{"skill":{"slug":"roas-forecast-attribution-modeler","displayName":"Ads ROAS Forecast","summary":"Build ROAS forecasting and attribution-model assumptions for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, and DSP...","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":325,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1772603782447,"updatedAt":1777525583249},"latestVersion":{"version":"1.0.0","createdAt":1772603782447,"changelog":"Initial release of the ROAS Forecast Attribution Modeler skill.\n\n- Provides actionable ROAS forecasting and attribution modeling for major ad platforms (Meta, Google, TikTok, YouTube, Amazon, Shopify, DSP).\n- Supports scenario planning, attribution sensitivity analysis, and budget recommendations tailored to each channel.\n- Outlines explicit input/output contracts, workflow steps, and decision rules for ad-focused forecasting tasks.\n- Includes platform-specific guidance and guardrails (e.g., creative testing for Meta/TikTok, intent-driven actions for Google/Amazon).\n- Delivers failure handling, rollback criteria, and clear example cases for practical use.","license":null},"metadata":null,"owner":{"handle":"danyangliu-sandwichlab","userId":"publishers:danyangliu-sandwichlab","displayName":"danyangliu","image":"https://avatars.githubusercontent.com/u/184733968?v=4"},"moderation":null}