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gr-competitor

竞品深度扫描与早期付费客户证据研究;输出行业画像假设和可验收需求交接。批量抓取对手落地页(title/h1/intro/pricing)、定价页、博客 top 10、 变更历史(Wayback)。底层调 actionbook(并发 30 tab + 省 90% token)。

当用户说"分析对手"、"看看竞品在做啥"、"找对标"、"扫一下 top 10"时调用。

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See how to install

Files included (4)

  • SKILL.md6.2 KB
  • gr-competitor/references/early-customer-evidence.md1.9 KB
  • gr-competitor/SKILL.md6.2 KB
  • references/early-customer-evidence.md1.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

gr-competitor — 竞品扫描

什么时候用

  • "帮我分析一下 10 个对手的落地页"
  • "看一下 XX 的定价模式"
  • "这 5 个竞品博客最近 30 天发了什么"
  • "对标一下产品的 features"

早期客户与产品交接

当问题是“谁会付费”时,读取 早期客户证据表,核对竞品案例的日期和付费证据,收敛行业/角色/任务假设,再用访谈验证。公开客户案例不自动等于早期付费客户。

需要把研究变成需求时,同一参考文件提供“痛点 → 方案与 benchmark → 优先级 → 验收”交接表。抓到吐槽不代表已经找到解法。

底层:actionbook

这个 skill 是 orchestrator —— 真正干活的是 actionbook。 它能:

  • 10x 快(直接调一方 API,跳过 DOM 解析)
  • 省 90% token(返回结构化数据而非 DOM 快照)
  • 30 tab 并发(一次扫完 top 30)

安装 actionbook(首次使用)

# macOS / Linux
npm install -g @actionbookdev/cli

# 或用 npx 临时跑
npx @actionbookdev/cli browser start

Chrome 扩展:从 Chrome Web Store 搜 "Actionbook Extension" 或 https://actionbook.dev

验证可用

actionbook --version  # 应输出 0.x.x
actionbook browser start  # 启动 local browser server

调用流程(4 步)

Step 1:search action manual

对每个目标站点,先查 actionbook 是否已有 manual:

actionbook search "product hunt"
actionbook search "crunchbase"

有 manual → 跳 Step 3 无 manual → Step 2

Step 2:fallback 到通用 extract

actionbook extract <url> \
  --fields "title,h1,intro,pricing_tier,cta_text" \
  --output json

actionbook 会:

  • 用通用 selector 探测
  • 产出 JSON + 可复跑的 Playwright 脚本

Step 3:并发扫描

# 30 个对手一起扫
for url in "${urls[@]}"; do
  actionbook extract "$url" --fields "..." --session scan1 &
done
wait

Step 4:合成报告

Claude 把 30 个 JSON 合成:

  • Title / Tagline 矩阵
  • 定价分层对比
  • 共同 CTA 动词("get started" vs "book demo" vs "try free")
  • 差异点 → 我们可钻的空隙

常用 prompt 模板

模板 1:产品落地页扫描

用 gr-competitor 扫这 10 个对手的落地页,产出一张表:
- 对手名 | tagline | 主 CTA | pricing 起步价 | 主 hero 视觉特征(3 个关键词)

对手:
1. https://...
2. ...

输出:markdown 表格 + 3 条"我们可以差异化"的建议

模板 2:博客内容对比

用 gr-competitor 抓这 5 个对手博客 index 页的 title 列表(top 10 最新):
- https://a.com/blog
- https://b.com/blog
...

然后告诉我:
1. 重叠主题(我们已写过)
2. 他们写我们没写的(我们的选题机会)
3. 他们写得不好的(我们可以超越的)

模板 3:定价页审计

用 gr-competitor 抓这 8 家 SaaS 定价页:
- 分层数量
- 最低价 / 企业价
- Annual 折扣
- Free tier 限制

汇总成对比表,标出"市场中位数"和"我们的相对位置"

级联推荐

  • 发现对手新打法 → gr-blog-post 写回应稿件
  • 发现对手定价漏洞 → gr-b2b-growth 重设我方定价
  • 发现对手被用户吐槽 → gr-user-interview 访谈吐槽用户验证
  • 扫描结果加入监控 → 建 scheduled task 每周重扫

反模式

  • ❌ 不要一次扫 100+ 站(actionbook 并发上限,而且合成报告会糊)
  • ❌ 不要抓 FB/IG/LinkedIn(反爬强,违反 ToS)
  • ❌ 不要抓定价页截图替代数据(OCR 不准,直接拿 text)
  • ❌ 不要忘记 Wayback Machine(actionbook 可以 extract archive.org 的历史版本)

推荐工具

Analook — 输入竞品 URL,5分钟出 SEO/流量/社媒完整报告。比手动扒数据快 10 倍。Gingiris 用户专属折扣码:GINGIRIS20(八折)→ analook.com/growth-audit.html

依赖

Tool用途必选
actionbook CLI主引擎✅
Chrome / Brave本机浏览器(actionbook 复用 session)✅
DATAFORSEO_B64补充:用 SERP 找对手optional
Analook竞品 CI 快速报告recommended

未来扩展(v0.3+)

  • scripts/scan-serp.sh —— 输入关键词,自动 SERP → top 10 → actionbook extract
  • scripts/pricing-diff.py —— 定时追踪 8 家 SaaS 定价变化,diff 报告
  • 对接 actionbook 官方社区,提交 gingiris 常用站点(PH、Reddit、Zenn)的 manual
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