[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-74143":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":23,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":27,"readmeContent":28,"aiSummary":29,"trendingCount":16,"starSnapshotCount":16,"syncStatus":30,"lastSyncTime":31,"discoverSource":32},74143,"ai-marketing-skills","ericosiu\u002Fai-marketing-skills","ericosiu","Open-source AI marketing skills — growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation","https:\u002F\u002Fwww.singlegrain.com",null,"Python",2565,549,25,1,0,19,48,259,57,30.22,"MIT License",false,"main",true,[],"2026-06-12 02:03:22","# AI Marketing Skills\n\n**Open-source Claude Code skills for marketing and sales teams.** Built by the team at [Single Brain](https:\u002F\u002Fsinglebrain.com\u002F?utm_source=github&utm_medium=skill_repo&utm_campaign=ai_marketing_skills) — battle-tested on real pipelines generating millions in revenue.\n\nThese 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.\n\n---\n\n## 🗂️ Skills\n\n| Category | What It Does | Key Skills |\n|----------|-------------|------------|\n| [**Growth Engine**](.\u002Fgrowth-engine\u002F) | Autonomous marketing experiments that run, measure, and optimize themselves | Experiment Engine, Pacing Alerts, Weekly Scorecard |\n| [**Sales Pipeline**](.\u002Fsales-pipeline\u002F) | Turn anonymous website visitors into qualified pipeline | RB2B Router, Deal Resurrector, Trigger Prospector, ICP Learner |\n| [**Content Ops**](.\u002Fcontent-ops\u002F) | Ship content that scores 90+ every time | Expert Panel, Quality Gate, Editorial Brain, Quote Miner |\n| [**Outbound Engine**](.\u002Foutbound-engine\u002F) | ICP definition to emails in inbox — fully automated | Cold Outbound Optimizer, Lead Pipeline, Competitive Monitor |\n| [**SEO Ops**](.\u002Fseo-ops\u002F) | Find the keywords your competitors missed | Content Attack Briefs, GSC Optimizer, Trend Scout |\n| [**Finance Ops**](.\u002Ffinance-ops\u002F) | Your AI CFO that finds hidden costs in 30 minutes | CFO Briefing, Cost Estimate, Scenario Modeler |\n| [**Revenue Intelligence**](.\u002Frevenue-intelligence\u002F) | Prove content ROI and turn sales calls into strategy | Gong Insight Pipeline, Revenue Attribution, Client Report Generator |\n| [**Conversion Ops**](.\u002Fconversion-ops\u002F) | Score any landing page and turn survey data into lead magnets | CRO Audit, Survey-to-Lead-Magnet Engine |\n| [**Podcast Ops**](.\u002Fpodcast-ops\u002F) | One episode → 20+ content pieces across every platform | Podcast-to-Everything Pipeline, Content Calendar |\n| [**Team Ops**](.\u002Fteam-ops\u002F) | Ruthless performance audits and meeting intelligence | Elon Algorithm, Meeting-to-Action Extractor |\n| [**Sales Playbook**](.\u002Fsales-playbook\u002F) | Value-based pricing framework that turns $10K deals into $100K deals | Pre-Call Briefing, Tiered Packager, Call Analyzer, Pattern Library |\n| [**Autoresearch**](.\u002Fautoresearch\u002F) | Karpathy-inspired optimization loops for conversion content — 50+ variants, expert scoring, evolved winners | Variant Generator, Expert Panel Scorer, Evolution Engine |\n| [**Deck Generator**](.\u002Fdeck-generator\u002F) | AI-generated slide decks with consistent visual styles in minutes | Image Generator, Google Slides Builder, Style Presets |\n| [**YT Competitive Analysis**](.\u002Fyt-competitive-analysis\u002F) | Find outlier videos and packaging patterns across any YouTube channels | Outlier Detector, Title Pattern Extractor, Channel Benchmarker |\n| [**X Long-Form + Humanizer**](.