菜单
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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.