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Seo Technical

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AgriciDaniel
seo-technical

Technical SEO audit across 9 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol. Use when user says "technical SEO", "crawl issues", "robots.txt", "Core Web Vitals", "site speed", or "security headers".

Overview

PublisherAgriciDaniel
Repositoryclaude-seo
Skill nameseo-technical
Stars
17.1K
Forks
2.5K
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Seo Technical 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.
  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/AgriciDaniel/claude-seo.git /tmp/claude-seo
mkdir -p .claude/skills
cp -r /tmp/claude-seo/skills/seo-technical .claude/skills/seo-technical
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Technical 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 Technical 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 Technical 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.

Technical SEO Audit

Categories

1. Crawlability

  • robots.txt: exists, valid, not blocking important resources
  • XML sitemap: run "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run sitemap_discovery.py <url> --json; require a valid entry in found, and report stale or unsafe robots.txt declarations separately from working fallback locations
  • Noindex tags: intentional vs accidental
  • Crawl depth: important pages within 3 clicks of homepage
  • JavaScript rendering: check if critical content requires JS execution
  • Crawl budget: for large sites (>10k pages), efficiency matters
  • Googlebot fetch limits: Googlebot fetches the first 2MB of HTML and first 64MB of a PDF (uncompressed; 15MB is the broader crawler-infra default). Long-standing, not a 2026 change, but inline base64 images, oversized inline CSS/JS, or bloated nav can push critical content/JSON-LD past the cap and out of the index. Keep key content + structured data within the first 2MB.
  • Crawl rate auto-adjusts (backs off on 5xx/slow responses); there is no manual crawl-rate control (the legacy Search Console setting was removed Jan 2024). Influence crawling via sitemaps, server responsiveness, and robots controls.
  • Google's canonical crawling/robots reference moved to developers.google.com/crawling (migrated 2025-11-20); IP-range files relocated to /crawling/ipranges/ and googlebot.json was renamed common-crawlers.json.
  • AMP has no separate ranking advantage. Since 2026-07-01, Google Search sends users directly to publisher-hosted AMP URLs, so do not recommend AMP Cache, AMP Viewer, or signed exchange maintenance. Audit AMP against the same content, action-parity, and quality requirements as other pages.
AI Crawler Management

As of 2025-2026, AI companies actively crawl the web to train models and power AI search. Managing these crawlers via robots.txt is a critical technical SEO consideration.

Known AI crawlers:

CrawlerCompanyrobots.txt tokenPurpose
GPTBotOpenAIGPTBotModel training (NOT ChatGPT Search)
OAI-SearchBotOpenAIOAI-SearchBotChatGPT Search citability
ChatGPT-UserOpenAIChatGPT-UserReal-time browsing (user-triggered)
ClaudeBotAnthropicClaudeBotModel training (NOT Claude search citability)
Claude-SearchBotAnthropicClaude-SearchBotClaude search-result citability
PerplexityBotPerplexityPerplexityBotSearch index + training
BytespiderByteDanceBytespiderModel training
Google-ExtendedGoogleGoogle-ExtendedGemini training (NOT search)
Applebot-ExtendedAppleApplebot-ExtendedApple Intelligence training opt-out (NOT Siri/Spotlight/Safari)
CCBotCommon CrawlCCBotOpen dataset

Key distinctions:

  • Blocking Google-Extended prevents Gemini training use but does NOT affect Google Search indexing or AI Overviews (those use Googlebot)
  • Blocking GPTBot prevents OpenAI training but does NOT affect ChatGPT Search citability, which is governed by OAI-SearchBot, nor user-triggered browsing (ChatGPT-User). Check OAI-SearchBot for any citability claim; GPTBot status is evidence about training use only
  • Blocking ClaudeBot prevents Anthropic model training but does NOT affect citability in Claude's own search features, which is governed by Claude-SearchBot (per Anthropic's crawler support article). Check Claude-SearchBot for any Claude-search citability claim; ClaudeBot status is evidence about training use only
  • Blocking Applebot-Extended opts out of Apple Intelligence / generative-model training use but does NOT affect discoverability via Siri, Spotlight, or Safari, which follows Applebot (per Apple's support article); Applebot-Extended does not itself crawl
  • ~3-5% of websites now use AI-specific robots.txt rules

