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Agent Skill · 研究检索

pseo-templates(搜索引擎优化模板)

pseo-templates 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。

pseo-templates 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,权限为权限未标注;许可证信息还不明确,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 65,745。

总安装 275周安装 11GitHub Stars 40下载 89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:pseo-templates(搜索引擎优化模板)
来源仓库:https://github.com/lisbeth718/pseo-skills
仓库路径:skills/pseo-templates
安装命令:
npx skills add https://github.com/lisbeth718/pseo-skills --skill pseo-templates
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/lisbeth718/pseo-skills --skill pseo-templates

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。

用于检索 SEO 相关模板、元标签配置与内容优化策略。适合在网站开发或内容管理系统中快速应用最佳实践。通过 GitHub 仓库安装,需关注模板是否包含可执行脚本或动态注入逻辑。

安装命令:npx skills add https://github.com/lisbeth718/pseo-skills --skill pseo-templates。建议在使用前审核模板安全性与 SEO 评分算法透明度。

来源仓库内路径:skills/pseo-templates

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/lisbeth718/pseo-skills --skill pseo-templates;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

pseo-templates 怎么安装?

在终端执行 npx skills add https://github.com/lisbeth718/pseo-skills --skill pseo-templates。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

pseo-templates 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。

pseo-templates 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

pseo-templates 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。

pseo-templates 用的人多吗?

公开数据是累计安装 275 次,近一周安装 11 次,下载 89 次,GitHub 40 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。

pseo-templates 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。
  • 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

  • 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
pseo-templates

搜索引擎优化模板 · 本页

27540权限未标注未明确通过

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

pSEO Page Templates

Build page templates that produce unique, intent-matched content at scale through dynamic routing and structured data rendering.

Core Principles

  1. One template, many unique pages: Templates are content-agnostic shells that render data
  2. No thin pages: Every generated page must have substantial, differentiated content
  3. Intent matching: Each page targets a specific search intent derived from its data
  4. Semantic HTML: Use correct heading hierarchy, landmarks, and elements
  5. Progressive enhancement: Pages work without JavaScript

Implementation Steps

1. Set Up Dynamic Routes

Create dynamic route segments using the framework's routing system:

Next.js App Router:

app/
  [category]/
    page.tsx                    # category hub page
    [slug]/
      page.tsx                  # individual pSEO page

Next.js Pages Router:

pages/
  [category]/
    index.tsx
    [slug].tsx

Implement generateStaticParams (App Router) or getStaticPaths (Pages Router) using the data layer's getAllSlugs().

2. Design the Page Template Structure

Every pSEO page template must include these content sections. Value goes first — the December 2025 core update devalues pages that bury useful content under filler intros, excessive ads, or boilerplate. The user's query should be answered within the first visible viewport.

┌─────────────────────────────┐
│ Breadcrumbs                 │
├─────────────────────────────┤
│ H1 (unique per page)        │
│ Key answer / value upfront  │  ← answer the search intent immediately
├─────────────────────────────┤
│ Primary content section     │
│ (unique body/data)          │
├─────────────────────────────┤
│ E-E-A-T signals             │  ← author, sources, data provenance
├─────────────────────────────┤
│ FAQ section (if applicable) │
├─────────────────────────────┤
│ Related pages / internal    │
│ links                       │
├─────────────────────────────┤
│ Category hub link           │
└─────────────────────────────┘

"Needs Met" rule (Google Dec 2025): If a user lands on this page from a search result, they should find the answer or primary value within the first screenful of content. No filler paragraphs, no "in today's world..." intros, no walls of generic text before the actual content. Get to the point immediately.

LLM extraction rule: Each section between headings should be a self-contained "answer capsule" of 134-167 words that makes sense if extracted without surrounding context. LLMs pull individual chunks, not full pages. A section heading should read as a question or topic, and the content below should fully answer it standalone. See pseo-llm-visibility for complete LLM optimization guidance.

3. Ensure Content Uniqueness

Each page MUST differentiate itself through:

  • Title: Constructed from data fields, not a single template string with one variable swap
  • H1: May differ from the title; should include the primary keyword naturally
  • Meta description: Generated from page-specific data, not a boilerplate with token replacement
  • Body content: Driven by page data — descriptions, stats, attributes, comparisons
  • FAQ section: Questions and answers specific to the page's topic

Bad: "Best {keyword} in {city}" for every page. Better: Titles that incorporate multiple data dimensions (type, location, attribute, use case).

4. Use Structured Content Blocks

Text variation alone is not enough to avoid thin content flags. Build reusable content components that render substantive, data-driven sections:

  • Data tables: Render structured attributes as a comparison or specification table (e.g., features, specs, pricing tiers)
  • Stat highlights: Pull numeric data into visual callouts (e.g., "4.8 rating", "500+ reviews", "Est. 2019")
  • Attribute breakdowns: Render key-value pairs from the data model as descriptive sections (not just a list)
  • Comparison grids: If the page relates to alternatives, render a side-by-side comparison
  • Contextual prose: Generate intro and summary paragraphs from multiple data fields — not a single sentence template
  • FAQ accordion: Render page-specific Q&A pairs (required: questions must be visible on page if using FAQPage schema)
  • Related content cards: Previews of related pages with titles, descriptions, and images

The goal: if you remove the page title and URL, the remaining content should still be identifiably about *this specific topic* and not interchangeable with another page.

