ericosiu/ai-marketing-skills

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

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Summary Information

Updated 9 minutes ago
Added to GitGenius on September 19th, 2026
Created on March 28th, 2026
Open Issues & Pull Requests: 13 (+0)
GitHub issues: Enabled
Number of forks: 684
Total Stargazers: 3,554 (+0)
Total Subscribers: 25 (+0)

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Tracked items: 1

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Open issues: 3
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 106 days
Stale 30+ days: 3
Stale 90+ days: 1

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Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

AI Marketing Skills is a collection of open-source Claude Code skills that automate marketing and sales workflows.

The project addresses the need for production-ready automation in marketing operations by providing complete workflows rather than simple prompts. It includes scripts, scoring algorithms, expert panels, and automation pipelines designed to integrate with Claude Code or other AI coding agents. The skills cover growth experiments, sales pipeline management, content operations, outbound campaigns, SEO, and finance automation. Each skill is built as a functional workflow that can be deployed directly into existing marketing systems.

Marketing and sales teams looking to automate repetitive operations should consider this tool, particularly those already using Claude Code or similar AI agents. The project suits organizations that want battle-tested workflows rather than starting from scratch with custom prompts. Teams managing revenue-generating pipelines and seeking to reduce manual work in areas like lead scoring, content scheduling, or campaign analysis will find the most value. The skills are positioned as production-ready rather than experimental, suggesting they have been validated against real business processes.

The project shows active development with regular commits and updates across multiple skill implementations. The codebase demonstrates ongoing refinement of individual workflows and the addition of new skill categories. Documentation is maintained alongside code changes, indicating attention to usability as the project evolves. The repository maintains a focus on practical, deployable solutions rather than theoretical explorations.