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
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.
git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skillsWrote 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/commands/aaron-he-zhu/aaron-marketing-skills/ad)<a href="https://agentmods.dev/commands/aaron-he-zhu/aaron-marketing-skills/ad"><img src="https://agentmods.dev/badge/commands/aaron-he-zhu/aaron-marketing-skills/ad/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/commands/aaron-he-zhu/aaron-marketing-skills/ad"><img src="https://agentmods.dev/badge/commands/aaron-he-zhu/aaron-marketing-skills/ad.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00050 | $0.01069 |
| Opus 5 | $0.00025 | $0.00535 |
| Sonnet 5 | $0.00010 | $0.00214 |
| Haiku 4.5 | $0.00005 | $0.00107 |
Grade A, and why
ad 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 13d 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 — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid Ads Command
Run the paid-ads lifecycle along the ROAS loop (Research → Orchestrate → Activate → Scale). Skills score on the ROAS framework and operate from the user's own-account manual export — keyed ad-platform APIs are never required.
Route
Infer the ROAS-loop phase from the goal (or honor --phase) and route to the matching skill:
- Research — campaign-architect (account/campaign structure), audience-segment-builder (segments), search-term-miner (converting-query mining + negative-keyword lists), product-feed-optimizer (Shopping/PMax feed, title/attribute fixes); reuse budget-optimizer for spend; consult offer-claims-registry's live-offers table (
memory/claims/offers.md) when structuring promo campaigns - Orchestrate — ad-creative-builder, ad-test-designer, bid-strategy-planner (tCPA/tROAS target + learning-phase entry), landing-experience-checker (pre-launch Quality-Score + ad-to-page message-match preflight); reuse landing-optimizer for the post-click page; read approved wording from the claims projection and submit
[needs source]items asoperation: proposeevents to the claims registry - Activate — choose the sibling that matches the request; this is a capability menu, not an automatic four-skill chain: conversion-signal-qa (build/verify tracking), placement-exclusion-manager (brand-safety exclusion lists), conversion-value-mapper (margin→value so tROAS optimizes profit, not orders), or ad-account-auditor (the RQS gate + launch go/no-go; O1/O2 judged against offer-claims-registry's ledger). A pre-launch account-audit request follows the exact narrow chain
conversion-signal-qafirst →ad-account-auditor; do not insert the placement or value builders unless the user separately requests that work or the completed gate routes a specific finding to remediation. - Scale — paid-measurement-loop, attribution-reconciler, budget-pacing-monitor (over/under-spend pacing), fatigue-frequency-manager (frequency/CTR decay + creative rotation); reuse roi-calculator / report-generator / performance-analyzer
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.
- 13d ago First seen · 31 lines · 50 tokens per session scan A defa85664101
ad is a command published in the GitHub repository aaron-he-zhu/aaron-marketing-skills (2,767 stars, last pushed yesterday), licensed Apache-2.0. It adds 50 tokens to every session and 1,069 once invoked, about $0.0003 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 2026-08-30.
Other commands, from other repositories
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geo
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geo:optimize
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geo:audit
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geo:batch
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geo:compete
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