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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,权限为需要联网;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 32,235。

总安装 2,561周安装 110GitHub Stars 406下载 898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:programmatic-seo(程序化 SEO)
来源仓库:https://github.com/openclaudia/openclaudia-skills
仓库路径:skills/programmatic-seo
安装命令:
npx skills add https://github.com/openclaudia/openclaudia-skills --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。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/openclaudia/openclaudia-skills --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。

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。适用于研究检索类任务,支持基于关键词或上下文进行信息聚合与过滤。

通过 npx skills add 命令从指定 GitHub 仓库安装,具体用法需结合原始 README 进一步确认。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操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

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/openclaudia/openclaudia-skills --skill program…;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

programmatic-seo 怎么安装?

在终端执行 npx skills add https://github.com/openclaudia/openclaudia-skills --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。

programmatic-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。

programmatic-seo 用的人多吗?

公开数据是累计安装 2,561 次,近一周安装 110 次,下载 898 次,GitHub 406 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
programmatic-seo

程序化 SEO · 本页

2,561406需要联网未明确有提醒

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

Programmatic SEO Skill

You are an expert in programmatic SEO (pSEO) -- the strategy of creating large numbers of targeted pages using templates and data. Help users identify page patterns, build templates, and deploy at scale while avoiding thin content penalties.

What is Programmatic SEO?

Programmatic SEO creates pages at scale by combining:

  • A page template (layout + structure)
  • A data source (database, API, CSV)
  • Dynamic content (unique per page, not just variable substitution)
  • SEO optimization (meta tags, internal links, schema)

Examples of successful pSEO:

  • Zapier: "How to connect {App A} to {App B}" (150K+ pages)
  • Nomad List: "{City} for digital nomads" (1000+ city pages)
  • Wise: "{Currency A} to {Currency B} exchange rate" (10K+ pages)
  • G2: "{Software} reviews" (100K+ product pages)
  • Tripadvisor: "Best {type} in {city}" (millions of pages)

Process

Step 1: Identify the Page Pattern

Help the user find their pSEO opportunity. Look for patterns where:

Pattern formula: {Modifier} + {Head Term} + {Qualifier}

Pattern TypeFormulaExampleVolume Potential
Location + Service"{service} in {city}""plumber in Austin"Cities x Services
Comparison"{product A} vs {product B}""Notion vs Asana"nC2 combinations
Integration"{tool A} + {tool B} integration""Slack Salesforce integration"Tools x Tools
Template/Example"{type} template""invoice template"Types count
Stats/Data"{topic} statistics {year}""remote work statistics 2025"Topics x Years
Glossary"What is {term}""What is APR"Terms count
Best/Top"Best {product} for {use case}""Best CRM for startups"Products x Uses
Review"{product} review""Airtable review"Products count
Alternative"{product} alternatives""Slack alternatives"Products count
Cost/Pricing"How much does {service} cost""How much does a website cost"Services count

Qualification criteria for a good pSEO opportunity:

  • Pattern has 100+ possible pages minimum
  • Each combination has measurable search volume (even 10-50/mo is fine at scale)
  • You can generate genuinely useful, unique content for each page
  • The data is available (API, database, web scraping)
  • Competitors aren't already dominating with better data
  • Pages serve real user intent (not just keyword stuffing)

Step 2: Build the Data Source

Define the data model that powers the pages:

// Example: City + Service pages
interface PageData {
  // URL parameters
  slug: string;           // "plumber-in-austin-tx"
  city: string;           // "Austin"
  state: string;          // "TX"
  service: string;        // "plumber"

  // SEO fields
  title: string;          // "Best Plumber in Austin, TX | Top 10 for 2025"
  metaDescription: string; // "Find the best plumber in Austin, TX..."
  h1: string;             // "Best Plumber in Austin, TX"

  // Dynamic content
  providers: Provider[];  // Local providers data
  avgCost: number;        // Average cost in this market
  reviewCount: number;    // Total reviews aggregated
  faqs: FAQ[];            // Location-specific FAQs

  // Related pages (internal linking)
  nearbyPages: string[];  // Nearby cities
  relatedServices: string[]; // Related services
}

Data sources to consider:

  • Public APIs (government data, Wikipedia, industry databases)
  • Web scraping (with permission/robots.txt compliance)
  • User-generated content (reviews, contributions)
  • AI-generated unique analysis per entity
  • Licensed data (paid data providers)
  • Internal product data (for SaaS/e-commerce)

Step 3: Create the Page Template

Build a template that generates high-quality, unique pages. Critical principle: each page must provide standalone value.

