ai-marketing-skills README

The project's README from github.com/ericosiu/ai-marketing-skills. As one markdown file: README.md.

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.


🗂️ Skills

Category What It Does Key Skills
Growth Engine Autonomous marketing experiments that run, measure, and optimize themselves Experiment Engine, Pacing Alerts, Weekly Scorecard
Sales Pipeline Turn anonymous website visitors into qualified pipeline RB2B Router, Deal Resurrector, Trigger Prospector, ICP Learner
Content Ops Ship content that scores 90+ every time Expert Panel, Quality Gate, Editorial Brain, Quote Miner
Growth Signal Charts Turn original content and measured audience signals into cited social charts Content Spikes, Recent Research, Desk Edition, PNG/PDF Exports
Content OS Portable Starter Bootstrap a vendor-neutral, draft-first content control loop Config Schema, Approval Gates, Connector Matrix, Readback Templates
Personal Strategic Signal Intelligence Turn private reading, bookmarks, notes, and applied work into source-grounded decision intelligence Attention Drift, Decision Court, Bookmark-to-Build, Content Negative-Space
Outbound Engine ICP definition to emails in inbox — fully automated Cold Outbound Optimizer, Lead Pipeline, Competitive Monitor
SEO Ops Find the keywords your competitors missed Content Attack Briefs, GSC Optimizer, Trend Scout
Finance Ops Your AI CFO that finds hidden costs in 30 minutes CFO Briefing, Cost Estimate, Scenario Modeler
Revenue Intelligence Prove content ROI and turn sales calls into strategy Gong Insight Pipeline, Revenue Attribution, Client Report Generator
Conversion Ops Score any landing page and turn survey data into lead magnets CRO Audit, Survey-to-Lead-Magnet Engine
Podcast Ops One episode → 20+ content pieces across every platform Podcast-to-Everything Pipeline, Content Calendar
Team Ops Ruthless performance audits and meeting intelligence Elon Algorithm, Meeting-to-Action Extractor
Sidebar Prioritizer Reset Codex sidebar priorities and label tasks by work category and inactivity P0–P4 Priorities, B7 Age Markers, Follow-up Evidence, Verified Labels
Sales Playbook Value-based pricing framework that turns $10K deals into $100K deals Pre-Call Briefing, Tiered Packager, Call Analyzer, Pattern Library
Autoresearch Karpathy-inspired optimization loops for conversion content — 50+ variants, expert scoring, evolved winners Variant Generator, Expert Panel Scorer, Evolution Engine
Deck Generator AI-generated slide decks with consistent visual styles in minutes Image Generator, Google Slides Builder, Style Presets
YT Competitive Analysis Find outlier videos and packaging patterns across any YouTube channels Outlier Detector, Title Pattern Extractor, Channel Benchmarker
YouTube Packaging Create, render, revise, and learn from evidence-backed title-thumbnail packages Channel Profiles, Package Scoring, Visual QA, Performance Learning
Video Content Engine Diagnose any video and route it into the strongest justified content portfolio Long-form Optimizer, Shorts Engine, Tutorial, Case Study, Paid Creative
Video Analysis Read transcripts first and inspect video silently when visuals or timing matter Transcript Review, Demo Verification, Clip Boundaries
Agentic Video Understanding Goal-directed moment extraction from long video/audio via Gemini (cheaper than fixed-FPS ingest) Moment Finder, Hook Hunt, Call Mining, Loom Bar Evidence
Show-and-Tell Video Slate Turn real builds and first-party proof into ranked 15-minute video episodes before production Evidence Inventory, Episode Scoring, Packaging Gates, Shoot Order
Shortform Production Produce readable shorts and deliver approved clips through the API V5 Style, Hook Previews, Editorial Review, Metricool Delivery
Shortform Idea Grill Interview, score, and rank proof-led short-form video ideas Five-Second Hooks, Three-Second Scores, Talking Bullets, CTA Mapping
Shortform Format Library Maintain visual format references and match content ideas to recording outlines Content Spikes, Creator Discovery, Freshness, Edit Briefs, Lead-Magnet Handoff
Net-New Video Editor Turn fresh talking-head recordings into reversible, review-ready vertical drafts JSON Edit Plans, FFmpeg Rendering, Captions, Hook Cards, Visual QA
X Long-Form + Humanizer Write X articles that sound human — with a 24-pattern AI slop detector Post Writer, Humanizer Checklist, ASCII Diagram Builder

🚀 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

🧠 How These Work with Claude Code

Every category includes a SKILL.md file. Copy the complete skill directory when it also contains scripts/, references/, agents/, or other bundled files. Copying only SKILL.md will leave those workflows incomplete.

