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Seo Autopilot

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kennyzir
seo-autopilot

全自动 SEO 内容新鲜度引擎。监听关键词研究报告目录,自动生成落地页和博客文章,运行 SEO 审计后推送更新。适用于任何需要定期更新内容以保持 Google 排名新鲜度的网站项目。支持 Next.js / Astro / Nuxt 等主流框架。

Overview

Publisherkennyzir
Repository7deer_skills
Skill nameseo-autopilot
Stars
329
Forks
143
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Seo Autopilot 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/kennyzir/7deer_skills/tree/main/seo-autopilot
  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/kennyzir/7deer_skills.git /tmp/7deer_skills
mkdir -p .claude/skills
cp -r /tmp/7deer_skills/seo-autopilot .claude/skills/seo-autopilot
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Autopilot 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 Seo Autopilot 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 Seo Autopilot 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 Autopilot — 全自动内容新鲜度引擎

把关键词研究报告变成已部署的 SEO 页面,零人工干预。

核心价值

当你有一个外部 Agent(如 OpenClaw)定期生成关键词研究报告并推送到 Git 仓库时,这个 skill 会:

  1. 自动检测新报告(通过 git autofetch + fileCreated hook)
  2. 自动解析报告中的 Top 关键词和推荐动作
  3. 自动去重(跳过已有页面覆盖的关键词)
  4. 自动决策页面类型(落地页 vs 博客文章)
  5. 自动生成符合项目风格的页面代码
  6. 自动审计(Technical SEO + EEAT 双门检查)
  7. 自动推送(git commit + push → 触发自动部署)

时间节省: 从报告到页面上线,传统方式需要 2-4 小时/页,自动化后 < 5 分钟/页。

完整自动化链路

┌─────────────────────────────────────────┐
│  外部 Agent(OpenClaw 等)              │
│  生成关键词报告 → git push              │
└──────────────┬──────────────────────────┘
               │ (git push to main)
               ▼
┌─────────────────────────────────────────┐
│  IDE(Kiro / Claude Code / Cursor)     │
│  git.autofetch: true (每 2 分钟)        │
│  git.pullOnFetch: true                  │
│  → 自动拉取新 commit                    │
└──────────────┬──────────────────────────┘
               │ (检测到新 .md 文件)
               ▼
┌─────────────────────────────────────────┐
│  fileCreated Hook 触发                  │
│  Pattern: {report_dir}/*.md             │
│  → 启动 Agent 执行流水线                │
└──────────────┬──────────────────────────┘
               │
               ▼
┌─────────────────────────────────────────┐
│  Agent 执行 8 阶段流水线               │
│  解析 → 去重 → 决策 → 生成 → 审计      │
│  → git commit + push                    │
└──────────────┬──────────────────────────┘
               │ (git push to main)
               ▼
┌─────────────────────────────────────────┐
│  自动部署(Vercel / Cloudflare / etc)  │
│  新页面上线生产环境                      │
└─────────────────────────────────────────┘

使用场景

  • 独立站 SEO 内容持续更新(保持 Google 排名新鲜度)
  • 多站点批量内容生产
  • 关键词研究 → 页面上线的全链路自动化
  • 任何需要定期发布新 SEO 内容的项目

前置依赖

依赖说明必须?
Git 仓库GitHub / GitLab / Bitbucket✅
外部关键词报告源定期推送 .md 报告到仓库的 Agent 或脚本✅
Web 框架Next.js / Astro / Nuxt / 静态站✅
自动部署Vercel / Cloudflare Pages / Netlify✅
IDE 保持打开Kiro / Claude Code / Cursor(需要运行 hook)✅

安装方式

bash
# 方式 1: 只复制这个 skill
cp -r 7deer_skills/seo-autopilot .agent/skills/seo-autopilot

# 方式 2: 克隆整个技能库
git clone https://github.com/kennyzir/7deer_skills.git .agent/skills

启动命令

安装后,对 Agent 说:

启动 SEO autopilot,报告目录是 keyword-research/

或英文:

Set up SEO autopilot, report directory is keyword-research/

Agent 会自动执行 7 步 setup 流程。


Setup 流程(Agent 自动执行)

Step 1: 发现项目结构

Agent 需要识别:

  • 框架类型(Next.js / Astro / Nuxt / 静态)
  • 页面系统(如何创建页面)
  • 博客系统(如何存储博客文章)
  • 导航/Sitemap 注册方式
  • 现有 SEO 模式(metadata、JSON-LD、canonical)
  • 关键词报告目录位置

Step 2: 配置 Git 自动拉取

创建或更新 .vscode/settings.json:

json
{
  "git.autofetch": true,
  "git.autofetchPeriod": 120,
  "git.autoStash": true,
  "git.pullOnFetch": true
}

⚠️ 不要覆盖已有设置,只合并这些 key。

Step 3: 创建 fileCreated Hook

创建 Kiro hook 监听报告目录:

json
{
  "name": "SEO Autopilot",
  "version": "1.0.0",
  "when": {
    "type": "fileCreated",
    "patterns": ["{report_dir}/*.md"]
  },
  "then": {
    "type": "askAgent",
    "prompt": "新的关键词研究报告已检测到。按照 #seo-autopilot steering 执行完整流水线:解析报告 → 去重 → 决策页面类型 → 生成页面(最多3个) → 注册 navigation + sitemap → SEO 审计 → git commit and push → 更新 processed.json。"
  }
}

