This does the math on where your ad dollars are actually working. Feed it performance data across Google, Meta, LinkedIn, or TikTok and it calculates marginal ROI per channel, spots diminishing returns, and models reallocation scenarios to improve ROAS and CAC. Built around a 70/20/10 framework (proven channels, optimization tests, new experiments) with weekly monitoring checklists and specific scaling rules like "if CAC stays 15% below target for two weeks, increase spend 25%." It won't pull live data or touch your campaigns directly, but it will tell you exactly how to rebalance a multi-channel budget when something stops working or you need to justify scaling up.
npx -y skills add guia-matthieu/clawfu-skills --skill ad-spend-optimizer --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills