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seo-audit

@affitor · 收录于 2 天前 · 上游提交 1 个月前

Audit affiliate blog posts and landing pages for SEO issues. Triggers on: "audit my blog post for SEO", "check my SEO", "SEO review", "improve my rankings", "SEO checklist", "on-page SEO audit", "keyword optimization check", "why isn't my page ranking", "SEO score", "content quality audit", "check my meta tags", "internal linking audit", "quick SEO wins".

适合你,如果你需要提升博客或落地页的搜索引擎排名

/ 通过 npx 安装 校验哈希
npx oh-my-skill add affitor/affiliate-skills/seo-audit
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- affitor/affiliate-skills/seo-audit
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify affitor/affiliate-skills/seo-audit
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 ed17ef3 · 表述以原文为准
它做什么

装上后,Claude能审核你的博客文章或落地页的SEO问题,分析关键词、元标签、内容质量等,输出10维度评分卡和按优先级排序的修复清单。

什么时候触发

当你说出“audit my blog post for SEO”、“check my SEO”等触发短语,或要求做SEO审核时接管。

装好后可以这样说
Claude会输出评分卡和修复清单
Claude会分析并给出建议
Claude会诊断问题并提供修复
技能原文 SKILL.md作者撰写 · MIT · ed17ef3

SEO Audit

Audit affiliate blog posts and landing pages for SEO issues — on-page optimization, keyword usage, meta tags, content quality signals, affiliate link attributes, and internal linking. Output is a 10-dimension SEO scorecard with a prioritized fix-it checklist.

Stage

S6: Analytics — 53% of all website traffic comes from organic search. For affiliate bloggers, SEO is the most sustainable traffic source — but most affiliate content has basic SEO mistakes that tank rankings. This skill catches those mistakes and provides quick wins.

When to Use
  • User has a blog post or landing page and wants an SEO review
  • User asks "why isn't my page ranking?" or "check my SEO"
  • User wants to improve search rankings for affiliate content
  • User says "SEO audit", "SEO checklist", "on-page optimization"
  • User wants to check affiliate link attributes (nofollow, sponsored)
  • Chaining from S3 (blog) or S4 (landing): audit content before or after publishing
Input Schema
content: string                # REQUIRED — the content to audit (markdown, HTML, or URL)
                               # If URL, will attempt to fetch and analyze

target_keyword: string         # REQUIRED — primary keyword to optimize for
                               # (e.g., "best AI video tools", "HeyGen review")

content_type: string           # OPTIONAL — "blog_post" | "landing_page"
                               # Default: "blog_post"

competitor_urls:               # OPTIONAL — competitor pages to compare against
  - string                     # e.g., ["competitor.com/heygen-review"]

secondary_keywords:            # OPTIONAL — additional keywords to check
  - string                     # e.g., ["AI video generator", "HeyGen pricing"]

Chaining context: If S3 (blog) or S4 (landing page) was run in the same conversation, pull the generated content directly for audit. The user should not have to paste content just generated.

Workflow
Step 1: Analyze Content Structure

Check:

  • Word count: Is it competitive? (blog: 1500+ words, landing: varies)
  • Heading structure: H1 present and unique? H2/H3 hierarchy logical?
  • Paragraph length: Short paragraphs for readability?
  • Content depth: Does it cover the topic comprehensively?
Step 2: Check Keyword Usage

Analyze:

  • Title tag: Contains target keyword? Under 60 characters?
  • H1: Contains target keyword?
  • First 100 words: Keyword appears naturally?
  • Keyword density: 1-2% optimal (not stuffing, not absent)
  • Keyword in subheadings: At least one H2 contains keyword or variant?
  • LSI keywords: Related terms present for topical depth?
Step 3: Evaluate Meta Tags

Check:

  • Title tag length: 50-60 characters optimal
  • Meta description: Present? 150-160 characters? Contains keyword? Compelling?
  • OG tags: Open Graph tags for social sharing
  • Canonical URL: Present and correct?
Step 4: Check E-E-A-T Signals

Evaluate:

  • Experience: First-person experience with the product?
  • Expertise: Author credentials or demonstrated knowledge?
  • Authoritativeness: Citing sources, linking to official pages?
  • Trustworthiness: Transparent disclosure, balanced (pros AND cons)?
Step 5: Check Affiliate Link Attributes

Verify:

  • All affiliate links have rel="nofollow sponsored" (Google requirement)
  • Links are not cloaked in a way that violates search guidelines
  • FTC disclosure is present and above the fold
  • Links open in new tab (target="_blank") for UX
Step 6: Check Internal Linking

Evaluate:

  • Links to related content on the same site?
  • Anchor text is descriptive (not "click here")?
  • Table of contents for long content?
Step 7: Score on 10 Dimensions

Rate each 1-10:

