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/page-play-builder)<a href="https://agentmods.dev/skills/aaron-he-zhu/aaron-marketing-skills/page-play-builder"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/page-play-builder/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/page-play-builder"><img src="https://agentmods.dev/badge/skills/aaron-he-zhu/aaron-marketing-skills/page-play-builder.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 | $0.00227 | $0.03530 |
| Opus 5 | $0.00113 | $0.01765 |
| Sonnet 5 | $0.00045 | $0.00706 |
| Haiku 4.5 | $0.00023 | $0.00353 |
Grade A, and why
page-play-builder 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Page Play Builder
Builds SEO pages that are not single hand-written articles, behind one mode router. Four plays, one contract: programmatic (a template × dataset system that generates many pages), parasite (borrowed-authority publishing on high-DA third-party platforms that points back to an owned site), comparison (vs / alternative pages that rank for competitive terms), and local (Google Business Profile, NAP, citations, and location/service-area pages). The router picks the play; each play keeps its own guardrail.
Scope: this skill builds the page or page-system. keyword-research / content-gap-analysis find the demand; content-writer drafts a single standalone article; content-quality-auditor scores a page for publish. This skill does not compute the CORE-EEAT score or run the veto items — it hands a representative sample to the auditor.
Quick Start
Pick the mode that matches the ask, then run its play:
programmatic — Build a template × dataset page system for [pattern] from [dataset]
parasite — Pick third-party platforms to rank for "[keyword]" and link back to [URL]
comparison — Build a "you vs [Competitor]" (or "[Competitor] alternatives") page
local — Do local SEO for [business] in [city] — storefront | service-area
Shortest valid invocation: name the mode + its one required input (dataset / canonical URL / competitor / business+location). Output: a ready-to-hand-off page or page-system plan plus the standard handoff summary, written to memory/content/.
Mode Selector
Route on the primary intent. When the mode is ambiguous, stop and ask which play — do not guess (the guardrails and required inputs differ per mode).
| Mode | Trigger phrasing | Builds | Required input (else NEEDS_INPUT) | Guardrail that governs it | Play pack |
|---|---|---|---|---|---|
| programmatic | "pages at scale", "程序化/批量页面", pSEO, template × data | A template × dataset system + dedup / indexation rules | A dataset with real per-row facts (not a name/city swap) | Thin/duplicate + index-bloat | references/programmatic.md |
| parasite | "rank on a third-party site", "borrow authority", barnacle SEO | A platform-selection + canonical/back-link plan | The canonical owned URL to point back to | Site-reputation-abuse + ToS | references/parasite.md |
| comparison | "vs page", "[X] alternative(s)", battle card page | A ready-to-publish comparison page + competitor data file | Your positioning + the competitor name(s) | Honesty rule + one source of truth | references/comparison.md |
| local | "local SEO", GBP, NAP, citations, local pack | A canonical NAP + GBP checklist + citation list + location pages | Business name + address + phone (NAP) | NAP consistency (errors compound) | references/local.md |
What ships with it
4 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 · 116 lines · 227 tokens per session scan A 488194b1b359
page-play-builder 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 227 tokens to every session and 3,530 once invoked, about $0.0011 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.