Step 4: 创建 Steering 文件

创建 .kiro/steering/seo-autopilot.md,包含完整的 8 阶段处理指令(见 references/steering-template.md)。

Step 5: 初始化状态追踪

创建 {report_dir}/processed.json:

json
{
  "processed": []
}

Step 6: 验证

  • .vscode/settings.json 已配置 autofetch + pullOnFetch
  • Hook 文件已创建
  • Steering 文件已创建
  • processed.json 已初始化
  • 至少有一份报告可用于测试

Step 7: 测试运行

用现有报告执行一次完整流水线,验证所有环节正常。


8 阶段处理流水线

Phase 0: 发现新报告

读取 processed.json → 扫描报告目录 → 过滤未处理的报告

Phase 1: 解析报告

提取 Top 关键词、搜索意图、竞争度、推荐页面类型

Phase 2: 去重

对比现有页面(navigation + blog),跳过已覆盖的关键词

Phase 3: 页面类型决策

  • Transactional / Emotional → 落地页
  • Informational → 博客文章
  • 每次报告最多生成 3 个页面

Phase 4: 内容生成

按项目现有模式生成页面代码(metadata、JSON-LD、FAQ、内链、CTA)

Phase 5: 注册

添加到 navigation 系统 + sitemap

Phase 6: SEO 审计

  • Title < 60 chars,含主关键词
  • Description < 160 chars
  • Canonical URL
  • JSON-LD WebPage + FAQ schema
  • H1 唯一且含关键词
  • 3-5 个内链
  • CTA 到主转化页面

Phase 7: 提交推送

git add → commit → push

Phase 8: 更新状态

更新 processed.json,记录已处理报告和生成的页面


关键词报告格式要求

报告为 Markdown 格式,需包含以下内容之一:

  • "Top N 关键词" 或 "推荐动作" 章节,列出关键词和优先级
  • 包含 keyword / intent / competition / action 列的表格

Agent 会自适应解析不同格式的报告。

状态追踪格式

json
{
  "processed": [
    {
      "report": "2026-04-10-keyword-research.md",
      "processedAt": "2026-04-10",
      "pagesCreated": [
        { "type": "landing", "slug": "/personalized-tarot", "keyword": "personalized tarot card generator" }
      ],
      "skipped": [
        { "keyword": "oracle card generator AI", "reason": "Already covered by /ai-oracle-card-generator" }
      ]
    }
  ]
}

适配不同框架

框架页面位置博客位置Sitemap
Next.js (App Router)app/{slug}/page.tsxlib/blog.ts 或 content/blog/*.mdxapp/sitemap.ts
Next.js (Pages Router)pages/{slug}.tsxpages/blog/[slug].tsxnext-sitemap.config.js
Astrosrc/pages/{slug}.astrosrc/content/blog/*.mdastro.config.mjs
Nuxtpages/{slug}.vuecontent/blog/*.mdnuxt.config.ts
静态 HTML{slug}/index.htmlblog/{slug}/index.htmlsitemap.xml

限制与注意事项

  • IDE 必须保持打开: Hook 只在 IDE 运行时生效
  • 每次最多 3 页: 避免内容质量下降
  • 语义去重: 不只是 URL 匹配,还要判断语义重叠
  • 不覆盖已有页面: 只创建新页面,不修改现有内容
  • 需要网络连接: git pull/push 需要网络

常见问题

问题解决方案
Hook 没触发检查 filePatterns 是否匹配报告文件名
自动 pull 不工作重启 IDE,确认 settings.json 已加载
页面风格不匹配更新 steering 文件中的示例页面引用
重复生成页面检查 processed.json 是否正确更新
git push 失败检查 git 凭证 / SSH key 配置
Build 失败确保引用的 mock 数据 / 组件在远端存在

实战案例

CardMuse.com 使用此 skill 实现了:

  • OpenClaw Agent 每 2 天生成关键词报告
  • Kiro 自动拉取 + 处理报告
  • 每次报告生成 2-3 个新 SEO 页面
  • Vercel 自动部署
  • 从报告推送到页面上线 < 5 分钟

License

MIT

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Seo Autopilot AI skill do?

全自动 SEO 内容新鲜度引擎。监听关键词研究报告目录,自动生成落地页和博客文章,运行 SEO 审计后推送更新。适用于任何需要定期更新内容以保持 Google 排名新鲜度的网站项目。支持 Next.js / Astro / Nuxt 等主流框架。

Why use Seo Autopilot on TypingMind?

Because you install it once and use it with any model. Seo Autopilot 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 Seo Autopilot in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kennyzir/7deer_skills/tree/main/seo-autopilot. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Seo Autopilot?

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 Seo Autopilot?

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

Is the Seo Autopilot AI skill free?

Yes. It is published on GitHub by kennyzir under the MIT license. 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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