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Content Seo Optimizer

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chendongqi
content-seo-optimizer

SEO优化助手 - 专业的搜索引擎优化与流量增长专家。适用场景: (1) 关键词研究与竞争分析 (2) 页面SEO优化(标题/描述/内容) (3) 技术SEO诊断与修复 (4) 站内结构与内链优化 (5) 外链建设策略 (6) SEO数据分析与报告 (7) 竞品SEO策略分析 触发关键词:SEO优化、关键词、搜索排名、收录、外链、内链、技术SEO、页面优化、搜索引擎、流量优化、百度优化、Google优化

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill namecontent-seo-optimizer
Stars
133
Forks
25
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by chendongqi on GitHub. Read the source before you install it.

Installation

Install the Content Seo Optimizer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/chendongqi/OPB-Skills/tree/main/skills/content-seo-optimizer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/content-seo-optimizer .claude/skills/content-seo-optimizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Seo Optimizer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Content Seo Optimizer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Content Seo Optimizer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SEO优化助手

核心工作流程

1. 关键词研究

关键词分类体系:

按搜索意图分类
├── 信息型:什么是XX/如何XX/XX教程
├── 导航型:XX官网/XX登录/XX下载
├── 交易型:XX价格/购买XX/XX多少钱
└── 商业调研型:XX评测/XX对比/XX哪个好

按竞争难度分类
├── 头部词:搜索量大、竞争激烈(如:手机)
├── 中部词:搜索量中等(如:手机推荐)
├── 长尾词:搜索量小、精准(如:2024年3000元手机推荐)
└── 问答词:问题形式(如:手机内存不够怎么办)

关键词评估维度:

维度指标工具/方法
搜索量月搜索量百度指数/5118/Ahrefs
竞争度竞价价格/优化难度竞价后台/SEO工具
相关性与业务的匹配度人工判断
商业价值转化潜力搜索意图分析
趋势性上升/下降/稳定趋势工具

2. 页面SEO优化

On-Page SEO清单:

标题标签(Title)
├── 长度:25-35字符(中文)/50-60字符(英文)
├── 关键词:核心词靠前
├── 吸引力:引发点击欲望
└── 唯一性:每页不重复

描述标签(Description)
├── 长度:80-120字符(中文)/150-160字符(英文)
├── 关键词:自然包含
├── 卖点:差异化价值
└── CTA:引导点击

URL结构
├── 简短:3-5层级
├── 可读:包含关键词拼音/英文
├── 规范:小写、连字符
└── 静态:避免动态参数

内容优化
├── H1标签:唯一、包含关键词
├── H2/H3标签:结构化、含长尾词
├── 关键词密度:2-3%
├── 图片ALT:描述性文字
├── 内链:相关页面互链
└── 字数:1500字以上(深度内容)

3. 技术SEO诊断

技术SEO检查项:

类别检查项重要性
抓取robots.txt配置⭐⭐⭐
抓取sitemap.xml提交⭐⭐⭐
抓取404页面处理⭐⭐
索引canonical标签⭐⭐⭐
索引noindex使用⭐⭐
索引重复内容处理⭐⭐⭐
速度页面加载时间⭐⭐⭐
速度Core Web Vitals⭐⭐⭐
移动移动端适配⭐⭐⭐
移动AMP/MIP实现⭐⭐
安全HTTPS配置⭐⭐⭐
结构结构化数据⭐⭐

常见技术问题与修复:

问题:重复内容
├── 原因:多URL访问同一内容
└── 修复:canonical标签/301重定向

问题:抓取预算浪费
├── 原因:低价值页面被抓取
└── 修复:robots.txt屏蔽/noindex

问题:加载速度慢
├── 原因:图片过大/JS阻塞
└── 修复:压缩/懒加载/CDN

问题:移动体验差
├── 原因:未做响应式适配
└── 修复:响应式设计/AMP

4. 站内结构优化

网站结构层级:

理想结构(扁平化)
├── 首页(权重最高)
├── 分类页(一级目录)
│   ├── 列表页(二级目录)
│   │   └── 详情页(三级目录)
│   └── 列表页
└── 分类页

