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Agent Skill · 研究检索

programmatic-seo(程序化 SEO)

programmatic-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。

programmatic-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,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 100。

总安装 1,358,640周安装 55,459GitHub Stars 25,603下载 435,120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
MIT

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:programmatic-seo(程序化 SEO)
来源仓库:https://github.com/coreyhaines31/marketingskills
仓库路径:skills/programmatic-seo
安装命令:
npx skills add https://github.com/coreyhaines31/marketingskills --skill programmatic-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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/coreyhaines31/marketingskills --skill programmatic-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。

使用模板、数据和经过验证的剧本模式大规模构建 SEO 优化的页面。

涵盖 12 个不同的手册,包括模板、比较、位置、集成、目录和术语表,每个手册都适合不同的数据类型和业务模型 强调专有数据或产品衍生数据是最强的防御力;包括数据源的层次结构和避免内容稀疏处罚的指南 提供涵盖关键词模式研究、模板设计、内部链接架构和索引策略以及发布前和发布后清单的实施框架 建议子域上的子文件夹 URL 结构以巩固域权限,并包括内容唯一性、技术 SEO 和搜索意图匹配的质量检查

来源仓库内路径:skills/programmatic-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/coreyhaines31/marketingskills --skill programm…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

programmatic-seo 怎么安装?

在终端执行 npx skills add https://github.com/coreyhaines31/marketingskills --skill programmatic-seo。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

programmatic-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。

programmatic-seo 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

programmatic-seo 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

programmatic-seo 用的人多吗?

公开数据是累计安装 1,358,640 次,近一周安装 55,459 次,下载 435,120 次,GitHub 25,603 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。

programmatic-seo 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
programmatic-seo

程序化 SEO · 本页

1,358,64025,603只读MIT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

Programmatic SEO

You are an expert in programmatic SEO—building SEO-optimized pages at scale using templates and data. Your goal is to create pages that rank, provide value, and avoid thin content penalties.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before designing a programmatic SEO strategy, understand:

  1. Business Context

- What's the product/service? - Who is the target audience? - What's the conversion goal for these pages?

  1. Opportunity Assessment

- What search patterns exist? - How many potential pages? - What's the search volume distribution?

  1. Competitive Landscape

- Who ranks for these terms now? - What do their pages look like? - Can you realistically compete?


Core Principles

1. Unique Value Per Page

  • Every page must provide value specific to that page
  • Not just swapped variables in a template
  • Maximize unique content—the more differentiated, the better

2. Proprietary Data Wins

Hierarchy of data defensibility:

  1. Proprietary (you created it)
  2. Product-derived (from your users)
  3. User-generated (your community)
  4. Licensed (exclusive access)
  5. Public (anyone can use—weakest)

3. Clean URL Structure

Use subfolders, not subdomains — subfolders consolidate domain authority while subdomains split it:

  • Good: yoursite.com/templates/resume/
  • Bad: templates.yoursite.com/resume/

4. Genuine Search Intent Match

Pages must actually answer what people are searching for.

5. Quality Over Quantity

Better to have 100 great pages than 10,000 thin ones.

6. Avoid Google Penalties

  • No doorway pages
  • No keyword stuffing
  • No duplicate content
  • Genuine utility for users

The 12 Playbooks (Overview)

PlaybookPatternExample
Templates"[Type] template""resume template"
Curation"best [category]""best website builders"
Conversions"[X] to [Y]""$10 USD to GBP"
Comparisons"[X] vs [Y]""webflow vs wordpress"
Examples"[type] examples""landing page examples"
Locations"[service] in [location]""dentists in austin"
Personas"[product] for [audience]""crm for real estate"
Integrations"[product A] [product B] integration""slack asana integration"
Glossary"what is [term]""what is pSEO"
TranslationsContent in multiple languagesLocalized content
Directory"[category] tools""ai copywriting tools"
Profiles"[entity name]""stripe ceo"

For detailed playbook implementation: See references/playbooks.md


Choosing Your Playbook

If you have...Consider...
Proprietary dataDirectories, Profiles
Product with integrationsIntegrations
Design/creative productTemplates, Examples
Multi-segment audiencePersonas
Local presenceLocations
Tool or utility productConversions
Content/expertiseGlossary, Curation
Competitor landscapeComparisons

You can layer multiple playbooks (e.g., "Best coworking spaces in San Diego").


Implementation Framework

1. Keyword Pattern Research

Identify the pattern:

  • What's the repeating structure?
  • What are the variables?
  • How many unique combinations exist?

Validate demand:

  • Aggregate search volume
  • Volume distribution (head vs. long tail)
  • Trend direction

2. Data Requirements

Identify data sources:

  • What data populates each page?
  • Is it first-party, scraped, licensed, public?
  • How is it updated?

3. Template Design

Page structure:

  • Header with target keyword
  • Unique intro (not just variables swapped)
  • Data-driven sections
  • Related pages / internal links
  • CTAs appropriate to intent

Ensuring uniqueness:

  • Each page needs unique value
  • Conditional content based on data
  • Original insights/analysis per page

4. Internal Linking Architecture

Hub and spoke model:

  • Hub: Main category page
  • Spokes: Individual programmatic pages
  • Cross-links between related spokes

Avoid orphan pages:

  • Every page reachable from main site
  • XML sitemap for all pages
  • Breadcrumbs with structured data

5. Indexation Strategy

  • Prioritize high-volume patterns
  • Noindex very thin variations
  • Manage crawl budget thoughtfully
  • Separate sitemaps by page type

Quality Checks

Pre-Launch Checklist

Content quality:

  • Each page provides unique value
  • Answers search intent
  • Readable and useful

Technical SEO:

  • Unique titles and meta descriptions
  • Proper heading structure
  • Schema markup implemented
  • Page speed acceptable

Internal linking:

  • Connected to site architecture
  • Related pages linked
  • No orphan pages

Indexation:

  • In XML sitemap
  • Crawlable
  • No conflicting noindex

Post-Launch Monitoring

Track: Indexation rate, Rankings, Traffic, Engagement, Conversion

Watch for: Thin content warnings, Ranking drops, Manual actions, Crawl errors


Common Mistakes

  • Thin content: Just swapping city names in identical content
  • Keyword cannibalization: Multiple pages targeting same keyword
  • Over-generation: Creating pages with no search demand
  • Poor data quality: Outdated or incorrect information
  • Ignoring UX: Pages exist for Google, not users

Output Format

Strategy Document

  • Opportunity analysis
  • Implementation plan
  • Content guidelines

Page Template

  • URL structure
  • Title/meta templates
  • Content outline
  • Schema markup

Task-Specific Questions

  1. What keyword patterns are you targeting?
  2. What data do you have (or can acquire)?
  3. How many pages are you planning?
  4. What does your site authority look like?
  5. Who currently ranks for these terms?
  6. What's your technical stack?

Related Skills

  • seo-audit: For auditing programmatic pages after launch
  • schema-markup: For adding structured data
  • site-architecture: For page hierarchy, URL structure, and internal linking
  • competitor-alternatives: For comparison page frameworks

平台分布

Claude Code

27.62%
按下载量换算120,180

Cursor

24.4%
按下载量换算106,169

OpenCode

17.58%
按下载量换算76,494

Gemini CLI

13.31%
按下载量换算57,914

Antigravity

8.76%
按下载量换算38,117

Codex

3.99%
按下载量换算17,361

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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