SEO 内容工厂:自动化 SEO 内容流水线 - Openclaw Skills
作者:互联网
2026-03-29
什么是 SEO 内容工厂?
SEO 内容工厂是一个高级自动化技能,旨在处理内容创作的全生命周期,从初始关键词研究到可发布的 Markdown 和 HTML。通过集成实时网络搜索和竞品分析,该工具确保生成的每一篇文章不仅是 AI 生成的,而且是经过战略工程设计以在搜索引擎上排名的。它利用复杂的 Openclaw Skills 来识别搜索意图,分析前 5 个 SERP 结果中的内容差距,并应用严格的 E-E-A-T(经验、专业知识、权威性和可信度)信号。
该技能超越了简单的文本生成,通过精确的关键词布局、可读性优化以及技术性页面 SEO 元素(如 JSON-LD 架构标记和内部链接建议)来构建内容。无论您是建立利基网站还是管理高交易量的内容机构,该工具都能简化专业级数字营销的工作流程。
下载入口:https://github.com/openclaw/skills/tree/main/skills/seanwyngaard/seo-content-factory
安装与下载
1. ClawHub CLI
从源直接安装技能的最快方式。
npx clawhub@latest install seo-content-factory
2. 手动安装
将技能文件夹复制到以下位置之一
全局模式~/.openclaw/skills/
工作区
/skills/
优先级:工作区 > 本地 > 内置
3. 提示词安装
将此提示词复制到 OpenClaw 即可自动安装。
请帮我使用 Clawhub 安装 seo-content-factory。如果尚未安装 Clawhub,请先安装(npm i -g clawhub)。
SEO 内容工厂 应用场景
- 为利基网站自动生成大量博客文章。
- 进行深度竞品研究,寻找特定 SERP 中的内容空白。
- 为有特定字数要求的客户生成 SEO 优化的文章。
- 批量处理关键词列表,构建完整的专题权威地图。
- 创建带有嵌入式架构标记和元数据的技术内容。
- 通过搜索目标关键词初始化,以识别搜索意图和当前的 SERP 格局。
- 对前 5 个结果进行竞品分析,识别内容差距和常见的子主题结构。
- 构建详细的内容大纲(H1-H3),包括引子、独特角度和常见问题解答(FAQ)部分。
- 遵循严格的关键词密度(1-2%)、可读性和 E-E-A-T 信号的 SEO 规则执行写作阶段。
- 生成技术性页面元素,包括元描述、URL 别名以及内部/外部链接建议。
- 以干净的 Markdown 和兼容 WordPress 的 HTML 格式输出最终内容。
SEO 内容工厂 配置指南
要将其集成到您的环境中,请确保在您的智能体配置中启用了必要的搜索和获取工具。
# 生成单篇文章的示例命令
/seo-content-factory "best project management tools for freelancers" 2000
# 从文件运行批量处理的示例命令
/seo-content-factory batch keywords.txt
SEO 内容工厂 数据架构与分类体系
该技能将其输出组织成结构化格式,以确保符合 SEO 标准并易于发布。
| 数据点 | 描述 |
|---|---|
| 干净的 Markdown | 为 Ghost、Hugo 或 Jekyll 等静态网站生成器优化。 |
| WordPress HTML | 包括标题标签、嵌入式 JSON-LD 架构和注释中的元标签。 |
| SEO 元数据 | 包含标题标签、元描述和 URL 别名的 JSON 对象。 |
| 架构标记 | 适用于 Article、FAQ 或 HowTo 结构的有效 JSON-LD。 |
| 批量摘要 | 映射关键词、字数和内部链接结构的索引文件。 |
name: seo-content-factory
description: Generate fully SEO-optimized blog posts and articles with keyword research, competitor analysis, and SERP-aware content. Use when creating SEO content, blog posts, articles, or content for clients.
argument-hint: "[keyword-or-topic] [word-count]"
allowed-tools: Read, Write, Grep, Glob, Bash, WebFetch, WebSearch
SEO Content Factory
End-to-end SEO content pipeline: from keyword to publish-ready article. Produces content that ranks.
How to Use
/seo-content-factory "best project management tools for freelancers" 2000
/seo-content-factory "how to start a dropshipping business"
/seo-content-factory batch keywords.txt
$ARGUMENTS[0]= Target keyword or topic (or "batch" for multiple)$ARGUMENTS[1]= Word count (default: 1,500)- For batch mode, provide a file with one keyword per line
Content Generation Pipeline
Phase 1: Keyword Intelligence
For the target keyword $ARGUMENTS[0]:
- Search the keyword to understand current SERP landscape
- Identify:
- Search intent (informational, transactional, navigational, commercial)
- Content format that ranks (listicle, how-to, comparison, guide, review)
- Average word count of top 5 results
- Common subtopics and questions covered
- Related keywords and LSI terms
- Generate a keyword cluster:
- Primary keyword
- 3-5 secondary keywords
- 5-10 long-tail variations
- 3-5 related questions (People Also Ask style)
Phase 2: Competitor Content Analysis
Analyze top 5 SERP results for the target keyword:
- Content gaps: What do ALL top results miss? This is our opportunity.
