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Seo Technical

OrganizationPopular
rampstackco
seo-technical

Run a comprehensive technical SEO audit covering crawlability, indexability, rendering, site architecture, structured data, page experience, security, and internationalization. Use this skill whenever the user asks about technical SEO, crawl issues, indexing problems, sitemaps, robots.txt, canonical tags, schema markup, page speed, Core Web Vitals, hreflang, redirects, or site-wide search performance. Triggers on technical SEO, site audit, crawlability, indexability, sitemap, robots.txt, canonical, redirect chain, schema, JSON-LD, Core Web Vitals, page speed, hreflang, mobile usability, HTTPS, security headers, render-blocking, JavaScript SEO. Also triggers when a site has indexing problems, traffic drops, or migration concerns, even if 'technical SEO' is not said explicitly.

Overview

Publisherrampstackco
Repositoryclaude-skills
Skill nameseo-technical
Stars
1K
Forks
134
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 rampstackco 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.
    https://github.com/rampstackco/claude-skills/tree/main/skills/seo-technical
  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/rampstackco/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/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 and fix the layer beneath the content: how search engines crawl, render, index, and trust a site. Stack-agnostic.


When to use

  • Site-wide audit before or after a migration
  • Investigating indexing or ranking drops
  • Setting up SEO foundations on a new site
  • Auditing Core Web Vitals or page experience signals
  • Fixing crawl waste, redirect chains, or canonical issues
  • Setting up multilingual or multi-regional sites

When NOT to use

  • Single-page on-page optimization (use seo-onpage)
  • Keyword strategy or content planning (use seo-keyword)
  • Competitor backlink or SERP analysis (use seo-competitor)
  • Pure performance optimization without SEO context (use performance-optimization)

Required inputs

  • The site URL or staging URL
  • Access to (at minimum) view the rendered HTML, robots.txt, and sitemap
  • Ideally: search console access, server logs, and a crawler

If the site is large (10K+ URLs), confirm whether the audit is a full crawl or a sample.


The framework: 6 layers

Technical SEO has six layers, stacked. A failure in a lower layer breaks everything above it.

1. Crawlability

Can search engines access the URLs?

  • robots.txt does not block important paths
  • No accidental noindex on indexable pages
  • No accidental disallow patterns blocking CSS or JS (rendering breaks)
  • Sitemap is present, returns 200, and lists canonical URLs only
  • Sitemap is referenced in robots.txt
  • No infinite spaces (faceted nav generating endless URLs)
  • Crawl budget is not wasted on low-value URLs

2. Indexability

Of crawlable URLs, which should be indexed?

  • One canonical URL per piece of content (no duplicates)
  • Canonical tags self-reference on canonical pages
  • noindex on staging, search results, filter pages, thank-you pages, internal admin
  • No mixed signals (canonical pointing one way, sitemap another, internal links a third)
  • Pagination handled correctly (rel=next/prev is deprecated, but consistent canonicals matter)
  • Parameter handling deliberate (UTM, session IDs, sort orders)

3. Rendering

Does the rendered HTML match what crawlers see?

  • Critical content visible without JavaScript (or properly server-rendered)
  • For SPAs: confirm Googlebot sees the rendered content (test with the URL Inspection tool)
  • No cloaking (showing different content to bots vs users)
  • Lazy-loaded content has proper loading attributes
  • Hydration errors do not strip content from the rendered DOM

4. Site architecture

Is the site structured for both users and crawlers?

  • Clear URL hierarchy that mirrors site structure
  • Important pages reachable in 3 clicks or fewer from the homepage
  • Internal linking distributes authority logically
  • Breadcrumb navigation present and marked up with schema
  • No orphan pages (pages with no internal links)
  • No redirect chains (one redirect max)
  • No 4xx errors on internally-linked URLs

5. Structured data and signals

Does the site speak crawler language?

  • Schema.org markup on appropriate page types
  • JSON-LD format (preferred over microdata)
  • Validates in the Rich Results Test
  • Organization or LocalBusiness schema on the homepage or about page
  • BreadcrumbList schema on nested pages
  • Author and publisher schema linked correctly on content pages
  • llms.txt present at the root (for AI crawlers, see seo-aeo-geo)

6. Page experience and security

Does the site meet the page experience baseline?

  • HTTPS on all pages, no mixed content
  • HSTS header set
  • Core Web Vitals pass (LCP, INP, CLS within thresholds)
  • Mobile-friendly (responsive, no horizontal scroll, tap targets sized correctly)
  • No intrusive interstitials on mobile
  • Stable URL structure (no random URL changes between deploys)
  • 404 pages return 404, not 200 with "page not found" content (soft 404)

Workflow

  1. Define scope. Whole site, a subfolder, a migration check, or a specific issue.
  2. Confirm access. What can you actually see (HTML, robots, sitemap, search console, server logs, staging)?
  3. Crawl. Use a crawler to enumerate URLs and statuses. Sample if the site is huge.
  4. Run the 6-layer framework. Score each, note specific issues with example URLs.
  5. Cross-reference. Search console for what's actually indexed. Compare to sitemap and crawl output.
  6. Prioritize. Critical (blocks indexing or causes traffic loss), Important (suboptimal), Nice-to-have (polish).
  7. Write the report. Use the template in references/audit-template.md.

Failure patterns

  • Optimizing rankings on a page that is noindex. Always check indexability before content work.
  • Adding sitemaps without fixing canonical issues. A sitemap of duplicate URLs is worse than no sitemap.
  • Blocking crawlers from CSS or JS. Breaks Google's rendering. Common in over-aggressive robots.txt files.
  • Over-relying on canonical tags. Canonicals are hints, not directives. Use redirects when content actually moved.
  • Migrating without a redirect map. Single biggest cause of post-migration traffic loss.
  • Treating Core Web Vitals as the only ranking signal. Page experience matters but does not override relevance.

Output format

Default output is a markdown audit at seo-technical-audit.md. Structure:

  1. Scope and methodology
  2. Executive summary (3 to 5 critical findings)
  3. 6-layer score
  4. Critical issues (with example URLs)
  5. Important issues
  6. Nice-to-have polish
  7. Implementation roadmap (sequenced)

For migrations, include a redirect map as a CSV alongside the report.


If required data is unavailable

This skill's output depends on data, measurements, or tool results it cannot generate on its own. When a required input, tool, or data source is unavailable or unverifiable, the sanctioned output is the deliverable with the gap stated: what was needed, what was actually obtained or verified, and which parts of the output are affected. Fabricating, estimating, or interpolating a required number to complete the deliverable is never sanctioned. A stated gap is a complete answer.


Reference files

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?

Run a comprehensive technical SEO audit covering crawlability, indexability, rendering, site architecture, structured data, page experience, security, and internationalization. Use this skill whenever the user asks about technical SEO, crawl issues, indexing problems, sitemaps, robots.txt, canonical tags, schema markup, page speed, Core Web Vitals, hreflang, redirects, or site-wide search performance. Triggers on technical SEO, site audit, crawlability, indexability, sitemap, robots.txt, canonical, redirect chain, schema, JSON-LD, Core Web Vitals, page speed, hreflang, mobile usability, HTT...

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/rampstackco/claude-skills/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 rampstackco 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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