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Agent Skill · 研究检索

blog-schema(博客架构)

blog-schema 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。

blog-schema 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 34,118。

总安装 2,274周安装 92GitHub Stars 619下载 714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:blog-schema(博客架构)
来源仓库:https://github.com/agricidaniel/claude-blog
仓库路径:skills/blog-schema
安装命令:
npx skills add https://github.com/agricidaniel/claude-blog --skill blog-schema
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/agricidaniel/claude-blog --skill blog-schema

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。

blog-schema 用于生成验证通过的 JSON-LD 结构化数据标记,适合在 Codex、Claude、Cursor、Gemini CLI 中需要增强博客 SEO 与实体关联时使用。它将多种 schema 类型合并为单一脚本标签,支持作者信息、FAQ 与媒体资源映射。

使用时自动提取标题、日期、描述等字段,确保 @id 引用稳定。安装前建议确认是否写入 HTML 文件及站点配置兼容性。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/blog-schema

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/agricidaniel/claude-blog --skill blog-schema;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

blog-schema 怎么安装?

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

blog-schema 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。

blog-schema 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。

blog-schema 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。

blog-schema 用的人多吗?

公开数据是累计安装 2,274 次,近一周安装 92 次,下载 714 次,GitHub 619 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。

blog-schema 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
blog-schema

博客架构 · 本页

2,274619需要联网未明确通过

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

Blog Schema -- JSON-LD Structured Data Generation

Generates complete, validated JSON-LD schema markup for blog posts using the @graph pattern. Combines multiple schema types into a single script tag with stable @id references for entity linking.

Workflow

Step 1: Read Content

Read the blog post and extract all schema-relevant data:

  • Title (headline)
  • Author (name, job title, social links, credentials)
  • Dates (datePublished, dateModified / lastUpdated)
  • Description (meta description)
  • FAQ section (question and answer pairs)
  • Images (cover image URL, dimensions, alt text; inline images)
  • Organization info (site name, URL, logo)
  • Word count (approximate from content length)
  • Tags/categories (for BreadcrumbList category)
  • Slug (from filename or frontmatter)

Step 2: Generate BlogPosting Schema

Complete BlogPosting with all required and recommended properties:

{
  "@type": "BlogPosting",
  "@id": "{siteUrl}/blog/{slug}#article",
  "headline": "Post title (max 110 chars)",
  "description": "Meta description (150-160 chars)",
  "datePublished": "YYYY-MM-DD",
  "dateModified": "YYYY-MM-DD",
  "author": { "@id": "{siteUrl}/author/{author-slug}#person" },
  "publisher": { "@id": "{siteUrl}#organization" },
  "image": { "@id": "{siteUrl}/blog/{slug}#primaryimage" },
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "{siteUrl}/blog/{slug}"
  },
  "wordCount": 2400,
  "articleBody": "First 200 characters of content as excerpt..."
}

Required properties: @type, headline, datePublished, author, publisher, image. Recommended properties: description, dateModified, mainEntityOfPage, wordCount, articleBody (excerpt).

Step 3: Generate Person Schema

Author schema with stable @id for cross-referencing:

{
  "@type": "Person",
  "@id": "{siteUrl}/author/{author-slug}#person",
  "name": "Author Name",
  "jobTitle": "Role or Title",
  "url": "{siteUrl}/author/{author-slug}",
  "sameAs": [
    "https://twitter.com/handle",
    "https://linkedin.com/in/handle",
    "https://github.com/handle"
  ]
}

Optional properties (include when available):

  • alumniOf - Educational institution (Organization type)
  • worksFor - Employer (reference to Organization @id if same entity)

Step 4: Generate Organization Schema

Blog's parent organization entity:

{
  "@type": "Organization",
  "@id": "{siteUrl}#organization",
  "name": "Organization Name",
  "url": "{siteUrl}",
  "logo": {
    "@type": "ImageObject",
    "url": "{siteUrl}/logo.png",
    "width": 600,
    "height": 60
  },
  "sameAs": [
    "https://twitter.com/org",
    "https://linkedin.com/company/org",
    "https://github.com/org"
  ]
}

Logo requirements: must be a valid image URL. Google recommends logos be 112x112px minimum, 600px wide maximum. Rectangular logos preferred for BlogPosting publishers.

Step 5: Generate BreadcrumbList

Navigation breadcrumb schema showing content hierarchy:

{
  "@type": "BreadcrumbList",
  "@id": "{siteUrl}/blog/{slug}#breadcrumb",
  "itemListElement": [
    {
      "@type": "ListItem",
      "position": 1,
      "name": "Home",
      "item": "{siteUrl}"
    },
    {
      "@type": "ListItem",
      "position": 2,
      "name": "Category Name",
      "item": "{siteUrl}/blog/category/{category-slug}"
    },
    {
      "@type": "ListItem",
      "position": 3,
      "name": "Post Title",
      "item": "{siteUrl}/blog/{slug}"
    }
  ]
}

If no category is available, use "Blog" as the second breadcrumb item with {siteUrl}/blog as the URL.