5. Implement the Page Component

// Pattern for a pSEO page component
export default async function Page({ params }) {
  const data = await getPageData(params.slug);

  if (!data) return notFound();

  return (
    <article>
      <Breadcrumbs category={data.category} current={data.h1} />
      <h1>{data.h1}</h1>
      <IntroSection data={data} />
      <MainContent data={data} />
      {data.faqs?.length > 0 && <FAQSection faqs={data.faqs} />}
      <RelatedPages slug={data.slug} category={data.category} />
    </article>
  );
}

6. Handle Edge Cases

  • Missing data: Return notFound() for slugs without data — never render empty pages
  • Fallback rendering: If using ISR with fallback, show a loading state, not empty content
  • Draft pages: Add a mechanism to exclude draft/incomplete content from generation
  • Pagination: If a page type has too much content, implement pagination with rel prev/next

7. Create Category Hub Pages

Hub pages aggregate and link to individual pages within a category:

  • Display a categorized listing of all pages in the category
  • Include an intro paragraph unique to the category
  • Link to every child page (or paginate if >100)
  • Include the category's own metadata and schema markup

8. Add E-E-A-T Signals

Google's 2025 updates heavily weight Experience, Expertise, Authoritativeness, and Trustworthiness — even on programmatic pages. Every pSEO template should include:

  • Data provenance: Where the information comes from (cite sources, databases, official records)
  • Last updated date: Visible on the page, not just in schema. Shows the content is maintained.
  • Author or organization attribution: Who is responsible for this content. Can be an organization for pSEO.
  • Methodology note (where applicable): "Prices updated daily from [source]" or "Rankings based on [criteria]"
  • First-party evidence: If the business has proprietary data, surface it (original research, real user data, verified reviews)

For YMYL topics (health, finance, civic, legal), E-E-A-T requirements are stricter:

  • Author credentials must be explicit
  • Sources must be authoritative (government, medical, legal sources)
  • Content must be reviewed by a qualified person
// E-E-A-T component pattern
function ContentAttribution({ source, lastUpdated, methodology }: EEATProps) {
  return (
    <aside aria-label="Content information">
      <p>Data sourced from {source}</p>
      <p>Last updated: <time dateTime={lastUpdated}>{formatDate(lastUpdated)}</time></p>
      {methodology && <p>Methodology: {methodology}</p>}
    </aside>
  );
}

9. Image SEO at Scale

Images are often a key differentiator for pSEO pages (product photos, location images, comparison visuals). Every image rendered by a template must have:

  • Unique alt text: Generated from data fields, not a generic template. Bad: alt="product image". Good: alt="{productName} - {color} {material}, {brand}".
  • Descriptive filenames: Use slugified data fields in image URLs where possible (e.g., blue-wool-sweater-brand.webp not IMG_4523.jpg)
  • Explicit dimensions: width and height attributes to prevent CLS
  • Lazy loading: All below-fold images use loading="lazy"; the LCP image uses loading="eager" or priority
  • Image schema: If images are a core part of the page value, include ImageObject in the page's JSON-LD (coordinate with pseo-schema)

For pages without unique images, consider:

  • Category-level placeholder images (better than no image for OG tags)
  • Data-driven visual elements (charts, comparison tables) that serve as the page's visual content
  • Omitting og:image entirely rather than using a generic placeholder across thousands of pages

Template Checklist

Before considering a template complete:

  • Every generated page has a unique H1 that differs from other pages
  • Body content varies substantially between pages (not just variable swaps)
  • At least 2 structured content blocks are present (data table, stats, attributes, FAQ, etc.)
  • FAQ section renders page-specific questions (if the data includes FAQs)
  • Breadcrumbs render correctly with the page's category hierarchy
  • notFound() is returned for invalid slugs
  • Related pages section links to other pages in the same category
  • Semantic HTML is used (article, section, nav, h1-h3 hierarchy)
  • generateStaticParams produces the complete slug list
  • E-E-A-T signals present: data source, last updated date, attribution
  • Primary value/answer is visible in the first viewport (no filler intros)
  • YMYL pages have elevated trust signals (author credentials, authoritative sources)

Relationship to Other Skills

  • Depends on: pseo-data (content models and fetching)
  • Consumed by: pseo-metadata (template structure informs meta tag placement)
  • Works with: pseo-linking (templates render link components), pseo-schema (templates include schema scripts)

平台分布

Codex

36.18%
按下载量换算32

Claude

26.1%
按下载量换算23

Cursor

18.75%
按下载量换算17

Gemini CLI

9%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。目前只有一个公开来源,建议同时核对源仓库。

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