- Common structure: How are they organized? (H2/H3 patterns)
- Unique angles: What perspective hasn't been covered?
- Content freshness: Are top results outdated? Can we provide 2026 data?
- Backlink bait: What makes content in this niche linkable?
Phase 3: Content Architecture
Build the article structure BEFORE writing:
Title: [Primary keyword + compelling modifier]
Meta Description: [150-160 chars, includes primary keyword, has CTA]
URL Slug: [primary-keyword-short-form]
H1: [Title]
Introduction (100-150 words)
- Hook with statistic or question
- Promise what the reader will learn
- Include primary keyword naturally
H2: [Section based on search intent]
H3: [Subsection]
H3: [Subsection]
H2: [Section covering competitor gap]
H3: [Subsection]
H2: [Unique angle section]
H2: [FAQ section - from People Also Ask]
H3: [Question 1]
H3: [Question 2]
H3: [Question 3]
Conclusion (100-150 words)
- Summarize key takeaways
- Clear CTA
Phase 4: Content Writing
Write the article following these SEO content rules:
Keyword Placement (non-negotiable):
- Primary keyword in: title, H1, first 100 words, 1-2 H2s, last 100 words, meta description
- Keyword density: 1-2% (natural, never forced)
- Secondary keywords: 1-2 uses each, spread throughout
- Long-tail variations: use naturally in body and H3s
Readability:
- Flesch-Kincaid grade level: 6-8 (accessible to all readers)
- Sentences: max 20 words average
- Paragraphs: max 3-4 sentences
- Use bullet points and numbered lists liberally
- Include a table or comparison if the topic allows
- Break up text with H2 every 200-300 words
Engagement:
- Open with a hook (statistic, question, bold claim)
- Use "you" and "your" throughout (conversational tone)
- Include specific numbers and data points
- Add actionable takeaways (not just information)
- End sections with transitions to the next
E-E-A-T Signals (Experience, Expertise, Authoritativeness, Trustworthiness):
- Include first-person experience markers ("In my experience...", "When I tested...")
- Reference specific tools, processes, or methodologies by name
- Cite statistics with implied sources
- Provide nuanced opinions, not just generic advice
Phase 5: On-Page SEO Elements
Generate these alongside the article:
title_tag: "[Primary Keyword] - [Modifier] | [Brand]" (50-60 chars)
meta_description: "[Benefit statement with primary keyword and CTA]" (150-160 chars)
url_slug: "[primary-keyword]"
primary_keyword: "[keyword]"
secondary_keywords: ["kw1", "kw2", "kw3"]
word_count: [actual count]
reading_time: "[X] min read"
content_type: "[listicle|how-to|guide|comparison|review]"
search_intent: "[informational|transactional|commercial|navigational]"
Internal linking suggestions: 3-5 recommended internal link anchor texts and target topics External linking suggestions: 2-3 authoritative sources to cite Image suggestions: 3-5 image descriptions with recommended alt text containing keywords Schema markup: Provide appropriate schema (Article, FAQ, HowTo) in JSON-LD format
Phase 6: Output Format
Deliver the final article in TWO formats:
- Clean Markdown — for CMS systems, Ghost, Hugo, Jekyll
- WordPress-ready HTML — with proper heading tags, schema markup embedded, and meta tags as HTML comments at the top
Batch Mode
When $ARGUMENTS[0] is "batch", read the keyword file from $ARGUMENTS[1] and generate articles for each keyword. For each article:
- Run the full pipeline above
- Save each article as
output/[url-slug].mdandoutput/[url-slug].html - Generate an index file
output/batch-summary.mdwith:- All articles generated
- Primary and secondary keywords for each
- Word counts
- Suggested publishing order (based on keyword difficulty — easier first)
- Internal linking map between the articles
Quality Checks
Before delivering, verify:
- Primary keyword appears in title, H1, first 100 words, meta description
- Keyword density is 1-2% (not stuffed)
- All H2/H3 headings are descriptive (not "Introduction" or "Conclusion")
- FAQ section uses actual questions people search for
- Article is longer than average competing content
- At least one table, list, or visual element per 500 words
- Schema markup is valid JSON-LD
- Meta description is 150-160 characters
- Title tag is 50-60 characters
- No fluff paragraphs — every paragraph earns its place
相关推荐
专题
+ 收藏
+ 收藏
+ 收藏
+ 收藏
+ 收藏
最新数据
相关文章
行动建议器:人工智能驱动的潜客跟进建议 - Openclaw Skills
会话成本追踪器:优化 Token 投资回报率 - Openclaw Skills
Memoria: AI 智能体结构化记忆系统 - Openclaw Skills
Deno 运行时专家:安全 TypeScript 开发 - Openclaw Skills
为 AI 代理部署 Spark Bitcoin L2 代理 - Openclaw Skills
加密货币价格技能:实时市场数据集成 - Openclaw Skills
Happenstance:专业人脉搜索与研究 - Openclaw Skills
飞书日历技能:通过 Openclaw Skills 自动化日程安排
顾问委员会:多人格 AI 加密货币分析 - Openclaw Skills
CRIF:面向 AI Agent 的加密深度研究框架 - Openclaw Skills
AI精选
