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live-product-lineup现场产品阵容

Agent Skill

live-product-lineup 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

2,497

周安装

102

GitHub Stars

公开资料未说明

下载量

808
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:live-product-lineup(现场产品阵容)
来源仓库:https://github.com/leooooooow/live-product-lineup
安装命令:
openclaw skills install live-product-lineup
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 live-product-lineup

简介

根据价格锚定、受众热身和高峰参与时间,规划 TikTok Live 会话的最佳产品展示顺序。

SKILL.md

name
live-product-lineup
description
Plan the optimal product reveal order for TikTok Live sessions based on price anchoring, audience warmup, and peak engagement timing.

Live Product Lineup

A TikTok Live session with the wrong product order leaves money on the table even when GMV is high — the hero product drops before the audience has warmed up, the cheap impulse item lands after the expensive anchor, and the replenishment SKU never gets its moment. This skill designs a minute-by-minute product reveal plan that uses price anchoring, viewer accumulation curves, and category momentum to squeeze more conversions from every hour you go live.

Use when

  • A TikTok Shop seller is planning a 60-to-180 minute Live and asks "which product should I show first, and when do I drop the hero?"
  • A brand team wants to sequence a launch Live around a new hero SKU and fill the surrounding slots with existing catalog
  • A Live host or agency needs a structured rundown with on-air cues, price reveal timing, coupon pushes, and audience-call-to-action moments
  • A seller is debriefing a low-performing Live and wants to diagnose whether the lineup ordering — not the products themselves — was the problem

What this skill does

Takes the planned Live duration, the product catalog for the session, target audience, and (optionally) historical Live analytics, and produces a time-coded rundown that distributes products across the Live based on three principles: warmup (low-commitment, high-curiosity SKUs in the first 15 minutes while the audience accumulates), anchor (the highest-margin hero drops at peak concurrent viewer count), and retention (replenishment and discount SKUs in the tail to keep late-joiners converting). It assigns each slot a talk-track angle, CTA, and the exact moment to push the pinned product link.

Inputs required

  • Live session length and start time (required): so the rundown can map to actual clock minutes, not just relative offsets
  • Product list with prices, margins, stock levels (required): needed to route anchor vs. impulse vs. replenishment roles
  • Goal of the session (required): launch hype, GMV maximization, inventory clear-out, or follower growth — each reshapes the lineup
  • Historical Live data (optional): past concurrent-viewer curves, average watch time, best-performing SKUs
  • Known audience demographic or past comment themes (optional): helps tune talk-track angles

Output format

A structured rundown in three layers. The minute-by-minute schedule lists every product, its role (warmup, anchor, impulse, replenishment), the planned reveal window, and the price or coupon moment. The host cue sheet gives each slot a spoken hook, a demo beat, and a call-to-action script tailored to the audience state at that minute. The contingency block lists two or three backup SKUs to pull in if concurrent viewers drop below a threshold, plus the rules for extending or cutting segments in real time.

Scope

  • Designed for: TikTok Shop sellers, Live hosts, MCN agencies, and brand teams running their own Live channels
  • Platform context: optimized for TikTok Shop Live; principles adapt to Shopee Live, Lazada LiveStream, and Amazon Live with platform-specific notes
  • Language: English

Limitations

  • Does not pull real-time viewer counts; rundown assumes a typical concurrency curve unless you provide historical data
  • Cannot predict algorithm-driven viewer surges from For You page pushes
  • Host charisma and product demo quality remain the dominant GMV drivers — lineup ordering is a multiplier, not a substitute

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

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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。

平台分布

OpenClaw

81.51%
按下载量换算659

安全审计

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ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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