Summary
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.
Install to Claude Code
npx -y skills add guia-matthieu/clawfu-skills --skill ad-spend-optimizer --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Integrate web data into your AI product. One API to scrape website & brand data.
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one prompt install →Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
