Competitor Kol Radar

竞品红人营销打法拆解（营销总监视角）——抓取竞品近 N 个月在 TikTok / Instagram / YouTube（国内小红书为实验功能）上的红人与 UGC 内容，判断它是"买量型""自来水型"还是"联盟铺量型"，统计博主量级、内容量、播放中位数、主打选题与卖点、销售转化渠道，对标库定位，输出带"对我们意味着什么 + 建议动作"的网页报告和明细 CSV。只要用户想研究某个品牌/竞品怎么做红人营销、KOL 投放、海外社媒种草、出海内容打法、博主合作、UGC 声量、"它在 TikTok/IG/YouTube 上投了哪些博主"、"竞品的红人投放怎么样"、"帮我拆一下 XX 的海外营销"，就应使用本技能，即使用户没说"竞品调研"。不用于：日常抖音竞品账号监控（用 competitor-radar）、单条视频解析、给自己找博主建联。

7 starsMarketing, Sales & Business

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add waynefu2020/competitor-kol-radar --skill competitor-kol-radar

Manual install

git clone --depth 1 https://github.com/waynefu2020/competitor-kol-radar.git /tmp/competitor-kol-radar
mkdir -p ~/.claude/skills
cp -r /tmp/competitor-kol-radar/. ~/.claude/skills/competitor-kol-radar

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# 竞品红人投放雷达

用一套固定口径，把"某品牌在社媒上被谁、以什么方式、讲了什么、导向哪里买"拆清楚，并以营销总监能直接拿去开会的方式交付。

价值不在抓数据，在**口径和判断**：分清付费、寄样、联盟和自来水，剔除噪音，知道哪些数字不能信。这些规则写在 `references/` 里，先读再动手。

## 0. 立项：先定决策问题

动手前用一两句话确认（用户已经说清的就不要再问）：

- **品牌和别名**（含中文名、各国写法、产品线名）
- **市场**：海外（默认）/ 国内（小红书，实验）/ 内外对比
- **时间窗**：默认近 90 天
- **这份调研要支撑什么决策**：对标学习、进入新市场、定预算、找可复制打法、做内容选题……决策问题决定报告的"建议动作"往哪写。用户没说就默认"我们能借鉴什么"。
- **我方是谁**（可选）：用户的品牌/品类。有了它，建议才能落到"对我们意味着什么"。

## 1. 写 brief

复制 `assets/brief.example.json` 到工作目录（默认当前项目下的 `competitor-research/<brand-slug>/brief.json`），填品牌正则、官方号正则、噪音正则、搜索词、话题、产品/系列词典、品类。品类决定选题和卖点词典（`beauty` / `tech` / `app` / `general`）。

关键词设计见 `references/methodology.md` 第 2 节。最常见的坑：品牌名是常见词或人名（如 "Plaud" 撞上新闻人物）→ 必须写 `noise_regex`。

## 2. 成本预估 → 采集

数据源默认 TikHub（Key 读环境变量 `TIKHUB_API_KEY` 或 `~/.config/tikhub/key`，不要把 Key 写进任何文件或回复）。

```bash
S=~/.claude/skills/competitor-kol-radar/scripts
python3 -I $S/collect.py --brief brief.json --stage search --dry-run   # 打印调用次数、预估花费和余额
python3 -I $S/collect.py --brief brief.json --stage search
python3 -I $S/normalize.py --brief brief.json
python3 -I $S/collect.py --brief brief.json --stage details           # YouTube 详情 + IG 博主粉丝数
python3 -I $S/normalize.py --brief brief.json
```

一次海外调研通常 400–700 次调用，约 $0.5–1。预估超过 $3 先问用户。

**没有 TikHub Key？** 改走免费兜底：用 Agent Reach 工具链（yt-dlp、xhs-cli、网页搜索）采集，`scripts/agent_reach_import.py` 把结果导入同一套流程。YouTube 和小红书够用，TikTok 只能靠搜索发现链接，Instagram 只能定性。做之前读 `references/fallback-agent-reach.md`，先告诉用户兜底方案会缺哪些数据，再开始。

## 3. 抽查（不可跳过）

Read the full skill on GitHub

Details

Skill name: competitor-kol-radar
Repository: waynefu2020/competitor-kol-radar
License: MIT
Repo updated: 26 October 2026

FAQ

What does the Competitor Kol Radar skill do?

How do I install the Competitor Kol Radar skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add waynefu2020/competitor-kol-radar --skill competitor-kol-radar. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Competitor Kol Radar popular?

It lives in waynefu2020/competitor-kol-radar, which has 7 GitHub stars and 0 forks.

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