内链策略
├── 面包屑导航:层级清晰
├── 相关推荐:内容关联
├── 标签聚合:主题集合
├── 锚文本:关键词分布
└── 底部链接:重要页面入口

内链优化原则:

原则说明示例
相关性链接内容高度相关产品页链评测页
锚文本包含目标关键词不用"点击这里"
深度分布向深层页面传递权重首页→分类→详情
数量适度每页3-10个内链避免过度优化
新鲜更新新内容链接旧内容提升旧页面权重

5. 外链建设策略

外链类型与价值:

类型获取难度SEO价值获取方式
编辑链接高⭐⭐⭐⭐⭐优质内容吸引
客座文章中⭐⭐⭐⭐投稿行业媒体
资源页链接中⭐⭐⭐申请收录
目录提交低⭐⭐提交行业目录
社交分享低⭐社媒传播

外链质量评估:

高质量外链特征
├── 来源权威:高权重/行业相关网站
├── 内容相关:与目标页面主题相关
├── 位置自然:正文中的链接
├── 锚文本多样:品牌词+关键词+URL
└── dofollow:传递权重

低质量外链特征
├── 垃圾站群:低质量网站
├── 购买链接:违反搜索引擎规则
├── 隐藏链接:用户不可见
└── 无关链接:与内容无关

6. SEO数据分析

核心指标监控:

流量指标
├── 自然搜索流量
├── 搜索点击率(CTR)
├── 平均排名位置
└── 展现量

收录指标
├── 索引页面数
├── 收录率
├── 抓取频率
└── 抓取错误数

排名指标
├── 核心词排名
├── 长尾词排名
├── 品牌词排名
└── 排名波动

转化指标
├── 搜索流量转化率
├── 着陆页跳出率
├── 停留时长
└── 页面浏览深度

数据分析维度:

维度分析内容工具
趋势流量/排名变化趋势GA/百度统计
页面高/低表现页面分析Search Console
关键词排名上升/下降词5118/Ahrefs
竞品竞品流量/排名对比SimilarWeb
技术抓取/索引问题站长工具

输出模板

SEO诊断报告结构

1. 概述
   - 网站基本信息
   - 当前SEO表现

2. 技术SEO
   - 抓取与索引状态
   - 网站速度评估
   - 移动端适配情况

3. 页面SEO
   - 标题/描述优化情况
   - 内容质量评估
   - 内链结构分析

4. 外链分析
   - 外链数量与质量
   - 外链来源分布

5. 关键词分析
   - 当前排名情况
   - 机会关键词

6. 优化建议
   - 优先级排序
   - 具体操作步骤

7. 竞品对比

关键词研究报告

【核心关键词】___________
【搜索量】_____/月
【竞争度】高/中/低

【关键词矩阵】
| 关键词 | 搜索量 | 难度 | 当前排名 | 优先级 |
|--------|--------|------|----------|--------|

【内容规划建议】
- 主攻词:
- 长尾词:
- 内容类型:

最佳实践

  • 用户优先:好的SEO一定是好的用户体验
  • 内容为王:高质量内容是SEO的根基
  • 技术保障:技术问题会严重拖累排名
  • 持续优化:SEO是长期工程,需持续投入
  • 白帽为本:避免黑帽手段,追求可持续增长

Frequently asked questions

What does the Content Seo Optimizer AI skill do?

SEO优化助手 - 专业的搜索引擎优化与流量增长专家。适用场景: (1) 关键词研究与竞争分析 (2) 页面SEO优化(标题/描述/内容) (3) 技术SEO诊断与修复 (4) 站内结构与内链优化 (5) 外链建设策略 (6) SEO数据分析与报告 (7) 竞品SEO策略分析 触发关键词:SEO优化、关键词、搜索排名、收录、外链、内链、技术SEO、页面优化、搜索引擎、流量优化、百度优化、Google优化

Why use Content Seo Optimizer on TypingMind?

Because you install it once and use it with any model. Content Seo Optimizer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Content Seo Optimizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/content-seo-optimizer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Content Seo Optimizer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Content Seo Optimizer?

As many as you like. As long as a model supports skills, you can use Content Seo Optimizer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Content Seo Optimizer AI skill free?

It is published on GitHub by chendongqi. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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