Budget allocation and bidding strategy review across all ad platforms. Evaluates spend distribution, bidding strategy appropriateness, scaling readiness, and identifies campaigns to kill or scale. Uses 70/20/10 rule, 3x Kill Rule, and 20% scaling rule. Use when user says budget allocation, biddin...
--- name: ads-budget-f5416bd786da description: "Plan and review paid-media budgets, bidding, pacing, marginal return, targets, constraints, and allocation across supported platforms. Use for ad budget allocation, media budget, bidding strategy, scaling, spend pacing, ROAS target, or investment tradeoffs. Use ads-math for calculations and forecasts." --- # 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.--- name: ads-budget-f5416bd786da description: "Plan and review paid-media budgets, bidding, pacing, marginal return, targets, constraints, and allocation across supported platforms. Use for ad budget allocation, media budget, bidding strategy, scaling, spend pacing, ROAS target, or investment tradeoffs. Use ads-math for calculations and forecasts." --- # 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.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.