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TikTok Trend Slayer
TikTok Shop 分析 工具kit: fetch influencer data via EchoTik API, optionally fetch product trending data via TikTok Shop Partner API, analyze cross-region trends, build collaboration plans, 创建 product selection 列出s, and plan video hook strategies.
TikTok 选品猎手是一款面向 TikTok 电商卖家的智能选品工具。通过自动监控 TikTok Shop 商品榜、EchoTik 数据接口，实时识别高增长爆款商品，并利用 AI 分析爆款视频的钩子（Hook）与结构，自动匹配合适的中腰部达人（KOC），帮助卖家快速发现蓝海品类与合作机会。在 TikTok 电商领域，领先 48 小时发现爆款意味着 10 倍的利润空间。传统的选品工具只告诉你“什么火了”，而 TikTok Trend Slayer 告诉你“什么即将火”以及“为什么火”。将原本需要 3 小时的手动刷榜和分析，缩短为 1 分钟的“选品简报”。
核心功能概述 （Core Features Overview） 黑马发现算法｜Dark Horse Discovery Algorithm
调用 TikTok Affiliate API 和 EchoTik 接口获取商品/达人数据，实时监测 GMV 增长斜率。当某个商品在 24 小时内销量增速翻倍，且挂车达人数仍处于低位时，系统将自动触发“蓝海预警”。
Leverages TikTok Affiliate and EchoTik APIs to fetch real-time product and 创建器 data, 监控ing GMV growth gradients. When a product's sales growth doubles within 24 hours while the number of linked 创建器s remAIns low, the 系统 automatically triggers a "Blue Ocean Alert."
视频病毒基因拆解 ｜Viral Video Gene Dissection
识别 GMV 增速前 5% 商品及 24h 销量翻倍的黑马 SKU，AI 自动解析高转化视频的“黄金 3 秒”Hook、脚本结构与 BGM 情绪，为您提供 1:1 可复刻的爆款脚本公式。
Identifies the top 5% of products by GMV growth and "dark horse" SKUs with doubled sales. AI automatically analyzes the "Golden 3-Second" hooks, script structures, and BGM vibes of high-conversion videos, providing you with 1:1 replicable viral script formulas.
达人撮合雷达 | 创建器 Matchmaking Radar
基于商品画像自动筛选最具带货潜力的高转化 KOC，拒绝只看粉丝数，只看实战转化率，自动制定达人合作方案。
Automatically 过滤器s KOCs with the highest sales potential based on product profiling. Moving beyond vanity 指标 like follower counts, it focuses solely on actual conversion rates to 生成 automated 创建器 collaboration plans.
自动选品报告 | Automated Product Selection 报告
支持自动生成目标品类/商品、当前销量、预估利润、竞争程度及推荐话术等的完整报告。
Supports the automatic generation of comprehensive 报告s covering tar获取 categories/products, current sales volume, estimated profit margins, competition levels, and recommended sales pitches.
Quick 启动 # 安装 dependencies brew 安装 curl jq
# 设置 EchoTik 凭证 (required) 导出 ECHOTIK_AUTH_HEADER="Basic "
# Optional TikTok Shop 凭证 (if you want product data) 导出 TIKTOK_SHOP_API_KEY="your_应用_key"
# Fetch influencer data ~/.OpenClaw/技能s/tiktok-trend-slayer/scripts/tiktok_slayer.sh --category 3c --region US
# Fetch product trending data ~/.OpenClaw/技能s/tiktok-trend-slayer/scripts/tiktok_slayer.sh --category 3c --region US --mode products
# Fetch 机器人h influencers and products ~/.OpenClaw/技能s/tiktok-trend-slayer/scripts/tiktok_slayer.sh --category 3c --region US,SG,TH --格式化 md --mode 机器人h
# All categories across all regions ~/.OpenClaw/技能s/tiktok-trend-slayer/scripts/tiktok_slayer.sh --all --region US,SG,TH --格式化 json --mode influencers
Script Arguments Flag Value Default Description --category beauty/3c/home/fashion/food/sports/baby/pet — Single category --all — — All 8 categories --region US,SG,TH,UK,... (comma-separated) US One or more markets --格式化 json / md json 输出 格式化 --page-size 1-10 10 结果s per 请求 --输出-dir path 技能/输出/ Custom 输出 directory --mode influencers/products/机器人h influencers Data type to fetch What It Does Influencer data (default) — Fetches 创建器/influencer data via EchoTik API (--mode influencers). Product data (optional) — Fetches trending product data via TikTok Shop Partner API (--mode products). 机器人h data types — Fetch 机器人h influencers and products (--mode 机器人h).
Without TIKTOK_SHOP_API_KEY, product fetching gracefully skips and 报告s how to enable.
Advanced 工作流s
After fetching data, use these 工作流s to 生成 professional deliverables. Read references/工作流s.md for detAIled step-by-step instructions.
- Multi-Region Category Analysis
Compare influencer landscapes across markets to find the best opportunities.
Trigger: "compare US vs SG", "analyze Southeast Asia", "which market for 3C"
Process: Fetch data for multiple regions, cross-compare engagement/EC scores/sales, 生成 comparison 报告.
输出: Regional comparison 报告 with per-market insights and recommendations.
- Influencer Collaboration Plan
Build a tiered influencer partnership proposal with pricing and timeline.
Trigger: "创建 collab plan", "how to work with influencers", "partnership proposal"
Process: Score influencers (engagement 30%, EC score 25%, followers 20%, sales 15%, fit 10%), as签名 tiers, 生成 plan with compensation 框架 and 5-phase execution timeline.
输出: Structured proposal with Tier 1/2/3 influencers, collaboration 模型s, rates, timeline, KPIs.
- Product Selection 列出
生成 a prioritized product 列出 with pricing strategy and revenue forecast.
Trigger: "what to sell", "product recommendations", "selection 列出"
Process: Analyze market data (price ranges, conversion patterns), build product 列出 by sub-category, 添加 pricing strategy and revenue forecast.