aaron-marketing-skills is a collection of 120 AI-agent skills covering marketing work such as brand narrative, search optimization, social media, email, advertising, influencer campaigns, and launches. Marketers and agent users can install it as a plugin, use its portable skills, or run its described bot team. The catalogue entries are components of this marketing workflow.
Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add aaron-he-zhu/aaron-marketing-skills/plugin install aaron-marketingWrote 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.
[](https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/site-structure-optimizer)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/site-structure-optimizer"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/site-structure-optimizer/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.
<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/site-structure-optimizer"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/site-structure-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00143 | $0.03606 |
| Opus 5 | $0.00072 | $0.01803 |
| Sonnet 5 | $0.00029 | $0.00721 |
| Haiku 4.5 | $0.00014 | $0.00361 |
Grade A, and why
site-structure-optimizer 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Site Structure Optimizer
Works one lever of site structure at two altitudes. Architecture mode designs the whole-site information architecture — page hierarchy, navigation, URL taxonomy, hub/spoke topic clusters, link topology — and renders Mermaid site maps that make orphans and link islands visible. Linking mode optimizes the links inside an existing structure — link graph, authority flow, anchor text, orphan disposition — and delivers a prioritized source/target/anchor plan. Both emit a structure score /100 and a handoff summary.
Scope guard: this skill does not compute the CORE-EEAT score or run vetoes (T04, C01, R10) — that is the content-quality-auditor gate. It does not analyze external backlinks (offsite-signal-analyzer) or diagnose XML sitemaps / indexation (technical-seo-checker). It works the structure lever and hands off.
Mode Selector
| Mode | Altitude | Use when | Core outputs |
|---|---|---|---|
architecture |
Whole-site layout | New build or restructure; the layout itself is the question | ASCII hierarchy tree, URL map table, nav spec, hub/spoke plan, Mermaid site map, architecture score /100 |
linking |
Links inside an existing layout | Pages exist; the question is how they connect | Orphan list + disposition, anchor-text distribution, contextual link plan (source/target/anchor), structure score /100 |
Pick the mode from --mode if given. Otherwise infer: "plan / design structure / URL taxonomy / hub-spoke / sitemap" → architecture; "fix internal linking / orphan pages / anchor text / authority flow" → linking. If the request spans both (e.g., "restructure the site AND fix the links"), run architecture first, then hand off to linking (see Next Best Skill) — do not silently interleave.
Quick Start
Start with one of these prompts, then finish with the standard handoff summary from Skill Contract.
# architecture mode
Plan the site structure for a new SaaS marketing site
Restructure my existing site — pages feel buried and disorganized
Design the URL taxonomy and navigation for [domain]
Map hub/spoke topic clusters for my blog around [topic]
# linking mode
Analyze internal linking structure for [domain/sitemap]
Find orphan pages on [domain]
Suggest internal links for this new article: [content/URL]
Optimize anchor text across the site
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 161 lines · 143 tokens per session scan A 391ad255c156
site-structure-optimizer is a skill published in the GitHub repository aaron-he-zhu/aaron-marketing-skills (2,767 stars, last pushed yesterday), licensed Apache-2.0. It adds 143 tokens to every session and 3,606 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
geo-visibility-check
One-shot GEO audit: does your brand appear in Claude, ChatGPT, and Gemini answers for the buyer questions that matter? Runs a prompt panel through the engines with citation tracing and reports per-prompt verdicts, who wins instead, and which sources the answers come from.
geo-optimizer-skill
Run geo audit first. It scores the site 0–100 across 8 categories and generates a prioritized action list.
geo-loop
Run one bounded eGEOagents loop iteration over a workspace domain - read the charter and fresh collector data, do ONE unit of work, write substrate artifacts, append one Timeline entry and one LOG line. Use for loop mode, /geo:loop, scheduled GEO runs, or continuous monitoring.
content-scoring
Score content against the 10 GEO criteria with evidence and prioritized fixes. Use when users ask to score, rate, evaluate, or estimate ranking strength.
competitive-analysis
Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.
schema-generator
Generate JSON-LD schema markup for pages and content types with an implementation checklist. Use when users ask for schema, structured data, rich snippets, or markup.