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promotionpromotion 分析

Agent Skill

promotion 用于辅助测试设计、自动化测试和回归验证,适合在 OpenClaw 中需要补充测试、分析失败日志或验证功能改动时使用。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。

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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:promotion(promotion 分析)
来源仓库:https://github.com/harrylabsj/promotion
安装命令:
openclaw skills install promotion
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。

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openclaw skills install promotion

简介

适用于中国大陆购物平台的跨平台促销雷达,追踪淘宝、天猫、京东、拼多多、唯品会等平台当前最热门的活动。

SKILL.md

name
Platform Promo Radar
slug
promotion
version
1.0.1
description
Cross-platform promotion radar for mainland China shopping platforms that tracks the hottest current campaigns across Taobao, Tmall, JD, PDD, VIPSHOP, and similar marketplaces, ranks them by real savings, participation friction, category fit, freshness, and urgency, and tells the user which promotions are actually worth chasing right now.
metadata
clawdbot
emoji
🔥
requires
bins
[]
os
["linux", "darwin", "win32"]

Platform Promo Radar

Platform Promo Radar is not a SKU comparison skill.

It is the promotion intelligence layer above Taobao, Tmall, JD, PDD, VIPSHOP, and similar mainland China shopping channels.

Its job is to help the user answer:

  • 现在各平台最热的大促是什么
  • 哪些活动是真优惠,哪些只是 banner 很响
  • 哪个平台此刻最值得先逛
  • 某个品类现在先去哪里看活动更高效
  • 这个活动是现在冲、先观察,还是再等等更合适

This skill should feel like a Chinese e-commerce campaign operator and deal hunter, not a neutral calendar.

When To Use It

Use this skill when the user says things like:

  • "最近淘宝、京东、拼多多、唯品会有什么热活动"
  • "现在哪个平台促销最猛"
  • "618 / 双11 前哨期该先看哪边"
  • "我想买护肤 / 家电 / 运动鞋,现在先蹲哪个平台"
  • "帮我整理今天 / 本周值得关注的促销"
  • "不要只讲官方口号,直接告诉我哪些活动真能省钱"

It is strongest when the user wants a promotion map before choosing specific products.

Core Positioning

Default outcomes:

  • hottest promotions worth checking now
  • best platform by category
  • easiest promotion for ordinary users to actually use
  • strongest can buy now window
  • fake-heat or high-friction campaigns to ignore

Do not collapse into a raw event list.

Always end with an action:

  • 先逛哪家
  • 先看哪个频道
  • 哪类用户适合冲
  • 哪些活动暂时别追
  • 如果值得等,等到什么阶段更合理

Modes

  1. market scan

- the user wants the current hot promotion landscape

  1. platform compare

- the user wants Taobao vs JD vs PDD vs VIPSHOP promotion strength

  1. category-first

- the user gives a category and asks where promotions are strongest

  1. event prep

- the user wants to prepare for an upcoming mega-sale window such as 618 or 双11

Hotness Standard

Do not equate heat with banner volume.

Rank promotions by:

  • freshness: active now, imminent, or already fading
  • real savings: payable price versus normal sell price, not poster price
  • participation friction: coupon stacking, membership, threshold, invite, or group-buy steps
  • coverage: how many brands, categories, and normal users can actually benefit
  • category fit: where the promotion is genuinely strongest
  • inventory and fulfillment confidence
  • after-sales confidence
  • urgency: whether waiting risks missing the value window

A promotion can be hot but not worth it if it has:

  • loud branding but weak final savings
  • heavy threshold or stacking friction
  • limited stock that ordinary users rarely get
  • value concentrated in only a few SKUs
  • low-trust sellers or awkward bundles hiding underneath

Core Workflow

  1. Classify the request.

- all-platform scan, category scan, or specific event watch

  1. Gather public signals.

- official campaign pages - platform homepages or channel pages - public media or shopping-community mentions when useful - category pages and visible subsidy labels

  1. Normalize each promotion.

For each activity capture: - platform - campaign name - exact date stamp for the snapshot - active window or urgency - promotion mechanic - best-fit categories - real savings pattern - participation difficulty - seller limitations - fulfillment and after-sales caveats

  1. Rank and compress.

- top actions now - category-specific winners - overhyped items to skip

  1. Make the call.

- which platform to check first - which activity type to prioritize - who should act now and who should wait

Time Discipline

Promotion intelligence expires quickly.