  1. Keyword optimization
  2. Content depth and quality
  3. Title tag and meta description
  4. Heading structure
  5. E-E-A-T signals
  6. Affiliate link compliance
  7. Internal linking
  8. Readability and formatting
  9. Mobile friendliness indicators
  10. Technical SEO basics
Step 8: Generate Fix-It Checklist

Prioritize fixes by impact:

  • Quick wins: Fix in 5 minutes, big impact (meta tags, keyword in H1)
  • Medium effort: Fix in 30 minutes (add sections, improve depth)
  • Major revision: Fix in 2+ hours (restructure content, add original research)
Step 9: Self-Validation

Before presenting output, verify:

  • [ ] All 10 SEO dimensions scored (1-10 each)
  • [ ] Overall score is weighted sum of dimension scores
  • [ ] Issues prioritized: quick_win → medium → major
  • [ ] Each fix is specific and actionable (not generic advice)
  • [ ] Keyword density recommendation is 1-2% (not higher)

If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.

Output Schema
output_schema_version: "1.0.0"  # Semver — bump major on breaking changes
audit:
  url_or_title: string
  target_keyword: string
  overall_score: number        # out of 100 (sum of 10 dimensions × 10)
  word_count: number

scores:
  - dimension: string
    score: number              # 1-10
    status: string             # "good" | "needs_work" | "critical"
    notes: string

issues:
  - priority: string           # "quick_win" | "medium" | "major"
    dimension: string
    issue: string
    fix: string                # specific action to take
    impact: string             # "high" | "medium" | "low"

checklist:
  - task: string
    priority: string
    done: boolean              # always false (user checks off)
Output Format
  1. SEO Scorecard — table with 10 dimensions, scores, and status
  2. Overall Score — X/100 with assessment (Excellent >80, Good 60-80, Needs Work 40-60, Critical <40)
  3. Quick Wins — fixes that take <5 minutes and have high impact
  4. Full Fix-It Checklist — all issues ordered by priority with specific actions
  5. Competitor Comparison — brief notes if competitor URLs were provided
Error Handling
  • No content provided: "Paste the content of your blog post or landing page. I'll audit it for SEO issues and give you a prioritized fix-it list."
  • No target keyword: "What keyword are you trying to rank for? (e.g., 'HeyGen review', 'best AI video tools'). This helps me check keyword usage and optimization."
  • Content is too short (<300 words): "This content is quite short (X words). For competitive keywords, aim for 1,500+ words. I'll audit what's here, but content depth is likely your biggest SEO issue."
  • URL provided but cannot be fetched: "I couldn't fetch that URL. Paste the page content directly and I'll audit it."
Examples
Example 1: Blog post with common issues

User: "Audit this blog post for 'best AI video tools': [pastes 2000-word blog post]" Action: Score each dimension. Common findings: keyword not in H1 (fix: add to title), affiliate links missing rel="nofollow sponsored" (fix: add attributes), no meta description (fix: write one), thin intro section (fix: expand first paragraph). Overall score: 62/100. Quick wins: meta description, H1 keyword, link attributes.

Example 2: Landing page audit

User: "Check the SEO on my HeyGen landing page" [content from S4 in conversation] Action: Pull landing page content from S4 output. Note: landing pages are typically not SEO-optimized (they're conversion-focused). Score accordingly — different expectations for landing pages vs blog posts. Focus on: title tag, meta description, canonical, affiliate link compliance.

Example 3: Competitive comparison

User: "Audit my Semrush review and compare to these competitor pages: [competitor URLs]" Action: Audit user's content first. Then use web_search or web_browse to analyze competitor content structure (word count, headings, topics covered). Identify content gaps — topics competitors cover that the user doesn't. Recommend additions to improve competitiveness.

References
  • shared/references/ftc-compliance.md — FTC disclosure requirements for affiliate content. Checked in Step 5.
  • shared/references/affiliate-glossary.md — SEO and affiliate terminology. Referenced throughout.
  • shared/references/flywheel-connections.md — master flywheel connection map
Flywheel Connections
Feeds Into
  • monopoly-niche-finder (S1) — ranking data reveals niches you're already winning in
  • keyword-cluster-architect (S3) — ranking gaps reveal keyword opportunities
  • content-decay-detector (S3) — declining pages to investigate
  • internal-linking-optimizer (S6) — link structure issues to fix
Fed By
  • github-pages-deployer (S5) — deployed site URL to audit
  • affiliate-blog-builder (S3) — published articles to audit
Feedback Loop
  • SEO audit results feed back to S3 Blog (content improvements) and S1 Research (niche opportunities from ranking data) — closing the SEO flywheel
chain_metadata:
  skill_slug: "seo-audit"
  stage: "analytics"
  timestamp: string
  suggested_next:
    - "content-decay-detector"
    - "internal-linking-optimizer"
    - "keyword-cluster-architect"
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