42 production-ready marketing skills organized into 7 specialist pods with a context foundation and orchestration layer.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmarketing-skillsExecute the skills CLI command in your project's root directory to begin installation:
Fetches marketing-skills from alirezarezvani/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate marketing-skills. Access via /marketing-skills in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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42 production-ready marketing skills organized into 7 specialist pods with a context foundation and orchestration layer.
/read marketing-skill/marketing-ops/SKILL.md
The router will direct you to the right specialist skill.
codex --full-auto "Read marketing-skill/marketing-ops/SKILL.md, then help me write a blog post about [topic]"
Skills are auto-discovered from the repository. Ask your agent for marketing help — it routes via marketing-ops.
marketing-skill/
├── marketing-context/ ← Foundation: brand voice, audience, goals
├── marketing-ops/ ← Router: dispatches to the right skill
│
├── Content Pod (8) ← Strategy → Production → Editing → Social
├── SEO Pod (5) ← Traditional + AI SEO + Schema + Architecture
├── CRO Pod (6) ← Pages, Forms, Signup, Onboarding, Popups, Paywall
├── Channels Pod (5) ← Email, Ads, Cold Email, Ad Creative, Social Mgmt
├── Growth Pod (4) ← A/B Testing, Referrals, Free Tools, Churn
├── Intelligence Pod (4) ← Competitors, Psychology, Analytics, Campaigns
└── Sales & GTM Pod (2) ← Pricing, Launch Strategy
Run marketing-context to create your marketing-context.md file. Every other skill reads this for brand voice, audience personas, and competitive landscape. Do this once — it makes everything better.
| Pod | Skills | Python Tools | Key Capabilities |
|---|---|---|---|
| Foundation | 2 | 2 | Brand context capture, skill routing |
| Content | 8 | 5 | Strategy → production → editing → humanization |
| SEO | 5 | 2 | Technical SEO, AI SEO (AEO/GEO), schema, architecture |
| CRO | 6 | 0 | Page, form, signup, onboarding, popup, paywall optimization |
| Channels | 5 | 2 | Email sequences, paid ads, cold email, ad creative |
| Growth | 4 | 2 | A/B testing, referral programs, free tools, churn prevention |
| Intelligence | 4 | 4 | Competitor analysis, marketing psychology, analytics, campaigns |
| Sales & GTM | 2 | 1 | Pricing strategy, launch planning |
| Standalone | 4 | 9 | ASO, brand guidelines, PMM strategy, prompt engineering |
All scripts are stdlib-only (zero pip installs), CLI-first with JSON output, and include embedded sample data for demo mode.
# Content scoring
python3 marketing-skill/content-production/scripts/content_scorer.py article.md
# AI writing detection
python3 marketing-skill/content-humanizer/scripts/humanizer_scorer.py draft.md
# Brand voice analysis
python3 marketing-skill/content-production/scripts/brand_voice_analyzer.py copy.txt
# Ad copy validation
python3 marketing-skill/ad-creative/scripts/ad_copy_validator.py ads.json
# Pricing scenario modeling
python3 marketing-skill/pricing-strategy/scripts/pricing_modeler.py
# Tracking plan generation
python3 marketing-skill/analytics-tracking/scripts/tracking_plan_generator.py
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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whyashthakker/agent-skills-marketing
JuliusBrussee/caveman
alirezarezvani/claude-skills
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Registry listing for marketing-skills matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for marketing-skills matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in marketing-skills — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
marketing-skills has been reliable in day-to-day use. Documentation quality is above average for community skills.
marketing-skills reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: marketing-skills is focused, and the summary matches what you get after install.
marketing-skills reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend marketing-skills for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
marketing-skills is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: marketing-skills is the kind of skill you can hand to a new teammate without a long onboarding doc.
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