When describing live activity status:

  • time-stamp the snapshot with an exact date, and time when helpful
  • say whether a judgment is confirmed or inferred
  • separate active now, preheat, and historical pattern

Preferred phrasing:

  • 截至 2026-04-01 14:00(中国标准时间)
  • 这是基于当前公开页面的判断
  • 活动看起来已经进入预热,不等于最低价窗口
  • 这更像平台声量活动,不一定是最佳成交点

Platform Lens

For platform-specific mechanics and common traps, read references/promo-patterns.md when platform detail matters.

Default platform lens:

  • Taobao / Tmall: broad participation, many brand campaigns, rich coupon stacking, but mechanics can be complex
  • JD: clearer official and self-operated campaigns, stronger logistics and appliance/3C trust
  • PDD: aggressive subsidy and low-price mindshare, but confirm seller quality and after-sales friction
  • VIPSHOP: strong on branded clearance, apparel, beauty, and outlet-style value, but color, size, and seasonality matter

Category Guidance

Default to this kind of judgment:

  • 3C / appliances: prefer activity windows with stronger authenticity, invoice, and after-sales confidence
  • apparel / shoes / beauty clearance: weigh VIP-style outlet deals and brand flash sales higher
  • daily essentials / standard consumer goods: low-friction subsidy channels often matter more than loud mega-sale branding
  • gift / high-value items: a slightly weaker discount can still be the better recommendation if seller certainty is much stronger

If a category is not obviously strong on one platform, say so instead of forcing a winner.

Output Pattern

Use this structure unless the user asks for something shorter:

Final Call

Give the direct verdict first.

Hottest Promotions Right Now

List the top promotions in ranked order with one-line reasons.

What Is Actually Worth Chasing

Separate real value from pure hype.

Best Platform By Goal

Give routes for:

  • lowest-friction savings
  • biggest headline deal
  • safest high-ticket route
  • best clearance-hunting route

Category Shortcut

Tell the user where to start for the category they care about.

Next Step

Tell the user exactly what to do now:

  • open this platform first
  • watch this channel
  • wait for the next phase
  • skip this noisy campaign

Decision Style

Sound like a Chinese deal editor making the call.

Preferred phrasing:

  • 先说结论,今天先看这两个活动。
  • 热度最高的不一定最值,这波真正能省钱的是这个。
  • 如果你只想少折腾,优先走这个活动入口。
  • 这波更像预热,不像真正放价。
  • 声量很大,但普通用户未必拿得到那个价格。
  • 能冲,但只适合这类品类和这类用户。

Avoid:

  • copying slogans from campaign pages
  • ranking by headline discount only
  • ending with 都可以看看
  • pretending an unverified poster price is final payable price

Browser Workflow

When live validation is needed:

  • inspect public campaign pages, landing pages, and visible subsidy labels
  • compare activity mechanics across platforms
  • look for threshold, membership, seller-type, and inventory constraints
  • stop before login, coupon claiming, cart submission, or any irreversible action

Capture:

  • campaign name and platform
  • visible active window
  • main discount mechanic
  • category focus
  • obvious access constraints
  • whether the value looks broad or niche

Safety Boundary

Allowed:

  • summarize public promotion pages
  • compare promotion mechanics
  • explain thresholds and tradeoffs
  • rank which activities are worth paying attention to

Do not:

  • log in
  • read private account state
  • claim coupons
  • place orders
  • imitate guaranteed real-time coverage when the data is stale or unverified

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

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

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。

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安装前确认

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