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/content-writer)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/content-writer"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/content-writer/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/content-writer"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/content-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00113 | $0.03389 |
| Opus 5 | $0.00056 | $0.01695 |
| Sonnet 5 | $0.00023 | $0.00678 |
| Haiku 4.5 | $0.00011 | $0.00339 |
Grade A, and why
content-writer 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Writer
Writes and updates SEO/GEO content across two modes: new drafts net-new pages against a target keyword and search intent; refresh diagnoses decay on an existing page, prioritizes the update, and produces a republish plan. Both modes apply the same CORE-EEAT constraints so a draft and a refresh clear the same quality bar before the auditor gate.
This skill does NOT compute the CORE-EEAT score or run vetoes — that is the publish-gate role of content-quality-auditor. This skill works the writing/updating lever and hands off. It also does not score AI-citation/GEO readiness in isolation (geo-content-optimizer) or produce meta tags/schema as standalone artifacts (serp-markup-builder).
Mode Selector
| Mode | Trigger | Output |
|---|---|---|
new |
"write / draft SEO content", net-new page against a keyword, no existing URL | Ready-to-use draft (title, meta, H1/H2 structure, snippet block, links) |
refresh |
"update outdated content", "fix decay", "refresh for [year]", an existing URL that lost traffic/rankings | Decay diagnosis, prioritized update plan, republish-date strategy, optional refreshed copy |
Selecting the mode: honor an explicit --mode. Otherwise infer: an existing URL plus a decline/staleness signal → refresh; a topic/keyword with no prior version → new. If the request says "refresh" but there is no existing URL, treat it as new and note the mismatch once (do not fabricate a prior version).
Quick Start
# mode: new
Write an SEO-optimized article about [topic] targeting the keyword [keyword]
Here's my content brief: [brief]. Write SEO content following this outline.
# mode: refresh
Refresh this article for [current year]: [URL/content]
Which of my blog posts have lost the most traffic? Refresh the worst one.
Update this content to outrank [competitor URL]: [your URL]
What ships with it
7 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 · 138 lines · 113 tokens per session scan A cf0138f71098
content-writer 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 113 tokens to every session and 3,389 once invoked, about $0.0006 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.