Internal Links logo

Internal Links

Community
jiaxiaojunQAQ
internal-links

When the user wants to optimize internal linking, fix orphan pages, or improve link structure. Also use when the user mentions "internal links," "internal linking," "anchor text," "link equity," "internal linking strategy," or "orphan pages."

Overview

PublisherjiaxiaojunQAQ
RepositorySkillJect
Skill nameinternal-links
Stars
79
Forks
8
Bundled files
1
Links
Skill sourceRepository
  • 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 jiaxiaojunQAQ on GitHub. Read the source before you install it.

Installation

Install the Internal Links 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/jiaxiaojunQAQ/SkillJect.git /tmp/SkillJect
mkdir -p .claude/skills
cp -r /tmp/SkillJect/data/skills_sample/internal-links-1.0.0 .claude/skills/internal-links
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Internal Links 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 Internal Links 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 Internal Links 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 On-Page: Internal Links

Guides internal linking strategy for SEO: crawlability, link equity distribution, and user navigation.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Scope (On-Page SEO)

  • Internal links: Contextual links; descriptive anchor text; related posts; hub pages
  • Breadcrumbs: Implement for large sites (e.g. ecommerce); see breadcrumb-generator

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for site structure and key pages.

Identify:

  1. Site structure: Hub pages, pillar content, supporting pages
  2. Orphan pages: Pages with no or few internal links
  3. Priority pages: Pages that need more link equity

Best Practices

Link Structure

PrincipleGuideline
DepthImportant pages within 3 clicks from homepage
Orphan pagesAvoid; ensure every page has at least one internal link; see site-crawlability for technical detection and crawl issues
Hub-to-spokeLink from hub/pillar pages to cluster articles; topic cluster structure
ContextualPlace links in relevant body content, not just footers

Anchor Text

PrincipleGuideline
DescriptiveUse anchor text that describes the target page
VariationAvoid over-optimization; use natural variation
KeywordInclude target keyword when natural

Placement

LocationUse
First paragraphPrimary link to related content
BodyContextual links throughout
Related/RecommendedEnd-of-article links
NavigationKey site sections

Common Issues

IssueFix
Orphan pagesAdd internal links from hub pages or navigation; site-crawlability for technical audit
Too many linksFocus on most important; avoid link stuffing
Generic anchorsUse descriptive "learn more about X" instead of "click here"
Broken linksAudit and fix 404s; see site-crawlability for technical audit

Output Format

  • Internal link audit (if auditing)
  • Link opportunities for key pages
  • Anchor text recommendations
  • Structure improvements

Related Skills

  • article-page-generator: Related posts, contextual links, end-of-article recommendations
  • website-structure: Plan page structure and hierarchy; informs internal linking
  • site-crawlability: Internal links enable crawling
  • url-structure: URL structure affects link patterns
  • content-strategy: Topic clusters inform link structure; pillar <-> cluster; cluster <-> cluster
  • breadcrumb-generator: Breadcrumbs are internal links; category hierarchy

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 Internal Links AI skill do?

When the user wants to optimize internal linking, fix orphan pages, or improve link structure. Also use when the user mentions "internal links," "internal linking," "anchor text," "link equity," "internal linking strategy," or "orphan pages."

Why use Internal Links on TypingMind?

Because you install it once and use it with any model. Internal Links 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 Internal Links in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jiaxiaojunQAQ/SkillJect/tree/main/data/skills_sample/internal-links-1.0.0. 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 Internal Links?

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 Internal Links?

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

Is the Internal Links AI skill free?

It is published on GitHub by jiaxiaojunQAQ. Check the repository for licensing terms. 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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