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.
git clone --depth 1 https://github.com/AgriciDaniel/claude-ads /tmp/ads-budget && cp -r /tmp/ads-budget/skills/ads-budget ~/.claude/skills/ads-budgetSKILL.md
# 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.
Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.
Amazon Ads evidence and controls specialist. Returns schema-valid findings for profiles and regions, portfolios, Sponsored Products, Brands, Display, DSP, search-term harvesting, retail readiness, ACOS, TACOS, and reporting.
Apple Ads evidence and controls specialist. Returns schema-valid findings for campaign and keyword structure, Search Match, placements, product pages, bidding, budget, AdServices attribution, and MMP reconciliation.
Budget and finance specialist. Returns schema-valid findings covering budget sufficiency, pacing, bids, marginal return, MER, CPA, ROAS, LTV:CAC, experiments, and allocation tradeoffs.
Cross-platform creative specialist. Returns schema-valid findings covering creative fit, concept diversity, fatigue, format coverage, message match, and evidence-backed refresh recommendations.
Google Ads evidence and controls specialist. Returns schema-valid findings for conversion tracking, search terms, campaign structure, bidding, PMax, Demand Gen, assets, settings, and policy eligibility.
LinkedIn Ads evidence and controls specialist. Returns schema-valid findings for Insight Tag and conversions, professional audiences, lead generation, creative, bidding, pacing, ABM, and policy eligibility.
Meta Ads evidence and controls specialist. Returns schema-valid findings for Pixel and CAPI, attribution, creative diversity and fatigue, account structure, audiences, placements, automation, and policy eligibility.