\u002Fx-longform-post\u002F) | Write X articles that sound human — with a 24-pattern AI slop detector | Post Writer, Humanizer Checklist, ASCII Diagram Builder |\n\n---\n\n## 🚀 Quick Start\n\nEach skill category has its own README with setup instructions. The general pattern:\n\n```bash\n# 1. Clone the repo\ngit clone https:\u002F\u002Fgithub.com\u002Fericosiu\u002Fai-marketing-skills.git\ncd ai-marketing-skills\n\n# 2. Pick a category\ncd growth-engine  # or sales-pipeline, content-ops, etc.\n\n# 3. Install dependencies\npip install -r requirements.txt\n\n# 4. Set up environment variables\ncp .env.example .env\n# Edit .env with your API keys\n\n# 5. Run\npython experiment-engine.py create \\\n  --hypothesis \"Thread posts get 2x engagement vs single posts\" \\\n  --variable format \\\n  --variants '[\"thread\", \"single\"]' \\\n  --metric impressions\n```\n\n---\n\n## 🧠 How These Work with Claude Code\n\nEvery category includes a `SKILL.md` file. Drop it into your Claude Code project and the AI agent knows how to use the tools:\n\n```\n# In your project directory\ncp ai-marketing-skills\u002Fgrowth-engine\u002FSKILL.md .claude\u002Fskills\u002Fgrowth-engine.md\n```\n\nThen ask Claude Code: *\"Run an experiment testing carousel vs. static posts on LinkedIn\"* — it handles the rest.\n\n---\n\n## 📊 What Makes These Different\n\n**These aren't toy demos.** Each skill was built to run real business operations:\n\n- **Growth Engine** uses bootstrap confidence intervals and Mann-Whitney U tests — real statistics, not vibes\n- **Deal Resurrector** has three intelligence layers including \"follow the champion\" — tracking departed contacts to their new companies\n- **ICP Learner** rewrites your ideal customer profile based on actual win\u002Floss data — your targeting improves automatically\n- **Expert Panel** recursively scores content with domain-specific expert personas until quality hits 90+\n- **RB2B Router** does intent scoring, seniority-based company dedup, and agency classification before routing to outbound sequences\n\n---\n\n## 📁 Repository Structure\n\n```\nai-marketing-skills\u002F\n├── README.md              ← You are here\n├── growth-engine\u002F         ← Autonomous experiments\n│   ├── SKILL.md\n│   ├── experiment-engine.py\n│   ├── pacing-alert.py\n│   ├── autogrowth-weekly-scorecard.py\n│   └── ...\n├── sales-pipeline\u002F        ← Visitor → pipeline automation\n│   ├── SKILL.md\n│   ├── rb2b_instantly_router.py\n│   ├── deal_resurrector.py\n│   ├── trigger_prospector.py\n│   ├── icp_learning_analyzer.py\n│   └── ...\n├── content-ops\u002F           ← Quality scoring & production\n│   ├── SKILL.md\n│   ├── scripts\u002F\n│   ├── experts\u002F           ← 9 expert panel definitions\n│   ├── scoring-rubrics\u002F   ← 5 scoring rubric templates\n│   └── ...\n├── outbound-engine\u002F       ← Cold outbound automation\n│   ├── SKILL.md\n│   ├── scripts\u002F\n│   ├── references\u002F        ← ICP template, copy rules\n│   └── ...\n├── seo-ops\u002F               ← SEO intelligence\n│   ├── SKILL.md\n│   ├── content_attack_brief.py\n│   ├── gsc_client.py\n│   ├── trend_scout.py\n│   └── ...\n├── finance-ops\u002F           ← Financial analysis\n│   ├── SKILL.md\n│   ├── scripts\u002F\n│   ├── references\u002F        ← Metrics, rates, ROI models\n│   └── ...