ericosiu

ai-marketing-skills

AI#Automation#Marketing#Claude Code #Python

// summary

AI Marketing Skills is an open-source project designed for marketing and sales teams, providing a series of ready-to-run automated workflows and scripts. These tools are designed to integrate with Claude Code or other AI coding agents, optimizing business processes through expert panels, scoring algorithms, and automated pipelines. The project covers professional skills in various fields, ranging from growth experiments and sales lead mining to content operations and financial analysis.

// technical analysis

AI Marketing Skills is an open-source collection of workflows designed for Claude Code and other AI coding agents, aimed at automating marketing and sales tasks. The project moves beyond simple prompts, instead providing complete business processes that include scripts, scoring algorithms, and expert panels that can be embedded directly into actual development environments. Its core design philosophy lies in automating business operations through executable logic, solving inefficiencies in experimentation, content production, and lead processing for marketing teams, while emphasizing decision-making processes based on statistics and real data.

// key highlights

Provides a growth experimentation engine based on statistics (such as the Mann-Whitney U test), ensuring marketing decisions are based on data rather than intuition.

Built-in expert panel system that ensures content production quality consistently meets high standards through a recursive scoring mechanism.

Includes lead resurrection and intent scoring tools that can automatically identify and convert potential customers, improving sales funnel efficiency.

Integrates privacy protection mechanisms, ensuring sensitive data is handled securely during automation through PII scrubbers and pre-commit hooks.

Supports direct integration of skill definition files (SKILL.md) into Claude Code, enabling AI agents to call complex business logic directly.

Provides comprehensive operational support, covering various marketing scenarios from SEO optimization and financial analysis to podcast content distribution.

// use cases

Growth Engine: Achieve self-iteration of marketing strategies through automated experiment execution, measurement, and optimization.

Sales Pipeline Automation: Utilize intent scoring and lead mining to convert anonymous website visitors into high-quality sales leads.

Content Operations: Ensure that produced content consistently maintains high-scoring standards through expert panels and quality gating mechanisms.

// getting started

Developers first need to clone the repository, enter the specific skill directory, and install the dependencies in requirements.txt. Subsequently, by configuring the .env file to set the necessary API keys, you can run the Python scripts directly or copy the SKILL.md file in that directory to the .claude/skills/ directory of your Claude Code project so that the AI agent can call the relevant functions directly.