by coreyhaines31 · Claude Skill · ★ 58.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Claude Code Skills · Claude SEO Skills & SEO MCP Servers
npx skills add coreyhaines31/marketingskills
npx skills add coreyhaines31/marketingskills --skill page-cro copywriting
Taken from the project's README on GitHub. Check the security audit before running it.
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.
One of 36 tools we ran end to end on the same task for our Claude Code Skills page (2026-10-11).
Our pick for one field, done cleanly: 50 marketing skills, all valid, none over 500 lines, none shipping scripts; its descriptions are long, so installed whole a few may lose theirs. For security work the same shape is trailofbits/skills (85 of 85 valid).
Result: 50 distinct skills · 100% meet the format · installed whole, some skills lose their description
| Stars | 58,905 |
| Forks | 8,611 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 86 |
| Last Updated | 2026-11-06 |
| Created | 2026-01-15 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~16k |
Marketing Skills for AI Agents A collection of AI agent skills focused on marketing tasks. Built for technical marketers and founders who want AI coding agents to help with conversion optimization, copywriting, SEO, analytics, and growth engineering. Works with Claude Code, OpenAI Codex, Cursor, Windsurf, and any agent that supports the Agent Skills spec. Built by Corey Haines.
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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: