多吗?

公开数据是累计安装 441 次,近一周安装 18 次,下载 143 次。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-local-seo 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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-local-seo

SEO 本地 SEO · 本页

441—调用外部服务未明确有提醒

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

Local SEO


Google Business Profile (GBP) Optimization

Google Business Profile is the most important factor for local pack rankings.

Required fields

FieldBest Practice
Business nameExact legal name (no keyword stuffing)
Primary categoryMost specific category that fits
AddressExact match to website and all citations
PhoneLocal number (not toll-free) with area code
Website URLLink to location-specific landing page
HoursAccurate, including holiday hours

Optimization fields

FieldBest Practice
Secondary categoriesAdd all relevant categories (up to 9 additional)
Business description750 chars max; include primary services and location keywords naturally
Services/ProductsList all services with descriptions
AttributesComplete all relevant attributes (wheelchair accessible, Wi-Fi, etc.)
PhotosMinimum 10 quality photos (exterior, interior, team, products/services)
LogoSquare logo, clear at small sizes
Cover photoRepresents the business, 1080x608px

GBP Posts

  • Post weekly at minimum (shows Google the profile is active)
  • Types: Updates, Offers, Events
  • Include a CTA button (Learn More, Book, Call)
  • Add a photo to every post
  • Keep text under 300 words (first 100 words visible without clicking)

Q&A Section

  • Seed with your own frequently asked questions
  • Answer all questions promptly (within 24 hours)
  • Include relevant keywords naturally in answers

NAP Consistency

NAP = Name, Address, Phone number. Must be identical everywhere.

Why it matters

Google cross-references your business information across the web. Inconsistencies reduce trust and hurt local rankings.

Common inconsistencies

ProblemExample
Name variations"Bob's Pizza" vs "Bob's Pizza Inc." vs "Bobs Pizza"
Address format"123 Main St" vs "123 Main Street" vs "123 Main St, Suite 200"
Phone format"(512) 555-0123" vs "512-555-0123" vs "5125550123"
Old addressPrevious location still listed on old citations
Old phoneChanged number but old one still appears

Fix workflow

  1. Choose ONE canonical format for Name, Address, and Phone
  2. Update Google Business Profile first
  3. Update your website (header, footer, contact page)
  4. Update top citation sources (Yelp, Facebook, Apple Maps, Bing Places)
  5. Use a citation audit service or manually check top 50 sources
  6. Set up monitoring for new inconsistencies

Local Citation Building

Citations are online mentions of your NAP — even without a link.

Tier 1: Must-Have Citations (Do first)

SourceAuthorityNotes
Google Business ProfileCriticalPrimary listing
Apple Maps / Apple Business ConnectHighiOS Maps + Siri
Bing PlacesHighMicrosoft ecosystem
Facebook Business PageHighSocial + local search
YelpHighMajor review platform
Yellow Pages / YP.comMediumStill used by Google
Better Business BureauMediumTrust signal
FoursquareMediumPowers many apps

Tier 2: Data Aggregators

Submit to these to propagate to hundreds of smaller directories:

  • Data Axle (formerly Infogroup)
  • Neustar Localeze
  • Factual (Foursquare)

Tier 3: Industry-Specific Directories

IndustryTop Citations
HealthcareHealthgrades, Zocdoc, Vitals, WebMD
LegalAvvo, FindLaw, Justia, Martindale-Hubbell
RestaurantsTripAdvisor, OpenTable, Zomato, DoorDash
Home ServicesAngi, HomeAdvisor, Thumbtack, Houzz
AutomotiveCars.com, AutoTrader, CarGurus, DealerRater
Real EstateZillow, Realtor.com, Redfin, Trulia
HotelsBooking.com, TripAdvisor, Hotels.com, Expedia

See CITATION_SOURCES.md for the complete list of 50+ sources.


Local Keyword Research

Keyword patterns for local SEO

PatternExample
[service] + [city]"plumber austin"
[service] + near me"plumber near me"
[service] + [neighborhood]"plumber south austin"
best + [service] + [city]"best plumber in austin"
[service] + [city] + [qualifier]"emergency plumber austin tx"
[service] + reviews"plumber reviews austin"
[service] + cost/price + [city]"plumber cost austin"

Local keyword research process

  1. List all services offered
  2. List all service areas (city, neighborhoods, suburbs, zip codes)
  3. Create combinations: service + location
  4. Add modifiers: best, cheap, emergency, 24/7, near me, reviews
  5. Mine Google autocomplete for local variations
  6. Check "People Also Ask" for local question keywords
  7. Analyze competitor keywords with research_keywords (if API available)

MCP Tool: Use research_keywords with location parameter for local search volume data.


