ai-marketing-skills  by ericosiu

AI marketing and sales automation workflows for AI agents

Created 2 weeks ago

New!

1,737 stars

Top 24.2% on SourcePulse

GitHubView on GitHub
Project Summary

Summary

This repository provides a suite of open-source, battle-tested AI marketing and sales skills designed for integration with AI coding agents like Claude Code. Developed by Single Brain, these are complete, revenue-generating workflows rather than simple prompts, automating complex tasks across growth experiments, sales pipelines, content operations, outbound sales, SEO, finance, and more. The skills aim to empower marketing and sales teams with advanced, data-driven automation.

How It Works

The project offers distinct "skills," each representing a comprehensive automation pipeline with associated scripts, algorithms, and scoring mechanisms. These skills are designed for direct integration into AI coding agents by dropping a SKILL.md file into the agent's project directory. The AI agent can then execute these skills, leveraging underlying statistical methods (e.g., bootstrap confidence intervals, Mann-Whitney U tests) and multi-layered intelligence (e.g., "follow the champion" contact tracking, recursive expert panel scoring) for sophisticated marketing and sales operations.

Quick Start & Requirements

  • Primary install / run command: Clone the repository, navigate to a specific skill directory (e.g., growth-engine), install dependencies with pip install -r requirements.txt, copy .env.example to .env, and edit with API keys.
  • Non-default prerequisites and dependencies: Requires API keys for various services (configured via .env file), Python. Each skill category may have specific dependencies detailed in its own README.
  • Links: Repository URL: https://github.com/singlegrain/ai-marketing-skills.git

Highlighted Details

  • Growth Engine employs statistical methods like bootstrap confidence intervals and Mann-Whitney U tests for autonomous experiment execution and optimization.
  • Sales Pipeline's Deal Resurrector utilizes three intelligence layers, including "follow the champion" logic to track leads to new companies.
  • Content Ops features an Expert Panel that recursively scores content against domain-specific personas to ensure quality benchmarks (90+) are met.
  • RB2B Router in Sales Pipeline performs intent scoring, seniority-based company deduplication, and agency classification before initiating outbound sequences.

Maintenance & Community

These skills are developed and maintained by the team at Single Brain. Contribution guidelines are available in CONTRIBUTING.md. Links to Single Brain's website and a marketing newsletter are provided for further engagement.

Licensing & Compatibility

The project is released under the MIT License, allowing for broad use, modification, and distribution. This license is generally compatible with commercial use and closed-source applications.

Limitations & Caveats

Effective use requires an AI coding agent capable of interpreting and executing the SKILL.md format. Setup necessitates the acquisition and configuration of numerous API keys for external services, which may incur costs. The performance and accuracy of the skills are contingent upon the quality of input data and the capabilities of the underlying AI agent.

Health Check
Last Commit

6 days ago

Responsiveness

Inactive

Pull Requests (30d)
2
Issues (30d)
1
Star History
1,747 stars in the last 15 days

Explore Similar Projects

Feedback? Help us improve.