marketing-demand-acquisition
Multi-channel demand generation, paid media optimization, SEO strategy, and partnership programs for Series A+ startups. Includes CAC calculator, channel playbooks, HubSpot integration, and international expansion tactics. Use when planning demand generation campaigns, optimizing paid media, building SEO strategies, establishing partnerships, or when user mentions demand gen, paid ads, LinkedIn ads, Google ads, CAC, acquisition, lead generation, or pipeline generation.
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Installation for Agentic Skill
View all platforms →skilz install alirezarezvani/claude-skills/marketing-demand-acquisitionskilz install alirezarezvani/claude-skills/marketing-demand-acquisition --agent opencodeskilz install alirezarezvani/claude-skills/marketing-demand-acquisition --agent codexskilz install alirezarezvani/claude-skills/marketing-demand-acquisition --agent geminiFirst time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/alirezarezvani/claude-skillscp -r claude-skills/marketing-skill/marketing-demand-acquisition ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- alirezarezvani (GitHub)
- Repository
- claude-skills
- Stars
- 579
- Forks
- 112
- Type
- Other
- Meta-Domain
- Primary Domain
- Market Score
- 0
Agent Skill Grade
C Score: 77/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing Reference Files
- Token-Heavy Main File
- Inconsistent Voice
Recommendations
- Focus on improving Pda (currently 15/30)
- Address 2 high-severity issues first
- Add trigger phrases to description for discoverability
Graded: 2026-01-24
Developer Feedback
I had to dig into how you're handling the demand-side metrics here—the scoring logic around acquisition efficiency is solid, but I'm curious about the edge cases when conversion funnels break down mid-cycle.
Links:
The TL;DR
You're at 77/100, solid C territory. This is graded against Anthropic's best practices for agentic skills. Your Spec Compliance is chef's kiss (14/15)—the metadata and structure follow conventions well. But Progressive Disclosure Architecture is dragging you down (15/30). You've crammed a 986-line skill where 300 would do, and you're referencing files that don't exist. Fix that and you're looking at mid-80s.
What's Working Well
- Trigger terms are thorough – "demand gen," "paid ads," "CAC," "attribution" give Claude plenty of hooks to activate this skill at the right moments
- Real templates that work – The campaign brief, UTM structure, and Email templates aren't just descriptions; they're actually usable. And that
calculate_cac.pyscript is practical - Comprehensive for Series A+ startups – You're hitting demand generation, paid media, SEO, partnerships, and attribution. That's good coverage of the actual problem space
- Good pre-commit discipline – The checklists (Technical SEO, Campaign Planning) show you thought about validation steps
The Big One: Missing Reference Architecture
Your skill references 4 files that don't exist: hubspot-workflows.md, campaign-templates.md, international-playbooks.md, attribution-guide.md. You're currently just listing them in the Resources section (lines 965-972) like they'll magically appear.
Why it matters: Progressive Disclosure Architecture means layering complexity. New...
AI-Detected Topics
Extracted using NLP analysis
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