This is essentially a navigation layer over the Awesome Marketing Science GitHub repo, giving you quick access to MMM libraries like Robyn and LightweightMMM, geo experimentation tools like GeoLift, and causal inference frameworks. It includes code snippets for common workflows, so you're not starting from scratch when you need to set up a media mix model or run a geo lift test. Most useful if you're working on marketing measurement problems and want a curated jumping-off point rather than googling your way through scattered documentation. The code examples are solid enough to adapt directly, though you'll still need to understand the underlying statistical methods to use any of this properly.
npx -y skills add aradotso/marketing-skills --skill awesome-marketing-science-guide --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
supercent-io/skills-template
supercent-io/skills-template
huangjia2019/claude-code-engineering
reactjs/react.dev
reactjs/react.dev