aaron-marketing-skills: 120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines

by aaron-he-zhu · Agent Tool · ★ 3.0k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aaron-marketingagent-skillsai-staffbrand-messagingbrand-narrativecontent-optimizationemail-marketinggenerative-engine-optimizationgeogrok

Quick Facts

Stars3,002
Forks385
LanguagePython
CategoryAgent Tool
LicenseApache-2.0
Quality Score69/100
Open Issues1
Last Updated2026-10-22
Created2025-12-18
Platformspython
Est. Tokens~16k

About aaron-marketing-skills

Aaron Marketing Skills 38 skills. 5 commands. SEO/GEO and influencer marketing on one shared contract. English | 中文 Claude Skills and Commands for two marketing disciplines on one operating contract: Search (SEO/GEO) — 20 skills for keyword research, content creation, technical audits, schema, monitoring, quality gates, entity truth, and campaign memory.

Compatible Skills

These tools work well together with aaron-marketing-skills for enhanced workflows:

  • geo-optimizer-skill — semantic(0.46)+complementary+rare_topics+same_lang+similar_pop+shared_platform (75%)
  • recomby-geo — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • recomby-geo — semantic(0.32)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • eGEOagents — semantic(0.44)+complementary+rare_topics+same_lang+shared_platform (69%)
  • agents — semantic(0.56)+complementary+rare_topics+similar_pop+shared_platform (69%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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