Local Landing Pages

For businesses serving multiple areas, create dedicated landing pages per location/service area.

Structure for location pages

/locations/                      (Store locator / all locations)
/locations/austin-tx/            (City landing page)
/locations/austin-tx/south-austin/ (Neighborhood page, if sufficient demand)

Required elements per location page

  • H1: [Service] in [Location] (e.g., "Emergency Plumber in Austin, TX")
  • Unique content: 500-1,000 words specific to that location
  • NAP: Full name, address, phone for that location
  • Embedded Google Map: Centered on the business location
  • LocalBusiness schema: JSON-LD with location-specific data
  • Customer reviews/testimonials: From customers in that area
  • Service area description: Neighborhoods, landmarks served
  • Photos: Location-specific images (storefront, team, local landmarks)
  • CTA: Location-specific call-to-action ("Call our Austin office")

Avoid

  • Duplicate content across location pages (each must be unique)
  • Doorway pages (thin content with only city name swapped)
  • Creating pages for areas you don't actually serve
  • Keyword-stuffing the city/neighborhood name

Review Management

Reviews are a top-3 local ranking factor.

Review generation strategy

  1. Ask happy customers for reviews at the right moment (after service completion)
  2. Make it easy: provide a direct link to your Google review form
  3. Train staff to ask in person
  4. Send follow-up emails/texts with review link (1-3 days after service)
  5. Never incentivize reviews (violates Google guidelines)
  6. Never buy fake reviews (Google can detect and penalize)

Review response templates

Positive review response:

Thank you for the kind words, [Name]! We're glad we could help with [specific service].
We appreciate you choosing [Business Name] and look forward to serving you again.

Negative review response:

[Name], thank you for your feedback. We're sorry to hear about your experience with
[specific issue]. We take this seriously and would like to make it right. Please contact
us at [phone/email] so we can address this directly.

Review signals that impact rankings

FactorImpact
Overall star ratingHigh — 4.0+ preferred
Review countHigh — more reviews = stronger signal
Review velocityMedium — steady stream better than bursts
Review recencyMedium — recent reviews weighted more
Review diversityMedium — reviews from different platforms
Owner response rateMedium — respond to all reviews
Keywords in reviewsLow-Medium — organic mentions of services help

Local Pack Ranking Factors

The local pack (3-pack) shows for local intent queries. Key ranking factors:

Top factors (in approximate order of importance)

  1. Google Business Profile signals — primary category, completeness, keywords in description
  2. Proximity — distance from searcher to business location
  3. Review signals — rating, count, velocity, keywords
  4. On-page signals — NAP on website, local keywords, location pages
  5. Citation signals — NAP consistency, citation volume, quality
  6. Link signals — local links, domain authority, link diversity
  7. Behavioral signals — click-through rate, mobile clicks-to-call, driving directions requests
  8. Personalization — user's search history and location

What you can control

  • GBP optimization (fields, categories, posts, photos)
  • Review generation and response
  • NAP consistency across citations
  • Local landing page quality
  • Local link building
  • Website technical health

Multi-Location SEO

Architecture for multi-location businesses

example.com/                            (Homepage)
example.com/locations/                  (Store locator with map)
example.com/locations/austin-tx/        (Location page)
example.com/locations/dallas-tx/        (Location page)
example.com/locations/houston-tx/       (Location page)

Key rules

  • Separate GBP profile for each physical location
  • Unique landing page per location with unique content
  • Location-specific LocalBusiness schema on each page
  • Unique phone number per location (helps with tracking and citations)
  • Consistent NAP per location across all citations
  • Avoid cannibalization between location pages (different target keywords)

Related Skills

  • seo-on-page-optimization — on-page elements for location pages
  • seo-schema-structured-data — LocalBusiness schema markup
  • seo-content-strategy — local content planning

Key MCP Tools for Local SEO

ToolUse For
analyze_pageAudit location landing pages
extract_schemaValidate LocalBusiness schema
generate_schemaGenerate LocalBusiness JSON-LD
research_keywordsLocal keyword research with location targeting

See GBP_OPTIMIZATION_CHECKLIST.md for field-by-field GBP guide. See LOCAL_SCHEMA_TEMPLATES.md for LocalBusiness schema templates. See CITATION_SOURCES.md for the complete citation source list.

平台分布

Codex

35.11%
按下载量换算50

Claude

29.92%
按下载量换算43

Cursor

16.91%
按下载量换算24

Gemini CLI

10.05%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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