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Use when the user asks to optimise the price of a product or category, find the margin-maximising price, decide how deep a discount can go, or respond to a specific competitor price. Produces an elasticity- and margin-grounded pricing recommendation.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Operations runbook for the agentic-supply-chain repo. USE THIS SKILL when the user asks to deploy, build, provision, ingest, index, register, or clean up any part of the project — including infrastructure (azd), container images, Container Apps, AI Search indexes, Foundry toolboxes, and hosted agents. Covers the full lifecycle: provision → build → index → ingest → deploy → register → clean up.
Use when the user asks to plan a promotional campaign, build a weekly flyer, decide which products to discount, or design a multi-week promotion calendar. Produces a structured, margin-aware campaign plan grounded in competitor promotions and internal pricing.
Use when the user asks how a category or the overall assortment is performing, where the margin and volume sit, which products or categories are strong or weak, or where there is headroom to grow margin. Produces an evidence-backed portfolio view across categories and personas.
| name | pricing-optimization |
| description | Use when the user asks to optimise the price of a product or category, find the margin-maximising price, decide how deep a discount can go, or respond to a specific competitor price. Produces an elasticity- and margin-grounded pricing recommendation. |
Recommend the price for a product (or set of products) that maximises weekly gross margin given internal cost, demand elasticity and competitor pricing.
get_product_pricing for procurement cost and
logistics cost. The absolute floor is procurement_cost + logistics_cost;
never recommend at or below it.search_competitor_promotions for the same product
/ category to anchor on the cheapest competing price and the typical discount
depth.simulate_price_change at several candidate
prices (e.g. current, −10%, −20%, matching the competitor). Each call returns
the elasticity-driven volume and the resulting weekly margin.persona_id so the
elasticity reflects that shopper's price sensitivity.For each product return: floor price, competitor best price, current price and margin, recommended price, forecast volume at the recommendation, forecast weekly margin, and the margin delta vs today. State explicitly whether the move is accretive or dilutive and why.
unit_margin × volume), never unit margin alone.