ads-budget
Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms. Use for ad budget allocation, media budget, bidding strategy, scaling, spend pacing, budget forecast, ROAS target, or investment tradeoffs.
npx skills add AgriciDaniel/claude-ads --skill ads-budget --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Budget and Bidding 1. Establish objective, conversion value, gross margin, cash constraints, sales capacity, attribution uncertainty, seasonality, and platform minimum evidence. 2. Normalize spend and outcomes to comparable windows and definitions. 3. Calculate break-even boundaries and show formulas, inputs, uncertainty, and sensitivity cases. 4. Distinguish committed baseline, controlled experiments, and reserve capacity. 5. Compare hold, reallocate, scale, reduce, or experiment options using marginal evidence rather than blended averages alone. 6. 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.
What does the ads-budget skill do?
Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms. Use for ad budget allocation, media budget, bidding strategy, scaling, spend pacing, budget forecast, ROAS target, or investment tradeoffs.
How do I install it?
Run `npx skills add AgriciDaniel/claude-ads --skill ads-budget --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From AgriciDaniel/claude-ads, a repository with 7,813 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.