Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计提醒

optimize-seooptimize SEO 搜索

Agent Skill

optimize-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。

总安装

264

周安装

11

GitHub Stars

公开资料未说明

下载量

88
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:optimize-seo(optimize SEO 搜索)
来源仓库:https://github.com/nielsmadan/agentic-coding
仓库路径:skills/optimize-seo
安装命令:
npx skills add https://github.com/nielsmadan/agentic-coding --skill optimize-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/nielsmadan/agentic-coding --skill optimize-seo

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于关键词搜索、任务场景匹配和来源线索筛选等研究检索场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • optimize-seo 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Optimize SEO

Audit a web page against current SEO best practices (2025-2026) and generate missing or improved elements.

Gotchas

  • On SPAs, SSG sites (Next.js, Gatsby), or template-driven systems, the HTML file may be a build artifact. Fixes applied to generated output are lost on the next build — find the source template instead.
  • Adding meta tags without checking for existing ones creates duplicates. Most parsers use the first match, so the old (wrong) tag wins. Check for existing tags before adding new ones.

Instructions

Step 1: Identify the Target

Determine what to audit:

  • HTML file(s): Read the file(s) directly
  • URL: Use WebFetch to retrieve the page
  • Component/template: Read the source files that produce the page

If the user provides a URL or file, read it. If unclear, ask what page to optimize.

Step 2: Audit

Consult references/seo-checklist.md for the full checklist and reference material.

Run through each category and report issues:

Title & Meta — Check title tag (50-60 chars, keyword near start, unique), meta description (150-160 chars, keyword + CTA), canonical tag, Open Graph tags, Twitter Card tags.

Headings — Single H1 with primary keyword, logical H2/H3 hierarchy, no skipped levels, no heading tags used for styling.

Images — Alt text on all images, explicit width/height, descriptive filenames, WebP format, lazy loading on below-fold images.

Structured Data — Check for existing JSON-LD. Determine appropriate schema type(s) for the page content (Article, FAQ, Product, LocalBusiness, BreadcrumbList, Organization, etc.).

Internal Linking — Descriptive anchor text, no orphan pages, links to related content.

Content — Primary keyword in first 100 words, comprehensive coverage, author attribution, publication/update dates, external authority links.

Technical — HTTPS, canonical URL, no accidental noindex, mobile-friendly markup, no render-blocking resources.

Step 3: Report Issues

Present findings grouped by severity:

  1. Critical — Missing title tag, no H1, accidental noindex, missing canonical, broken structured data
  2. Important — Missing meta description, missing Open Graph, no structured data, missing alt text, no internal links
  3. Improvements — Title too long/short, meta description could be stronger, missing Twitter Card, image optimization opportunities

For each issue: state what's wrong, why it matters, and the fix.

Step 4: Generate Fixes

Generate the actual markup for all issues found:

  • Meta tags — Title, description, canonical, robots
  • Open Graph + Twitter Card — Full tag set
  • Structured data — Complete JSON-LD block(s) using templates from references/seo-checklist.md
  • Image attributes — Alt text, width/height, loading="lazy"
  • Heading restructure — If hierarchy is broken, suggest corrected structure

Apply fixes directly to the file(s) when the user has given edit access. Otherwise, present the generated markup for the user to apply.

Step 5: Validate

After applying fixes:

  • Confirm structured data is valid JSON (parse it)
  • Verify title length is 50-60 characters
  • Verify meta description is 150-160 characters
  • Check that canonical URL is absolute and correct
  • Ensure no duplicate tags were introduced

Examples

Example 1: Audit an HTML file

User says: "optimize SEO on src/pages/about.html"

  1. Read the file
  2. Audit against checklist — find: title too long (72 chars), no meta description, no Open Graph tags, images missing alt text, no structured data
  3. Report issues by severity
  4. Generate and apply: shortened title, meta description, full OG + Twitter tags, Organization JSON-LD, alt text for images

Example 2: Generate structured data

User says: "add schema markup to our product page"

  1. Read the product page
  2. Identify it needs Product + BreadcrumbList schemas
  3. Generate JSON-LD from product details on the page (name, price, image, description, availability)
  4. Add the <script type="application/ld+json"> block to <head>

Example 3: Audit a URL

User says: "check SEO on https://example.com/blog/post"

  1. WebFetch the URL
  2. Full audit against checklist
  3. Report all issues with severity
  4. Provide copy-paste markup fixes

Troubleshooting

Page has no <head> section

Cause: Single-page app or component that doesn't control the HTML document. Solution: Identify where the <head> is managed (layout file, _app.tsx, index.html) and apply meta tags there. For structured data, JSON-LD can go anywhere in <body>.

Structured data conflicts with existing markup

Cause: Page already has partial or outdated schema. Solution: Merge with existing schema rather than duplicating. Remove deprecated schema types. Validate the combined result.

Dynamic content (SPA/React/Next.js)

Cause: Meta tags need to be set per-route, not just in a static HTML file. Solution: Use the framework's head management (Next.js <Head>, React Helmet, Vue Meta) to set tags per page. Ensure SSR/SSG renders meta tags in the initial HTML response.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.77%
按下载量换算31

Claude

32.35%
按下载量换算28

Cursor

20.99%
按下载量换算18

Gemini CLI

9.85%
按下载量换算9

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills