ericosiu

ericosiu / ai-marketing-skills

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Open-source AI marketing skills for Claude Code — growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation

16
6
100% credibility
Found Mar 29, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of open-source Python scripts providing ready-to-run workflows for automating marketing and sales tasks such as content quality scoring, growth experiments, and lead pipeline management.

How It Works

1
🔍 Discover free marketing helpers

You find this collection of simple tools that automate everyday marketing tasks like checking content quality or running growth experiments.

2
📂 Pick your first helper

Choose a category that matches your need, like improving content or turning website visitors into leads.

3
🧠 Connect your style and run it

Tell the tool about your brand voice or website details so it works just like your team would.

4
📤 Feed in your work

Upload drafts, visitor data, or experiment ideas and let the tool analyze everything automatically.

5
✅ Get smart scores and fixes

See instant quality scores, revival ideas for old leads, or winning experiment suggestions with clear reasons why.

🚀 Your marketing gets better automatically

Publish higher-quality content, resurrect lost deals, or scale winning experiments – everything improves without extra effort.

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AI-Generated Review

What is ai-marketing-skills?

This Python repo packs open-source AI marketing skills for Claude Code, delivering ready-to-run workflows for growth experiments, sales pipelines, content operations, outbound automation, SEO scouting, and finance analysis. Drop scripts into your AI agent to automate tasks like A/B testing with statistical scoring, content quality gates that filter 90+ drafts, or CFO briefings from QuickBooks exports. It's github open source tools tailored for ai marketing skills in digital marketing, turning vague ideas into plug-and-play pipelines.

Why is it gaining traction?

These aren't fluffy prompts—they're complete, battle-tested automations with real stats like bootstrap confidence intervals and Mann-Whitney U tests, auto-promoting winners to a living playbook. Developers grab it for ai powered marketing skills that integrate directly with Claude Code, skipping boilerplate setup for open source marketing automation tools. The quick-start CLI commands and per-category READMEs make it dead simple to spin up experiments or score content batches.

Who should use this?

Growth hackers testing post formats or email subjects, content ops leads gating drafts before publish, sales teams resurrecting stalled deals via ICP analyzers, outbound pros auditing Instantly campaigns, SEO managers scouting trends via Google Search Console, or bootstrapped founders pulling finance insights without a full-time CFO. Ideal for ai marketing skillsfuture courses or marketing ai training skills users experimenting with Claude.

Verdict

Worth forking for prototyping open source marketing automation platforms—CLI-driven, MIT-licensed, and focused on user value—but 16 stars and 1.0% credibility score signal early-stage maturity with thin docs and no tests. Test on real data before scaling; it's a strong ai skills for digital marketing starter, not production-ready yet.

(198 words)

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