Agent skill · marketing growth · aradotso
ai-marketing-skills-tom-babb
Documented AI marketing workflows for content, distribution, brand systems, and campaign execution
Why this skill is useful
Provides documented workflows for AI-driven marketing processes that the AI wouldn't generate on its own.
What it needs
About 8k tokens when loaded. Last updated 2026-08-05. 8 stars on the source repository.
What this skill does
AI Marketing Skills by Tom Babb Skill by ara.so — Marketing Skills collection. What This Project Does ai-marketing-skills-with-by-tom-babb is a collection of battle-tested, repeatable AI marketing workflows built from real agency and in-house experience. Each skill is a documented process that collapses traditional multi-person marketing workflows into single-operator systems using AI tools. The repository contains workflows for: Distribution: Content scraping, lead generation, and multi-format content pipelines Brand: Visual system creation and brand operating systems (prompts as brand guides) Prompting: Constraint-based prompting, anti-slop techniques, and reverse prompting Content & Video: AI video production pipelines and personal content engines Paid Advertising: Google Ads campaign generation workflows Discoverability: GEO (Generative Engine Optimization) strategies Installation This is a documentation repository, not an installable package. Clone it to access the skills: Each skill lives in /skills/<skill-name>/SKILL.md with its own documentation, tools list, and step-by-step process. Repository Structure Key Workflows Anti-Slop Prompting The anti-slop workflow eliminates AI content patterns. Add this to the end of any content generation prompt: Usage Example: Brand Operating System Prompt Template Convert a brand guide into reusable AI prompts. Structure: Constraint Prompting Pattern Every prompt should separate context from constraints: Example: Reverse Prompting for Images Extract prompts from existing images you want to replicate: Knowledge Scrape to Content Workflow Process for turning online discussions into ranked content: 1. Scrape Sources (Reddit, forums, YouTube comments): 2. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/ai-marketing-skills-tom-babb