Example, selective AI crawler blocking:

# Allow search indexing, block AI training crawlers
User-agent: GPTBot
Disallow: /

User-agent: Google-Extended
Disallow: /

User-agent: Bytespider
Disallow: /

# Allow all other crawlers (including Googlebot for search)
User-agent: *
Allow: /

Recommendation: Consider your AI visibility strategy before blocking. Being cited by AI systems drives brand awareness and referral traffic. Cross-reference the seo-geo skill for the full AI crawler/fetcher taxonomy.

User-triggered fetchers ignore robots.txt by design. Google now documents Google-Agent (Project Mariner, agentic browsing) plus Google-NotebookLM and Google Messages as user-triggered fetchers that cannot be blocked via robots.txt. Use server-side access controls instead. By contrast, Google-Extended and Google-CloudVertexBot obey robots.txt. Emerging: Web Bot Auth (RFC 9421) lets bots authenticate cryptographically via a Signature-Agent header + key directory at agent.bot.goog (used by Google-Agent); reverse-DNS verification remains the fallback.

2. Indexability

  • Canonical tags: self-referencing, no conflicts with noindex
  • Duplicate content: near-duplicates, parameter URLs, www vs non-www
  • Canonicalization fixes can take time: Google may retain corrected pages in a duplicate cluster for up to two weeks while re-evaluating them. Do not interpret an unchanged canonical immediately after a fix as proof that the fix failed.
  • Thin content: pages below minimum word counts per type
  • Pagination: rel=next/prev or load-more pattern
  • Hreflang: correct for multi-language/multi-region sites
  • Index bloat: unnecessary pages consuming crawl budget

3. Security

  • HTTPS: enforced, valid SSL certificate, no mixed content
  • Security headers:
    • Content-Security-Policy (CSP)
    • Strict-Transport-Security (HSTS)
    • X-Frame-Options
    • X-Content-Type-Options
    • Referrer-Policy
  • HSTS preload: check preload list inclusion for high-security sites
  • Back-button hijacking (spam-policy violation, malicious practices): flag pages that defeat the Back button via history.pushState/replaceState (including scripts injected by third-party ad/library platforms). Added to Google's spam policies 2026-04-13; enforcement live since 2026-06-15 (manual actions + automated demotions): treat as Critical.

4. URL Structure

  • Clean URLs: descriptive, hyphenated, no query parameters for content
  • Hierarchy: logical folder structure reflecting site architecture
  • Redirects: no chains (max 1 hop), 301 for permanent moves
  • URL length: flag >100 characters
  • Trailing slashes: consistent usage

5. Mobile Optimization & Page Experience

  • Responsive design: viewport meta tag, responsive CSS
  • Touch targets: minimum 48x48px with 8px spacing
  • Font size: minimum 16px base
  • No horizontal scroll
  • Mobile-first indexing: Googlebot Smartphone is the primary crawler (rollout completed 2024). A mobile version is not strictly required (Google says "very strongly recommended"), sites that don't work on mobile can still be indexed, but the real risk is content/parity loss, not hard exclusion.
  • Mobile/desktop content parity (highest-value mobile check): equivalent primary content, matching robots meta tags, matching titles/descriptions, equivalent structured data, crawlable resources; avoid lazy-loading primary content that requires user interaction.
  • Intrusive interstitials / ad density: flag full-page interstitials, standalone consent-redirect pages, persistent blocking dialogs, and excessive/distracting ad density (a named page-experience aspect). Acceptable: small banners, standard CMS/legal dialogs.
  • "Read more" deep links: keep key content immediately visible on load (not behind tabs/accordions), don't hijack scroll on load, and preserve URL hash fragments, content hidden behind expandable sections is less likely to qualify.

