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Agent Skill · 研究检索

discount-optimizer(折扣优化器)

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。

discount-optimizer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为权限未标注;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 25,107。

总安装 3,843周安装 157GitHub Stars 公开资料未说明下载 1,231核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install discount-optimizer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

discount-optimizer 怎么安装?

在终端执行 openclaw skills install discount-optimizer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

discount-optimizer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

discount-optimizer 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

discount-optimizer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

discount-optimizer 用的人多吗?

公开数据是累计安装 3,843 次,近一周安装 157 次,下载 1,231 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

discount-optimizer 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
discount-optimizer

折扣优化器 · 本页

3,843—权限未标注MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

平台分布

OpenClaw

82.66%
按下载量换算1,018

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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