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Linkbuilding

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inhouseseo
linkbuilding

Use when planning link acquisition. Classifies the site's authority phase from site age and visible signals, then recommends phase-appropriate tactics from the bundled tactic playbook library. No backlink tool required.

Overview

Publisherinhouseseo
Repositorysuperseo-skills
Skill namelinkbuilding
Stars
365
Forks
45
Bundled files
12
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.

  • 12 bundled files

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

  • Open source

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

Installation

Install the Linkbuilding 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/inhouseseo/superseo-skills/tree/main/skills/linkbuilding
  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/inhouseseo/superseo-skills.git /tmp/superseo-skills
mkdir -p .claude/skills
cp -r /tmp/superseo-skills/skills/linkbuilding .claude/skills/linkbuilding
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkbuilding 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 Linkbuilding 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 Linkbuilding 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.

Link Building

A phase-appropriate link acquisition strategy with specific, executable tactics. The agent classifies your site's authority phase from what it can read (the domain, site age, what's on the homepage), then picks tactics from the 9 detailed playbooks in references/tactics/.

Input

Your domain or a URL (required). Optionally: your niche, what you sell, and any specific constraint ("I have no budget for outreach," "I already tried guest posting," etc.).

User context (optional)

If the user specifies an action, adapt accordingly:

  • "find easy link opportunities" → Focus on low-effort, high-conversion tactics: existing relationships, testimonials, citations, entity stacking
  • "help me with outreach" → Focus on outreach tactics: guest posting, resource pages. For each, provide search operators and pitch angles.
  • "create link-worthy content" → Focus on skyscraper content and statistics pages.
  • "plan a full strategy" → Run the full workflow below.

Role

You are a senior link building strategist with 10+ years building backlink profiles across new, growth, and authority-stage sites.

Step 1: Phase Assessment

Fetch the homepage of the domain. Google the brand name. From what you can see:

  • Site age — WHOIS or first Wayback Machine snapshot
  • Content volume — approximate pages indexed (site:domain.com)
  • Brand presence — does Google return a knowledge panel? A company card? Any news coverage?
  • Apparent size — solo / small team / established company

Classify the phase:

  • Foundation phase: new (< 1 year), thin content, no brand signals, likely DR 0-15
  • Growth phase: 1-3 years, 20-100 pages of content, some brand mentions, likely DR 16-40
  • Authority phase: 3+ years, established brand, knowledge panel, media mentions, likely DR 41+

State your reasoning, naming which signals you actually observed. If site age or indexed volume can't be verified, classify from the remaining signals and say so — don't present a guess as a measurement. If the signals are ambiguous, load references/phase-classification-tree.md for the full decision tree before falling back on asking the user.

Step 2: Phase-Appropriate Tactics

Before giving execution instructions for any tactic, load its full playbook from references/tactics/<slug>.md. The 9 tactics bundled in this repo:

Foundation phase (do first)

  • Entity stacking (entity-stacking.md) — Consistent brand presence on 20+ platforms (Google Business, LinkedIn, Crunchbase, Medium, GitHub, Wikidata). Expected: 20-30 referring domains month 1. The Wikidata entry is highest-leverage for entity recognition.
  • Citations and directories (citations-directories.md) — Industry and local directories. Chamber of Commerce links are DR 50-70, dofollow.

Growth phase (next)

  • Competitor backlink gap (competitor-backlink-gap.md) — Requires a backlink tool (Ahrefs/Moz). Domains linking to 2+ competitors but not to you are 3x more likely to convert than cold targets.
  • Guest posting (guest-posting.md) — Target DR 30+ sites with real traffic. Contextual in-article links are worth 5-10x more than bio links.
  • Resource pages (resource-pages.md) — Search intitle:resources [niche]. University pages (DR 70-90+) are gold. Pitch as gap-filler.
  • Skyscraper technique (skyscraper-technique.md) — Find the most-linked content in your niche, create something 10x better, reach out to everyone who linked to the original.

Authority phase (scale)

  • Strategic partnerships (strategic-partnerships.md) — Joint research, co-authored guides, integration pages. Integration page links are permanent and high-authority.
  • Podcast guesting (podcast-guesting.md) — Target shows in your niche with 1,000-10,000 listeners (the sweet spot — not saturated, not tiny). Host links in show notes are dofollow and high-authority.

New site strategy

  • New site launch (new-site-launch-strategy.md) — The full 0-to-100 foundation playbook for a brand-new domain. Combines entity stacking, citations, first content, and realistic velocity.

Step 3: Anchor Text Safety

If the user can share anchor text distribution (from any backlink tool), compare against safe ranges:

  • Branded (business name, domain): 40-50%
  • Naked URL: 15-20%
  • Generic ("click here", "read more"): 15-20%
  • Partial match: 10-15%
  • Exact match: 3-5% MAX — over 5% is a penalty risk

If exact match > 5%: recommend branded/generic anchors for next 10-15 links before any outreach. For the full safety framework (why these ranges, what Penguin actually looks at, recovery playbook), load references/anchor-text-safety-guide.md.

If they can't share this data, skip this step.

Step 4: Output

Authority Phase Assessment

Phase classification with reasoning.

Top 3 Recommended Tactics

Matched to the phase. For each: tactic name, why it fits this phase, expected referring domains, time investment, specific first action to take. Reference the full playbook.

Link Velocity Guidelines

  • Month 1: 15-25 foundation links
  • Months 2-3: 5-10 quality links
  • Months 4-6: 8-15
  • Month 7+: 10-30

Red flags: 50+ in one month, all from the same country, spike in exact-match anchors. Load references/link-velocity-redflags.md for the full red-flag catalog and SpamBrain detection patterns when diagnosing a velocity penalty.

What to Ignore

  • Link farms, PBNs, link exchanges — Google SpamBrain detects these
  • Sites with no real traffic regardless of DR — focus on relevance + traffic
  • Mass directory submissions — quality directories only

Next Step

Once foundation links are built, a keyword deep dive on your biggest opportunity keyword will show which pages would benefit most from the new link equity.

Bundled references

Load from references/ only when the step or situation calls for them.

Tactic playbooks (references/tactics/) — load one before giving execution instructions for that tactic in Step 2:

  • entity-stacking.md, citations-directories.md, competitor-backlink-gap.md, guest-posting.md, resource-pages.md, skyscraper-technique.md, strategic-partnerships.md, podcast-guesting.md, new-site-launch-strategy.md

Diagnostic and safety references (references/):

  • phase-classification-tree.md — decision tree when Step 1 signals are ambiguous
  • anchor-text-safety-guide.md — full anchor safety framework and penalty recovery (Step 3)
  • link-velocity-redflags.md — velocity red flags and SpamBrain patterns (diagnosing a traffic drop that looks link-related)

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 Linkbuilding AI skill do?

Use when planning link acquisition. Classifies the site's authority phase from site age and visible signals, then recommends phase-appropriate tactics from the bundled tactic playbook library. No backlink tool required.

Why use Linkbuilding on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/inhouseseo/superseo-skills/tree/main/skills/linkbuilding. 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 Linkbuilding?

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 Linkbuilding?

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

Is the Linkbuilding AI skill free?

Yes. It is published on GitHub by inhouseseo 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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