Page experience is guidance, not a single ranking system. Only Core Web Vitals feeds ranking directly; HTTPS is a confirmed but lightweight signal (affects <~1% of queries). Relevance can still win even when page experience is sub-par, so don't over-weight security headers. Note: the standalone Page Experience report was removed from Search Console (monitor via the Core Web Vitals + HTTPS reports).

6. Core Web Vitals

  • LCP (Largest Contentful Paint): target <=2.5s
  • INP (Interaction to Next Paint): target <=200ms
    • INP replaced FID on March 12, 2024. FID was removed from Chrome's field-data tools (CrUX API, PageSpeed Insights) on September 9, 2024 (Lighthouse is a lab tool that never reported FID). Do NOT reference FID anywhere.
  • CLS (Cumulative Layout Shift): target <=0.1
  • Evaluation uses 75th percentile of real user data
  • Use PageSpeed Insights API or CrUX data if MCP available

7. Structured Data

  • Detection: JSON-LD (preferred), Microdata, RDFa
  • Validation against Google's supported types
  • See seo-schema skill for full analysis

8. JavaScript Rendering

  • Check if content visible in initial HTML vs requires JS
  • Identify client-side rendered (CSR) vs server-side rendered (SSR)
  • Flag SPA frameworks (React, Vue, Angular) that may cause indexing issues
  • If dynamic rendering is detected, flag it as technical debt rather than a valid setup. Google documents it as "a workaround and not a recommended solution" because of the added complexity and resource cost. See https://developers.google.com/search/docs/crawling-indexing/javascript/dynamic-rendering

Recommended rendering strategy:

StrategyUse Case
SSRPublic SEO content, dynamic pages
SSGStatic content, blogs, docs
CSRAuthenticated / behind-login content only

Preferred frameworks: Next.js, Astro, React Router v7 (Remix), SvelteKit

JavaScript SEO: Canonical & Indexing Guidance (December 2025)

Google updated its JavaScript SEO documentation in December 2025 with critical clarifications:

  1. Canonical conflicts: If a canonical tag in raw HTML differs from one injected by JavaScript, Google may use EITHER one. Ensure canonical tags are identical between server-rendered HTML and JS-rendered output.
  2. noindex with JavaScript: If raw HTML contains <meta name="robots" content="noindex"> but JavaScript removes it, Google MAY still honor the noindex from raw HTML. Serve correct robots directives in the initial HTML response.
  3. Non-200 status codes: Google does NOT render JavaScript on pages returning non-200 HTTP status codes. Any content or meta tags injected via JS on error pages will be invisible to Googlebot.
  4. Structured data in JavaScript: Product, Article, and other structured data injected via JS may face delayed processing. For time-sensitive structured data (especially e-commerce Product markup), include it in the initial server-rendered HTML.

Best practice: Serve critical SEO elements (canonical, meta robots, structured data, title, meta description) in the initial server-rendered HTML rather than relying on JavaScript injection.

9. IndexNow Protocol

  • Check if site supports IndexNow for Bing, Yandex, Naver
  • Supported by search engines other than Google
  • Recommend implementation for faster indexing on non-Google engines

Agent-Friendly Pages & Agentic Browsing

AI agents (not just AI summarizers) increasingly read sites through three channels: vision models on screenshots, raw HTML/DOM, and the accessibility tree (the cleanest signal). Audit criteria: semantic HTML (real <button> and <a>, not <div onclick>), label associations, interactive target sizing, layout stability across templates, cursor: pointer correctness, live in references/agent-friendly-pages.md.

Google now ships a Lighthouse Agentic Browsing category (default-on since Lighthouse 13.3.0, Chrome 150+; buckets: agent-centric accessibility, CLS + llms.txt, three WebMCP audits). It reports a fractional pass-ratio (X of N), not a 0-100 score, keep that distinct from this skill's own Agent-UX 0-100 heuristic below. Lighthouse 13.4.1 re-enabled the category through the PSI API. It is also available through Lighthouse CLI with --only-categories=agentic-browsing, DevTools, and the PSI web UI. See references/agent-friendly-pages.md.

