domain-architecture

domain-architecture is a skill for Claude Code, Codex from T4wroot/agentic-seo. It costs 99 tokens per session (1,085 once invoked), scanned A, a copy of domain-architecture, MIT.

A guide to choosing how multiple products or brands should be organized online: in subfolders, subdomains, or separate domains. It also explains whether one shared brand or several distinct brands better fits the portfolio.

In plain words
What is it for?
Use it to plan domains for multiple products or brands, compare subfolders with subdomains, and decide whether to consolidate or separate websites.
Why use it?
It helps avoid domain structures that confuse visitors, weaken brand relationships, or create unnecessary technical and maintenance work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan domains for multiple products or brands, compare subfolders with subdomains, and decide whether to consolidate or separate websites.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/t4wroot/agentic-seo/domain-architecture
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add T4wroot/agentic-seo --skill domain-architecture
Clone the repo
git clone --depth 1 https://github.com/T4wroot/agentic-seo

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for domain-architecture

README.md
[![agentmods](https://agentmods.dev/badge/skills/t4wroot/agentic-seo/domain-architecture/github.svg)](https://agentmods.dev/skills/t4wroot/agentic-seo/domain-architecture)
Your own site
<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/domain-architecture"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/domain-architecture/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for domain-architecture

Your own site · 80×15
<a href="https://agentmods.dev/skills/t4wroot/agentic-seo/domain-architecture"><img src="https://agentmods.dev/badge/skills/t4wroot/agentic-seo/domain-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,085 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.01085
Opus 5 $0.00049 $0.00543
Sonnet 5 $0.00020 $0.00217
Haiku 4.5 $0.00010 $0.00109

Measured 7d ago against content hash 7d8b88e3d602, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

domain-architecture scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to domain-architecture — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/strategies/commercial/domain/domain-architecture/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Strategy: Domain Architecture

Guides domain structure decisions for multiple products or brands: subfolder (subdirectory), subdomain, or independent domain. Covers brand architecture (Branded House vs House of Brands) and Hub-Spoke principles when multiple domains coexist. See domain-selection for initial domain choice (Brand/PMD/EMD, TLD); website-structure for single-domain page planning; rebranding-strategy for domain change and migration; multi-domain-brand-seo for brand search optimization.

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.

Initial Assessment

Check for project context first: If .claude/project-context.md or .cursor/project-context.md exists, read it for product portfolio and growth goals.

Identify:

  1. Product count: Single product vs multiple products/brands
  2. Brand strategy: Unified brand vs distinct brands
  3. Current state: Planning from scratch vs consolidating existing domains
  4. Constraints: Tech stack, team, budget

Domain Structure Options

Structure Example SEO Authority Brand Independence Typical Use
Subfolder company.com/product-a Shared with main domain Low Products under one brand; SMB; content consolidation
Subdomain product.company.com Treated separately by Google Medium Separate product experience; tech isolation; support/docs
Independent domain product.ai None shared High Acquired brands; different markets; distinct brand identity

When to Use Each

Choose When
Subfolder Products share value proposition; want to strengthen main domain; SMB; blog, tools, features under one brand
Subdomain Need separate tech stack (e.g., app vs marketing); support portal; docs; distinct UX but same brand
Independent domain House of Brands; acquired company; different audience; different TLD (e.g., .ai for AI product)

Read the full file on GitHub · 81 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 81 lines · 99 tokens per session scan A 7d8b88e3d602

Subscribe to this mod's changes

domain-architecture is a skill published in the GitHub repository T4wroot/agentic-seo (15 stars, last pushed 8d ago), licensed MIT. It adds 99 tokens to every session and 1,085 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to domain-architecture, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

fire-your-seo-agency

A procedure for improving how a website appears in search engines and how AI answer systems find and cite it. It covers search, answer-engine, generative-AI, and Naver visibility.

leopard627/fire-your-seo-agency · 162 tokens

content-thicken

Evidence-driven blog driver. Takes ONE target from the fused search plus AI-answer content library, pulls the real questions it has to answer, drafts a thick long-form guide against a template contract, validates it deterministically, and stops at preview. Two modes, thicken an already-earning post IN PLACE (never…

Jasper0122/agent-seo-kit · 126 tokens

backlink-outreach

Find, evaluate, pitch and track natural backlink and content partnerships. Prospects come from the GEO citation data rather than a generic blog search: the targets are the pages an AI already cites when answering your category questions. Research runs on the Monid tool layer (web search and scrape, authority metrics…

Jasper0122/agent-seo-kit · 133 tokens

geo-monitor

Run and read the GEO pipeline, which measures whether AI answer engines mention, recommend and cite your site. Puts a fixed registry of real user questions to an answer engine through the Monid tool layer, detects the three signals plus competitors, and turns "a rival is named and we are not" into a tracked work…

Jasper0122/agent-seo-kit · 159 tokens

seo-intake

Run and read the SEO intake pipeline. Pulls the organic keyword set for your domain and for each competitor through the Monid tool layer, computes the gap locally, and routes every keyword to the one action that can help it (write-new / striking / build-depth / defend / noise). Use when asked to refresh the SEO queue…

Jasper0122/agent-seo-kit · 117 tokens

bing-duplicate-content-fix

Audit article groups, WordPress categories, or supplied URLs for copied content, near-duplicate templates, search-intent overlap, and keyword cannibalization; prepare exact SEO/AEO/GEO fixes; apply only approved WordPress changes; verify saved and public results; and request a Bing recrawl when authorized. Use for…

TechDivar/bing-webmaster-aeo-mcp · 110 tokens