marketing-demand-acquisition

579 stars 112 forks
0
C

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.

CommandsAgentsMarketplace
#Google ads#claude-ai#demand gen#SEO#claudecode-subagents#claude-ai-skills#paid#Product

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-skills/marketing-demand-acquisition
skilz install alirezarezvani/claude-skills/marketing-demand-acquisition --agent opencode
skilz install alirezarezvani/claude-skills/marketing-demand-acquisition --agent codex
skilz install alirezarezvani/claude-skills/marketing-demand-acquisition --agent gemini

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/alirezarezvani/claude-skills
2. Copy the agent skill directory:
cp -r claude-skills/marketing-skill/marketing-demand-acquisition ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

Related Agentic Skills

Agentic Skill Details

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

Spec Compliance
14/15
PDA Architecture
15/30
Ease of Use
21/25
Writing Style
6/10
Utility
17/20
Modifiers: +4

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.py script 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

Google ads claude-ai demand gen SEO claudecode-subagents claude-ai-skills paid Product claude-skills Campaign

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