Step 6: Generate FAQPage Schema

Extract Q&A pairs from the blog post's FAQ section:

{
  "@type": "FAQPage",
  "@id": "{siteUrl}/blog/{slug}#faq",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is the question?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "The complete answer text (40-60 words with statistic)."
      }
    }
  ]
}

Important note: Google restricted FAQ rich results to government and health sites since August 2023. However, FAQ schema markup still provides value because:

  • AI systems (ChatGPT, Perplexity, Gemini) extract FAQ data for citations
  • It structures content for future rich result eligibility changes
  • It improves content organization signals

Step 7: Generate VideoObject (if videos present)

For each YouTube video embedded in the post, generate a VideoObject schema:

{
  "@type": "VideoObject",
  "@id": "{siteUrl}/blog/{slug}#video-{index}",
  "name": "Video title",
  "description": "Video description excerpt (first 200 chars)",
  "thumbnailUrl": "https://img.youtube.com/vi/{videoId}/hqdefault.jpg",
  "uploadDate": "{ISO 8601 date}",
  "contentUrl": "https://www.youtube.com/watch?v={videoId}",
  "embedUrl": "https://www.youtube.com/embed/{videoId}",
  "duration": "PT{M}M{S}S",
  "interactionStatistic": {
    "@type": "InteractionCounter",
    "interactionType": { "@type": "WatchAction" },
    "userInteractionCount": {viewCount}
  }
}

Add each VideoObject to the @graph array. Use #video-1, #video-2 etc. for the @id fragment. Extract video metadata from the embed's noscript fallback or from YouTube Data API if available via blog-google.

Step 7.5: Generate ImageObject

Cover image schema for the post's primary image:

{
  "@type": "ImageObject",
  "@id": "{siteUrl}/blog/{slug}#primaryimage",
  "url": "https://cdn.pixabay.com/photo/.../image.jpg",
  "width": 1200,
  "height": 630,
  "caption": "Descriptive caption matching alt text"
}

Image requirements:

  • URL must be crawlable and publicly accessible
  • Width and height should reflect actual image dimensions
  • Caption should match or closely align with the image alt text
  • Preferred dimensions: 1200x630 (OG-compatible) or 1920x1080

Step 8: Validate & Warn

Check for deprecated schema types and apply validation rules:

NEVER use these deprecated types:

  • HowTo - Deprecated September 2023 (Google no longer shows rich results)
  • SpecialAnnouncement - Deprecated July 2025
  • Practice Problem - Deprecated (education markup)
  • Dataset - Deprecated for general use
  • Sitelinks Search Box - Deprecated
  • Q&A - Deprecated January 2026 (distinct from FAQPage)

Validation checks:

  1. All @id references resolve to entities within the @graph
  2. dateModified is equal to or after datePublished
  3. headline does not exceed 110 characters
  4. description is between 50-160 characters
  5. All URLs are absolute (not relative)
  6. Image dimensions are positive integers
  7. BreadcrumbList positions are sequential starting from 1
  8. FAQPage has at least 2 questions

AI citation optimization note: Pages using 3 or more schema types have approximately 13% higher AI citation likelihood. This skill generates up to 7 types (BlogPosting, Person, Organization, BreadcrumbList, FAQPage, ImageObject, VideoObject) to maximize both search engine understanding and AI extraction.

Step 9: Output

Combine all schemas into a single <script> tag using the @graph pattern:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "BlogPosting", ... },
    { "@type": "Person", ... },
    { "@type": "Organization", ... },
    { "@type": "BreadcrumbList", ... },
    { "@type": "FAQPage", ... },
    { "@type": "VideoObject", ... },
    { "@type": "ImageObject", ... }
  ]
}
</script>

@graph pattern benefits:

  • Single script tag instead of multiple - cleaner HTML
  • Entity linking via stable @id references (e.g., author references Person by @id)
  • Google and AI systems parse @graph arrays correctly
  • Easier to maintain and update as a single block

Output options:

  • Embedded HTML - Ready to paste into <head> or before </body>
  • Standalone JSON - For CMS schema fields or API injection
  • MDX component - If the project uses MDX, wrap in a component

Save the generated schema to the blog post file or to a separate schema file as the user prefers.

平台分布

Codex

35.32%
按下载量换算252

Claude

28.05%
按下载量换算200

Cursor

18.8%
按下载量换算134

Gemini CLI

9.87%
按下载量换算70

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

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