Ads Budget
Handles budget allocation and bidding strategy across ad platforms using the 70/20/10 allocation rule (proven/scaling/testing channels), platform-specific bidding decision trees, and automated kill/scale recommendations. Checks your spend distribution against benchmarks, flags campaigns with CPA over 3x target for pausing, and identifies scale candidates using the 20% budget increase rule. Covers Google, Meta, LinkedIn, TikTok, Microsoft, and Apple Ads with current bidding strategies like Google AI Max and TikTok Smart+ modular control. Most useful when you need to justify budget shifts or clean up underperforming campaigns with actual frameworks instead of gut feel. Requires at least 14 days of spend data to give you anything actionable.
- skills.sh installs
- 4.2K
- GitHub stars
- 10.9K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add agricidaniel/claude-ads --skill ads-budget --agent claude-codeInstalls into .claude/skills of the current project.
Files
Budget and Bidding
- Establish objective, conversion value, gross margin, cash constraints, sales capacity, attribution uncertainty, seasonality, and platform minimum evidence.
- Normalize spend and outcomes to comparable windows and definitions.
- Calculate break-even boundaries and show formulas, inputs, uncertainty, and sensitivity cases.
- Distinguish committed baseline, controlled experiments, and reserve capacity.
- Compare hold, reallocate, scale, reduce, or experiment options using marginal evidence rather than blended averages alone.
- Return a decision-complete plan with platform/campaign amount, timing, owner, guardrails, success measure, and rollback trigger.
Rules such as 70/20/10, fixed CPA multiples, fixed budget-to-CPA ratios, and fixed percentage scaling are optional heuristics, never universal authorization.
Sponsors
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- Repository
- github.com/agricidaniel/claude-ads
- Categories
- Git & Pull Requests, Code Review & Quality, Productivity & Planning
- First seen
- May 16, 2026
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