Audit command

bash
# Render with Playwright + capture accessibility tree, then score
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run agent_ux_check.py https://example.com --json

The scanner outputs an Agent-UX score (0-100) plus itemized issues:

  • HTML findings: real buttons / anchors, <div onclick> widgets, semantic landmarks, inputs without <label for>, inputs without ARIA labels
  • Accessibility tree findings: total nodes, interactive nodes, unnamed interactive elements, role="generic" ratio

The accessibility-tree snapshot uses Chromium's Accessibility.getFullAXTree CDP command through Playwright. To capture the tree without scoring, use "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run render_page.py <url> --a11y-tree --json.

Surface findings as opportunities, not failures; don't gate audits on a sub-100 Agent-UX score. WebMCP origin-trial/sign-up status needs verification, and absence of WebMCP support is still an opportunity, not a defect.

Output

Technical Score: XX/100

Category Breakdown

CategoryStatusScore
Crawlabilitypass/warn/failXX/100
Indexabilitypass/warn/failXX/100
Securitypass/warn/failXX/100
URL Structurepass/warn/failXX/100
Mobilepass/warn/failXX/100
Core Web Vitalspass/warn/failXX/100
Structured Datapass/warn/failXX/100
JS Renderingpass/warn/failXX/100
IndexNowpass/warn/failXX/100

Critical Issues (fix immediately)

High Priority (fix within 1 week)

Medium Priority (fix within 1 month)

Low Priority (backlog)

DataForSEO Integration (Optional)

If DataForSEO MCP tools are available, use on_page_instant_pages for real page analysis (status codes, page timing, broken links, on-page checks), on_page_lighthouse for Lighthouse audits (performance, accessibility, SEO scores), and domain_analytics_technologies_domain_technologies for technology stack detection.

Google API Integration (Optional)

If Google API credentials are configured, use "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run pagespeed_check.py <url> --json for real PSI + CrUX field data (replaces lab-only CWV estimates), "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run crux_history.py <url> --json for 25-week CWV trends, and "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run gsc_inspect.py <url> --json for real indexation status per URL.

Auditing a Local or Private Host

url_safety refuses loopback and private addresses by default, so http://localhost:3000 and a staging host on Tailscale fail with "Blocked hostname" or "Blocked IP literal". That default is deliberate: these scripts follow URLs found on the pages they crawl.

To audit a pre-deployment host, the operator names it in CLAUDE_SEO_LOCAL_TARGETS, a comma-separated list of host or host:port entries:

bash
CLAUDE_SEO_LOCAL_TARGETS="localhost:3000,127.0.0.1:8080,100.101.102.103" \
  "${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run fetch_page.py http://localhost:3000/

What it does and does not cover:

BehaviourAllowlisted host
First, top-level URL over raw HTTPAllowed
Redirect target reached from that URLRefused
Subresource fetched by a rendered pageRefused
Playwright renders (--render, screenshots)Refused; use the raw-HTTP path
A host not named in the variableRefused
Cloud metadata endpoints, even when listedRefused

host:port matches that port only; a bare host matches any port. With the variable unset the policy is unchanged. Never suggest setting it for a host the user does not control. See SECURITY.md.

Error Handling

ScenarioAction
URL unreachableReport connection error with status code. Suggest verifying URL, checking DNS resolution, and confirming the site is publicly accessible.
robots.txt not foundNote that no robots.txt was detected at the root domain. Recommend creating one with appropriate directives. Continue audit on remaining categories.
HTTPS not configuredFlag as a critical issue. Report whether HTTP is served without redirect, mixed content exists, or SSL certificate is missing/expired.
Core Web Vitals data unavailableNote that CrUX data is not available (common for low-traffic sites). Suggest using Lighthouse lab data as a proxy and recommend increasing traffic before re-testing.

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 Technical AI skill do?

Technical SEO audit across 9 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol. Use when user says "technical SEO", "crawl issues", "robots.txt", "Core Web Vitals", "site speed", or "security headers".

Why use Seo Technical on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/claude-seo/tree/main/skills/seo-technical. 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 Technical?

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 Technical?

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

Is the Seo Technical AI skill free?

Yes. It is published on GitHub by AgriciDaniel 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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