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discount-optimizer折扣优化器

Agent Skill

discount-optimizer 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,843

周安装

157

GitHub Stars

公开资料未说明

下载量

1,231
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:discount-optimizer(折扣优化器)
来源仓库:https://github.com/leooooooow/discount-optimizer
安装命令:
openclaw skills install discount-optimizer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install discount-optimizer

简介

根据单位成本、转化目标和库存周转率计算最佳折扣水平,以便促销活动在不破坏利润的情况下转移产品。

SKILL.md

name
discount-optimizer
description
Calculate optimal discount levels based on unit cost, conversion targets, and inventory velocity so promos move product without destroying margin.

Discount Optimizer

Promotional discounts are one of the fastest ways to drive volume on TikTok Shop — but cutting price without a margin model turns short-term spikes into long-term losses. This skill calculates mathematically grounded discount levels by working from your unit economics upward, ensuring every promotion moves product while protecting profit.

Use when

  • You are planning a TikTok Shop flash sale or platform-wide campaign and need to set a discount percentage that hits a GMV target without pushing gross margin below a minimum acceptable threshold.
  • You are evaluating whether a stacked promotion — platform voucher, affiliate commission, or creator coupon code — is still profitable after layering all cost components together.
  • You have aging inventory above a target days-on-hand threshold and want to find the minimum effective discount depth to accelerate sell-through before a reorder cycle.
  • You are comparing multiple discount mechanics such as percentage off, bundle pricing, or buy-one-get-one to determine which structure maximizes contribution margin at a given sell-through volume target.

What this skill does

Discount Optimizer takes your unit cost, current list price, minimum acceptable margin percentage, target conversion rate uplift, and inventory velocity data as inputs. It then runs a margin-preserved discount calculation that identifies the maximum allowable discount ceiling, models expected volume uplift using your conversion rate assumptions, and outputs a ranked set of discount scenarios with projected margin impact, break-even sell-through volumes, and a recommended promo price. Each scenario clearly shows the discounted price, resulting margin percentage, estimated units sold at projected conversion uplift, total contribution margin generated, and a break-even comparison against running no promotion. When stacked promotions including platform vouchers, creator commissions, and ad spend cost per order are included as inputs, the skill incorporates all of those cost layers before producing its final recommendation, ensuring nothing is hidden in the math.

Inputs required

  • unit_cost (required): Total landed cost per unit including cost of goods, inbound shipping, and standard platform fees. Example: $8.50 per unit.
  • list_price (required): Current selling price before any discount is applied. Example: $24.99.
  • min_margin_pct (required): Minimum acceptable gross margin percentage you are willing to accept during the promotional period. Example: 20%.
  • inventory_units (optional): Current stock on hand in units. Used to model sell-through scenarios and flag whether discount depth is justified by inventory pressure or not.
  • conversion_rate_baseline (optional): Current baseline conversion rate on the listing before discounting. Used to estimate volume uplift at different discount levels. Example: 2.4%.
  • stacked_costs (optional): Any additional per-unit cost layers such as affiliate commission rate, platform coupon subsidy cost, or blended ad cost per order. Example: 10% affiliate commission plus $1.20 ad cost per order.

Output format

The skill outputs a structured discount scenario table modeling three to five price points from a conservative five-percent discount up to the margin floor. For each scenario the output includes the discounted price, resulting gross margin percentage, estimated units sold at projected conversion uplift, total contribution margin generated, and a break-even comparison against running no promotion. A recommended scenario is highlighted with a plain-English rationale explaining why that discount level best serves the stated goal, whether that goal is margin protection, inventory clearance, or GMV volume maximization. Scenarios where stacked costs push the effective margin below the minimum acceptable threshold are flagged as unprofitable and excluded from the final recommendation so you never accidentally run a money-losing promo.

Scope

  • Designed for: TikTok Shop sellers, ecommerce brand operators, and performance marketing managers who run regular promotional events.
  • Platform: TikTok Shop, Shopify, Lazada, Shopee, and any ecommerce channel where promotional pricing is configurable.
  • Language: English

Limitations

  • Does not have access to real-time platform conversion data — conversion rate uplift assumptions must be provided or estimated by the operator based on historical data.
  • Does not automatically account for halo effects or post-promotion brand lift that may generate additional revenue beyond the promotional window.
  • Margin calculations assume fixed unit costs at current volumes; economies of scale or variable fulfillment costs at significantly higher volumes are not modeled unless explicitly provided as inputs.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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能力 3

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.66%
按下载量换算1,018

安全审计

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