AI Marketing Skills

Open-source Claude Code skills for marketing and sales teams. Built by the team at Single Brain — battle-tested on real pipelines generating millions in revenue.

These aren’t prompts. They’re complete workflows — scripts, scoring algorithms, expert panels, and automation pipelines you can plug into Claude Code (or any AI coding agent) and run today.

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🗂️ Skills

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🚀 Quick Start

Each skill category has its own README with setup instructions. The general pattern:

# 1. Clone the repo
git clone https://github.com/ericosiu/ai-marketing-skills.git
cd ai-marketing-skills

# 2. Pick a category
cd growth-engine  # or sales-pipeline, content-ops, etc.

# 3. Install dependencies
pip install -r requirements.txt

# 4. Set up environment variables
cp .env.example .env
# Edit .env with your API keys

# 5. Run
python experiment-engine.py create \
  --hypothesis "Thread posts get 2x engagement vs single posts" \
  --variable format \
  --variants '["thread", "single"]' \
  --metric impressions

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🧠 How These Work with Claude Code

Every category includes a SKILL.md file. Drop it into your Claude Code project and the AI agent knows how to use the tools:

# In your project directory
cp ai-marketing-skills/growth-engine/SKILL.md .claude/skills/growth-engine.md

Then ask Claude Code: “Run an experiment testing carousel vs. static posts on LinkedIn” — it handles the rest.

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📊 What Makes These Different

These aren’t toy demos. Each skill was built to run real business operations:

• Growth Engine uses bootstrap confidence intervals and Mann-Whitney U tests — real statistics, not vibes
• Deal Resurrector has three intelligence layers including “follow the champion” — tracking departed contacts to their new companies
• ICP Learner rewrites your ideal customer profile based on actual win/loss data — your targeting improves automatically
• Expert Panel recursively scores content with domain-specific expert personas until quality hits 90+
• RB2B Router does intent scoring, seniority-based company dedup, and agency classification before routing to outbound sequences

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📁 Repository Structure

ai-marketing-skills/
├── README.md              ← You are here
├── growth-engine/         ← Autonomous experiments
│   ├── SKILL.md
│   ├── experiment-engine.py
│   ├── pacing-alert.py
│   ├── autogrowth-weekly-scorecard.py
│   └── ...
├── sales-pipeline/        ← Visitor → pipeline automation
│   ├── SKILL.md
│   ├── rb2b_instantly_router.py
│   ├── deal_resurrector.py
│   ├── trigger_prospector.py
│   ├── icp_learning_analyzer.py
│   └── ...
├── content-ops/           ← Quality scoring & production
│   ├── SKILL.md
│   ├── scripts/
│   ├── experts/           ← 9 expert panel definitions
│   ├── scoring-rubrics/   ← 5 scoring rubric templates
│   └── ...
├── outbound-engine/       ← Cold outbound automation
│   ├── SKILL.md
│   ├── scripts/
│   ├── references/        ← ICP template, copy rules
│   └── ...
├── seo-ops/               ← SEO intelligence
│   ├── SKILL.md
│   ├── content_attack_brief.py
│   ├── gsc_client.py
│   ├── trend_scout.py
│   └── ...
├── finance-ops/           ← Financial analysis
│   ├── SKILL.md
│   ├── scripts/
│   ├── references/        ← Metrics, rates, ROI models
│   └── ...
├── revenue-intelligence/  ← Sales call insights + attribution
│   ├── SKILL.md
│   ├── gong_insight_pipeline.py
│   ├── revenue_attribution.py
│   └── client_report_generator.py
├── conversion-ops/        ← CRO + lead magnet generation
│   ├── SKILL.md
│   ├── cro_audit.py
│   └── survey_lead_magnet.py
├── podcast-ops/           ← Podcast → content factory
│   ├── SKILL.md
│   └── podcast_pipeline.py
├── team-ops/              ← Performance audits + meeting intel
│   ├── SKILL.md
│   ├── team_performance_audit.py
│   └── meeting_action_extractor.py
└── sales-playbook/        ← Value-based pricing framework
    ├── SKILL.md
    ├── value_pricing_briefing.py
    ├── value_pricing_packager.py
    ├── call_analyzer.py
    └── pricing_pattern_library.py

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🔒 Privacy & Security

Every skill is built with data privacy in mind:

• PII Sanitizer scans code and data for sensitive information before commits (security/sanitizer.py)
• Pre-commit hook blocks commits containing detected PII patterns
• Configurable blocklists for company names, person names, and custom patterns
• See security/README.md for setup

# Scan for sensitive data
python3 security/sanitizer.py --scan --dir . --recursive

# Install the pre-commit hook
cp security/pre-commit-hook.sh .git/hooks/pre-commit && chmod +x .git/hooks/pre-commit

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📡 Telemetry (Opt-In)

Anonymous usage telemetry helps us understand which skills people actually use. Fully opt-in, privacy-first:

• Local logging always — see your own usage stats in ~/.ai-marketing-skills/analytics/
• Remote reporting optional — only if you explicitly opt in on first run
• Data collected: skill name, duration, success/fail, version, OS. Nothing else. No code, no file paths, no repo content.
• Version checks — get notified when new skills are available

# View your local usage stats
python3 telemetry/telemetry_report.py

# Check for updates
python3 telemetry/version_check.py

See telemetry/README.md for details.

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🤝 Contributing

Found a bug? Have an improvement? PRs welcome. Read CONTRIBUTING.md for guidelines.

1. Fork the repo
2. Create your feature branch (git checkout -b feature/better-scoring)
3. Run python3 security/sanitizer.py --scan before committing
4. Commit your changes
5. Push to the branch
6. Open a Pull Request

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📄 License

MIT License. Use these however you want.

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Star this repo if you find it useful. It helps others discover these tools.

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