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Internal Linking Optimizer

Community
ViryaZheng
internal-linking-optimizer

Use when improving internal link structure, anchor text, orphan pages, crawl depth, site architecture, or link equity flow. 内链优化/站内架构

Overview

PublisherViryaZheng
Repositoryrecomby-geo
Skill nameinternal-linking-optimizer
Stars
458
Forks
40
Bundled files
3
LicenseApache-2.0
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Internal Linking Optimizer 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/ViryaZheng/recomby-geo/tree/main/plugins/recomby-geo/skills/internal-linking-optimizer
  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/ViryaZheng/recomby-geo.git /tmp/recomby-geo
mkdir -p .claude/skills
cp -r /tmp/recomby-geo/plugins/recomby-geo/skills/internal-linking-optimizer .claude/skills/internal-linking-optimizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Internal Linking Optimizer 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 Linking Optimizer 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 Linking Optimizer 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.

Internal Linking Optimizer

Analyzes internal link structure, authority flow, orphan pages, anchor text, and topic clusters, then delivers a prioritized linking plan with source/target/anchor recommendations.

Quick Start

Start with one of these prompts, then finish with the standard handoff summary from Skill Contract.

text
Analyze internal linking structure for [domain/sitemap]
Find internal linking opportunities for [URL]
Create internal linking plan for topic cluster about [topic]
Suggest internal links for this new article: [content/URL]
Find orphan pages on [domain]
Optimize anchor text across the site

Skill Contract

Expected output: a scored diagnosis, prioritized repair plan, and a short handoff summary ready for memory/audits/.

  • Reads: the current page or site state, symptoms, prior audits, and current priorities from CLAUDE.md and the shared State Model when available.
  • Writes: a user-facing audit or optimization plan plus a reusable summary that can be stored under memory/audits/.
  • Promotes: blocking defects, repeated weaknesses, and fix priorities to memory/open-loops.md and memory/decisions.md.
  • Next handoff: use the Next Best Skill below when the repair path is clear.

Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Data Sources

Uses ~~web crawler and ~~analytics when connected; otherwise asks user for sitemap, key page URLs, and content categories. See CONNECTORS.md and SECURITY.md §Scraping Boundaries.

Instructions

When a user requests internal linking optimization:

  1. Analyze Current Structure -- Capture domain, pages analyzed, total internal links, average links/page, link distribution, top linked pages, under-linked important pages, and a structure score. Flag crawl-depth and authority-flow problems.
  2. Identify Orphan Pages -- List pages with no inbound internal links. Prioritize high-value orphans with traffic/rankings, medium-potential pages that need category/tag links, and low-value pages to delete, noindex, or redirect.
  3. Analyze Anchor Text Distribution -- Check current anchor patterns, distribution by page, over-optimization, generic anchors, and CORE-EEAT R08 alignment.

    Reference: references/linking-templates.md contains the Step 3 output template.

  4. Create Topic Cluster Link Strategy -- Map pillar/cluster links, recommend structure, and list specific links to add.

    Reference: references/linking-templates.md contains the Step 4 template.

  5. Find Contextual Link Opportunities -- For each page, identify topic-relevant source/target/anchor opportunities and prioritize high-impact additions.

    Reference: references/linking-templates.md contains the Step 5 template.

  6. Optimize Navigation and Footer Links -- Review main/footer/sidebar/breadcrumb navigation; recommend pages to add, demote, or remove.

    Reference: references/linking-templates.md contains the Step 6 template.

  7. Generate Implementation Plan -- Include executive summary, current-state metrics, phased priority actions, implementation guide, and tracking plan.

    Reference: references/linking-templates.md contains the Step 7 template.

Example

User: "Find internal linking opportunities for my blog post on 'email marketing best practices'"

Output: 5 high-value links with source paragraph, destination URL, recommended anchor text, and priority. Example targets might include list-building, subject-line, segmentation, automation, and tools pages.

Reference: See references/linking-example.md for the full worked example.

Tips for Success

  • Prioritize relevance and user navigation over link volume.
  • Use descriptive, varied anchors; avoid exact-match repetition.
  • Link important pages from hubs, navigation, or strong contextual sources.
  • Audit regularly as content grows.

Save Results

Ask to save results; if yes, write a dated summary to memory/audits/internal-linking-optimizer/YYYY-MM-DD-<topic>.md. Append veto-level issues to memory/hot-cache.md automatically.

Reference Materials

Next Best Skill

Primary: on-page-seo-auditor -- verify that revised internal links support page-level goals.

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 Linking Optimizer AI skill do?

Use when improving internal link structure, anchor text, orphan pages, crawl depth, site architecture, or link equity flow. 内链优化/站内架构

Why use Internal Linking Optimizer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ViryaZheng/recomby-geo/tree/main/plugins/recomby-geo/skills/internal-linking-optimizer. 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 Linking Optimizer?

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 Linking Optimizer?

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

Is the Internal Linking Optimizer AI skill free?

Yes. It is published on GitHub by ViryaZheng under the Apache-2.0 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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