Marketing-Skills: AI agent Marketing skills for Claude Code and AI agents

by Cesarjoquin · Claude Skill · ★ 188

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

How to install Marketing-Skills

git clone https://github.com/coreyhaines31/marketingskills.git
npx skills add coreyhaines31/marketingskills

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 75/100

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.

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.

agentaiai-agentai-skillsmarketing-agentskills-agent

Quick Facts

Stars188
Forks1,237
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score75/100
Open Issues1
Last Updated2026-09-14
Created2026-06-26
Platformsclaude-code, node
Est. Tokens~17k

About Marketing-Skills

Marketing Skills A production-ready toolkit for AI agents working on marketing tasks. Ships 51+ Agent Skills (markdown workflows) and a TypeScript CLI platform with optional Redis-backed response caching. Built for engineers and technical marketers who want reproducible, testable tooling around conversion optimization, copywriting, SEO, analytics, and growth workflows.

Compatible Skills

These tools work well together with Marketing-Skills for enhanced workflows:

  • agent-skills-generator — semantic(0.41)+complementary+same_lang+similar_pop+shared_platform (64%)
  • ocbot — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (63%)
  • skills — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (63%)

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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:

View on GitHub → Browse Claude Skill tools