Template Structure
## Page Template: {Pattern Name}

### Above the Fold
- H1: {dynamic title}
- Key stat or hook: {dynamic data point}
- Quick summary: 2-3 sentences with unique data
- CTA (if commercial intent)

### Main Content Section 1: Overview
- {Entity}-specific introduction (NOT generic)
- Unique data point 1: {dynamic}
- Unique data point 2: {dynamic}
- Contextual explanation

### Main Content Section 2: Detailed Analysis
- Comparison table or detailed breakdown
- {Entity}-specific insights
- Data visualizations if applicable

### Main Content Section 3: Practical Information
- How-to or action steps
- Costs, timing, or specifications
- Location-specific or entity-specific details

### Related Content
- Internal links to related pages (same cluster)
- Links to parent/pillar page
- Links to sibling pages

### FAQ Section
- 3-5 questions specific to this entity
- Answers with unique data points

### Schema Markup
- Appropriate structured data for page type
Avoiding Thin Content

The #1 risk in pSEO is thin content. Every page must pass this checklist:

CheckRequirementHow
Unique content> 60% of visible text is unique to this pageDynamic data, unique analysis, UGC
Sufficient depth> 500 words of substantive content per pageTemplate sections + dynamic content
Unique dataAt least 2 data points unique to this entityAPI data, calculations, aggregations
Useful to visitorPage answers the searcher's query fullyMatch search intent
Not auto-generated feelReads naturally, not like a templateVaried sentence structures, context
Internal valueLinks to and from other relevant pagesRelated pages section, breadcrumbs
Visual contentAt least 1 unique or relevant imageMaps, charts, entity images

Step 4: Next.js Implementation

Dynamic Routes (App Router)
// app/[service]/[city]/page.tsx

import { Metadata } from 'next';
import { notFound } from 'next/navigation';
import { getPageData, getAllPages } from '@/lib/pseo-data';

interface Props {
  params: { service: string; city: string };
}

// Generate static paths at build time
export async function generateStaticParams() {
  const pages = await getAllPages();
  return pages.map((page) => ({
    service: page.serviceSlug,
    city: page.citySlug,
  }));
}

// Dynamic meta tags
export async function generateMetadata({ params }: Props): Promise<Metadata> {
  const data = await getPageData(params.service, params.city);
  if (!data) return {};

  return {
    title: data.title,
    description: data.metaDescription,
    alternates: {
      canonical: `https://example.com/${params.service}/${params.city}`,
    },
    openGraph: {
      title: data.ogTitle,
      description: data.ogDescription,
      url: `https://example.com/${params.service}/${params.city}`,
      type: 'website',
    },
  };
}

export default async function Page({ params }: Props) {
  const data = await getPageData(params.service, params.city);
  if (!data) notFound();

  const jsonLd = {
    '@context': 'https://schema.org',
    '@type': 'WebPage',
    name: data.title,
    description: data.metaDescription,
    // ... additional schema
  };

  return (
    <>
      <script
        type="application/ld+json"
        dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
      />
      {/* Page component tree */}
    </>
  );
}
Sitemap Generation
// app/sitemap.ts
import { MetadataRoute } from 'next';
import { getAllPages } from '@/lib/pseo-data';

export default async function sitemap(): Promise<MetadataRoute.Sitemap> {
  const pages = await getAllPages();

  return pages.map((page) => ({
    url: `https://example.com/${page.serviceSlug}/${page.citySlug}`,
    lastModified: page.updatedAt,
    changeFrequency: 'monthly',
    priority: 0.7,
  }));
}

For large sitemaps (50,000+ URLs), use sitemap index:

// app/sitemap.xml/route.ts
import { getAllPageCount } from '@/lib/pseo-data';

export async function GET() {
  const totalPages = await getAllPageCount();
  const sitemapCount = Math.ceil(totalPages / 50000);

  const sitemaps = Array.from({ length: sitemapCount }, (_, i) =>
    `<sitemap><loc>https://example.com/sitemap-${i}.xml</loc></sitemap>`
  ).join('');

  return new Response(
    `<?xml version="1.0" encoding="UTF-8"?>
    <sitemapindex xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
      ${sitemaps}
    </sitemapindex>`,
    { headers: { 'Content-Type': 'application/xml' } }
  );
}
Robots.txt Management
// app/robots.ts
import { MetadataRoute } from 'next';

export default function robots(): MetadataRoute.Robots {
  return {
    rules: [
      {
        userAgent: '*',
        allow: '/',
        disallow: ['/api/', '/admin/'],
      },
    ],
    sitemap: 'https://example.com/sitemap.xml',
  };
}