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

For a bundled skill such as YouTube Packaging, install the full directory:

cp -R ai-marketing-skills/packaging-youtube-thumbnails \
  .claude/skills/packaging-youtube-thumbnails

Other agent harnesses should import the same complete directory and use its SKILL.md as the entry point. OpenAI-compatible harnesses can also read agents/openai.yaml for display metadata and the default prompt.

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


📊 What Makes These Different

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


📁 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
│   └── ...
├── personal-strategic-signal-intelligence/  ← Private signals → decision intelligence
│   ├── SKILL.md
│   └── README.md
├── 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

🔒 Privacy & Security

Every skill is built with data privacy in mind:

# 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

📡 Telemetry (Opt-In)

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

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

# Check for updates
python3 telemetry/version_check.py

See telemetry/README.md for details.


🤝 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

📄 License

MIT License. Use these however you want.


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


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ai-marketing-skills (ericosiu/ai-marketing-skills)

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Что это?Коллекция open source-навыков для Claude Code для команд маркетинга и продаж: эксперименты по росту, автоматизация воронки продаж, контент-операции, исходящие продажи, SEO, финансовые операции и видеопроизводство. Это полноценные рабочие процессы -- скрипты, алгоритмы скоринга, экспертные панели и пайплайны автоматизации, -- созданные командой Single Brain и проверенные на реальных приносящих доход процессах.
Это просто шаблоны промптов или нечто большее?Каждый навык — полноценная директория с точкой входа SKILL.md плюс папками scripts/, references/ и иногда agents/ -- реальный код автоматизации и статистика, а не просто инструкции для модели.
Как добавить один из этих навыков в свой проект?Скопируйте полную директорию навыка (не только SKILL.md) в свою настройку Claude Code, затем попросите Claude Code его запустить, например: 'Запусти эксперимент, сравнивающий карусели и статичные посты в LinkedIn.'
Нужен именно Claude Code или можно использовать другого агента?Основная цель — Claude Code, но любой AI-агент для кодинга может импортировать ту же директорию и использовать SKILL.md как точку входа; каркасы, совместимые с OpenAI, могут читать agents/openai.yaml для метаданных промптов, а скрипты работают на Python 3.
Что будет, если скопировать только файл SKILL.md?Встроенным навыкам (например, YouTube Packaging) нужны и их папки scripts/, references/ и agents/ -- если взять только SKILL.md, рабочий процесс останется неполным.
Отправляет ли это куда-то данные моей компании?PII Sanitizer сканирует код и данные на наличие чувствительной информации перед каждым коммитом и блокируется pre-commit-хуком; телеметрия включается вручную и логирует только имя навыка, длительность, успех/неудачу, версию и ОС -- никакого кода, путей к файлам или содержимого репозитория.
Почему экспериментам Growth Engine можно доверять?Он проверяет маркетинговые эксперименты с помощью бутстрап-доверительных интервалов и U-теста Манна-Уитни, а не оценки результатов на глаз.
Что делает Deal Resurrector?Он оживляет зависшие сделки продаж с помощью трех аналитических слоев, включая функцию 'follow the champion', которая отслеживает ушедшие контакты на их новых местах работы.
Какие навыки, связанные с видео, включены?Несколько: анализ конкурентов на YouTube, упаковка YouTube-видео, производство коротких роликов, анализ видео и совершенно новый видеоредактор, превращающий сырые записи в вертикальные черновики с рендером через FFmpeg.
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ericosiu
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CommitSep 22
Age
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Commits · 90 Days