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marketing-demand-acquisition

0.0
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.

Commands Agents Marketplace
#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:

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Agentic Skill Details

Repository
claude-skills
Type
Other
Meta-Domain
N/A
Primary Domain
N/A
Market Score
0.0

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

  • SKILL.md references 4 files in references/ directory that don't exist: hubspot-workflows.md, campaign-templates.md, international-playbooks.md, attribution-guide.md
  • 986-line SKILL.md contains excessive detail that should be extracted to reference files per PDA architecture
  • Mixed imperative and second-person voice throughout; should use consistent imperative/infinitive

Recommendations

  • Focus on improving Pda (currently 15/30)
  • Address 2 high-severity issues first
  • Add trigger phrases to description for discoverability

Graded: 1/23/2026

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 users need a quick path to value; advanced users dig into references. You're breaking that contract—either commit to those files or cut them. Right now you're losing 7 points on this alone.

The fix: Either create those reference files in a references/ subdirectory (move the detailed HubSpot setup, ad copy frameworks, SEO checklists there), or strip them from your SKILL.md and acknowledge this is a single-file skill. If single-file, move templates to an Appendix section instead of treating them like they're documented elsewhere.

Other Things Worth Fixing

  1. Token bloat in the main file – 986 lines is too much for a single SKILL.md. Detailed HubSpot setup (lines 107-135), ad copy frameworks (lines 243-257), and partnership templates (lines 544-571) should move to references. Target <300 lines for the main file. This alone gains +5 points.

  2. Voice consistency – You're mixing imperative ("Use", "Create") with second-person ("you'll need", "your customers", "I'm thinking"). Pick one. Convert everything to imperative/infinitive: "Configure HubSpot" not "You'll need to configure". Fixes the Writing Style score (+2 points).

  3. Strip the marketing language – "Expert acquisition playbook" and "2025 Best Practice" feel like marketing copy. Use neutral framing: "Acquisition playbook for Series A+ startups", "Current industry framework (2025)". Sounds more instructional. (+1 point)

  4. Add validation loops – Many procedures tell Claude what to do but not how to verify it worked. After LinkedIn campaign setup or SEO checklist completion, add a "Validation" step: "Check Campaign Manager shows Active status" or "Run a Core Web Vitals audit". Closes feedback loops (+3 points).

Quick Wins

  • Create or commit to references – This is your biggest lever. Either build those 4 markdown files or remove the references section (+7 points)
  • Trim SKILL.md to <300 lines – Extract templates and detailed procedures to references (+5 points)
  • Standardize voice to imperative – Quick pass through, swap "you/your" for direct commands (+2 points)
  • Tighten language – Remove superlatives, add validation steps (+3-4 points)

You're close—fix the architecture and voice and you're easily in the 87-90 range.


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AI-Detected Topics

Extracted using NLP analysis

Google ads claude-ai demand gen SEO claudecode-subagents claude-ai-skills paid Product claude-skills Campaign claude-code ads anthropic-claude paid media Google claude-code-skills agentic-ai agentic-coding demand generation

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