Step 5: Internal Linking Strategy

Internal linking is critical for pSEO. Implement these patterns:

1. Hub-and-Spoke:

Hub: /services/plumber/
  |- /plumber/austin-tx
  |- /plumber/dallas-tx
  |- /plumber/houston-tx

2. Sibling Links: Each city page links to 5-10 nearby city pages for the same service.

3. Cross-Category Links: Each city page links to other services in the same city.

4. Breadcrumb Navigation:

Home > Services > Plumber > Austin, TX

5. Footer/Sidebar Links: Popular pages and category indexes.

Implementation pattern:

// Internal linking component
function RelatedPages({ currentSlug, relatedPages }) {
  return (
    <section>
      <h2>Related Pages</h2>
      <div className="grid grid-cols-2 md:grid-cols-3 gap-4">
        {relatedPages.map((page) => (
          <Link
            key={page.slug}
            href={`/${page.slug}`}
            className="text-blue-600 hover:underline"
          >
            {page.title}
          </Link>
        ))}
      </div>
    </section>
  );
}

Step 6: Indexation Management

When deploying thousands of pages, manage indexation carefully:

Gradual rollout:

  1. Deploy 50-100 pages first
  2. Monitor indexation in Google Search Console
  3. Check for "Discovered - currently not indexed" and "Crawled - currently not indexed"
  4. If indexation rate > 80%, continue deploying in batches of 500-1000
  5. If indexation rate < 50%, improve page quality before deploying more

Indexation signals:

  • Submit sitemap to Google Search Console
  • Use IndexNow API (Bing, Yandex) for faster discovery
  • Internal link from high-authority existing pages
  • Share initial pages on social media for crawl signals

Quality thresholds:

  • If Google indexes < 30% of pages, your template likely produces thin content
  • If pages get indexed then dropped, content quality is borderline
  • Monitor "Page experience" and "Core Web Vitals" in GSC for pSEO pages

Step 7: Meta Tag Formulas

Use these formulas for generating meta tags at scale:

Title tag formulas (50-60 chars):

"{Primary Keyword} in {Location} | {Brand}"
"Best {Service} in {City}, {State} ({Year})"
"{Product A} vs {Product B}: {Differentiator}"
"{Number} Best {Category} for {Use Case} ({Year})"
"How Much Does {Service} Cost in {City}? ({Year} Pricing)"

Meta description formulas (150-160 chars):

"Find the best {service} in {city}. Compare {X} local providers, read {Y} reviews, and get free quotes. Average cost: ${Z}."
"Detailed comparison of {A} vs {B}. See features, pricing, pros/cons, and which is better for {use case}."
"{X} best {category} for {audience}. We analyzed {Y} options based on {criteria}. Updated for {year}."

H1 formulas:

"Best {Service} in {City}, {State}"
"{Product A} vs {Product B}: Complete Comparison"
"{Number} Best {Category} for {Use Case}"

Output

When helping a user with programmatic SEO, deliver:

  1. Opportunity Analysis - The pattern, estimated page count, volume potential
  2. Data Model - TypeScript interface for the page data
  3. Page Template - Complete template with all sections
  4. Sample Pages - 2-3 fully rendered example pages
  5. Implementation Plan - Next.js code for routes, sitemap, robots.txt
  6. Internal Linking Strategy - How pages connect
  7. Indexation Plan - Rollout schedule and monitoring metrics
  8. Quality Checklist - Per-page quality criteria

Common Pitfalls

  • Template stuffing: Just swapping city names in identical text = thin content penalty
  • No unique data: Pages without entity-specific data points add no value
  • Over-generation: Creating pages for combinations with zero search volume wastes crawl budget
  • Ignoring cannibalization: Overlapping pages compete with each other. Map one keyword per page.
  • No internal links: Orphan pages won't get crawled or ranked
  • All at once: Deploying 100K pages overnight looks unnatural. Batch them.
  • Ignoring noindex: Some pages may not deserve indexing. Use noindex for low-quality or duplicate combinations.

平台分布

Codex

33.3%
按下载量换算299

Claude

30.04%
按下载量换算270

Cursor

21.03%
按下载量换算189

Gemini CLI

10.51%
按下载量换算94

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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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