\n├── revenue-intelligence\u002F  ← Sales call insights + attribution\n│   ├── SKILL.md\n│   ├── gong_insight_pipeline.py\n│   ├── revenue_attribution.py\n│   └── client_report_generator.py\n├── conversion-ops\u002F        ← CRO + lead magnet generation\n│   ├── SKILL.md\n│   ├── cro_audit.py\n│   └── survey_lead_magnet.py\n├── podcast-ops\u002F           ← Podcast → content factory\n│   ├── SKILL.md\n│   └── podcast_pipeline.py\n├── team-ops\u002F              ← Performance audits + meeting intel\n│   ├── SKILL.md\n│   ├── team_performance_audit.py\n│   └── meeting_action_extractor.py\n└── sales-playbook\u002F        ← Value-based pricing framework\n    ├── SKILL.md\n    ├── value_pricing_briefing.py\n    ├── value_pricing_packager.py\n    ├── call_analyzer.py\n    └── pricing_pattern_library.py\n```\n\n---\n\n## 🔒 Privacy & Security\n\nEvery skill is built with data privacy in mind:\n\n- **PII Sanitizer** scans code and data for sensitive information before commits (`security\u002Fsanitizer.py`)\n- **Pre-commit hook** blocks commits containing detected PII patterns\n- **Configurable blocklists** for company names, person names, and custom patterns\n- See [`security\u002FREADME.md`](.\u002Fsecurity\u002FREADME.md) for setup\n\n```bash\n# Scan for sensitive data\npython3 security\u002Fsanitizer.py --scan --dir . --recursive\n\n# Install the pre-commit hook\ncp security\u002Fpre-commit-hook.sh .git\u002Fhooks\u002Fpre-commit && chmod +x .git\u002Fhooks\u002Fpre-commit\n```\n\n---\n\n## 📡 Telemetry (Opt-In)\n\nAnonymous usage telemetry helps us understand which skills people actually use. Fully opt-in, privacy-first:\n\n- **Local logging always** — see your own usage stats in `~\u002F.ai-marketing-skills\u002Fanalytics\u002F`\n- **Remote reporting optional** — only if you explicitly opt in on first run\n- **Data collected:** skill name, duration, success\u002Ffail, version, OS. Nothing else. No code, no file paths, no repo content.\n- **Version checks** — get notified when new skills are available\n\n```bash\n# View your local usage stats\npython3 telemetry\u002Ftelemetry_report.py\n\n# Check for updates\npython3 telemetry\u002Fversion_check.py\n```\n\nSee [`telemetry\u002FREADME.md`](.\u002Ftelemetry\u002FREADME.md) for details.\n\n---\n\n## 🤝 Contributing\n\nFound a bug? Have an improvement? PRs welcome. Read [`CONTRIBUTING.md`](.\u002FCONTRIBUTING.md) for guidelines.\n\n1. Fork the repo\n2. Create your feature branch (`git checkout -b feature\u002Fbetter-scoring`)\n3. Run `python3 security\u002Fsanitizer.py --scan` before committing\n4. Commit your changes\n5. Push to the branch\n6. Open a Pull Request\n\n---\n\n## 📄 License\n\nMIT License. Use these however you want.\n\n---\n\n*Star this repo if you find it useful. It helps others discover these tools.*\n\n---\n\n\u003Cdiv align=\"center\">\n\n**🧠 [Want these built and managed for you? →](https:\u002F\u002Fsinglebrain.com\u002F?utm_source=github&utm_medium=skill_repo&utm_campaign=ai_marketing_skills)**\n\n*This is how we build agents at [Single Brain](https:\u002F\u002Fsinglebrain.com\u002F?utm_source=github&utm_medium=skill_repo&utm_campaign=ai_marketing_skills) for our clients.*\n\n[Single Grain](https:\u002F\u002Fwww.singlegrain.com\u002F?utm_source=github&utm_medium=skill_repo&utm_campaign=ai_marketing_skills) · our marketing agency\n\n📬 **[Level up your marketing with 14,000+ marketers and founders →](https:\u002F\u002Flevelingup.beehiiv.com\u002Fsubscribe)** *(free)*\n\n\u003C\u002Fdiv>\n","ericosiu\u002Fai-marketing-skills 是一个开源的AI营销技能库，旨在为市场和销售团队提供从增长实验到财务自动化等多方面的支持。项目通过Python实现，涵盖了包括自主营销实验、销售管道优化、内容运营、外向营销、SEO操作、财务分析等多个核心功能模块。每个模块都包含完整的流程脚本、评分算法、专家小组评估及自动化管线，可以直接接入Claude Code或其他AI编码代理运行。此项目适用于希望利用AI技术提升营销效率与效果的企业或个人，特别是在需要快速生成高质量营销材料、优化销售流程以及进行市场分析等方面有着显著的应用价值。",2,"2026-06-11 03:49:01","high_star"]