{"id":78480,"plugin_id":"plugin_asdk_app_6ae87ada8d608191ad2a865782a9f207","kind":"skill","collection_source":"plugin_package","comparison_source":null,"observed_at":"2026-11-03T12:13:56.363Z","digest":"ea8bb8581d7c4324b779519f4d522dda6473817ab5a0604d2fbd68afb41f1a0a","against":null,"payload":{"description":"Build a retailer-specific plan for monetizable onsite, offsite and in-store inventory, packaging, demand, fill and yield.","included_files":[],"name":"inventory-yield-plan","skill_md_contents":"---\nname: inventory-yield-plan\ndescription: Build a retailer-specific plan for monetizable onsite, offsite and in-store inventory, packaging, demand, fill and yield.\n---\n\n# Inventory and yield plan\n\nUse this skill when a retailer wants to map inventory or improve fill rate, pricing, packaging or yield.\n\n1. Establish available surfaces, audience signals, store estate, existing ad stack, demand sources, pricing controls and measurement constraints.\n2. Use `search_osmos_knowledge` to retrieve relevant Osmos pages for onsite, offsite, in-store, demand, ad packages, mediation and data monetization. Cite every factual claim.\n3. Map each surface to an inventory product, buyer, pricing basis, measurement signal, operational owner and dependency.\n4. Recommend a sequence for packaging inventory, setting floors or priority rules, validating demand and measuring fill and yield. Label recommendations as proposals.\n5. Return an inventory map, a first package set, an experiment backlog, required integrations and stop/go criteria.\n\nDo not promise fill, CPM, advertiser demand or revenue. Do not use unsupported product claims as proof. Do not launch campaigns, contact advertisers or collect contact details unless the user asks for an Osmos expert follow-up.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}