linkedin-thread-monitor

仓库创建 2026年4月15日最近提交 4 天前SkillHot 收录 20 天前
▸ 精选理由

抓住高价值暖回复窗口,提升二次互动与转化效率。

▸ 风险提示

依赖 APIFY 抓取与 APIFY_TOKEN,存在爬取合规与隐私风险。

这个 Skill 做什么

监测哪些评论获得作者回复,判别热度并在最佳窗口内提醒或路由跟进草稿。

跟踪哪些你在 LinkedIn 的评论得到了作者回复,标记出 6–24 小时的最佳跟进窗口并把“热”或“暖”线程送到回复草稿流程。适合每天检查需要跟进的对话或监测帖子的互动动量,能提高回应命中率。不用登录 LinkedIn(可用 Apify token 或手动贴 URL),自动分类并提醒优先级。

▸ 展开 SKILL.md 英文原文

Track which of your LinkedIn comments earned author replies. Flags the 6-24h warm-reply window where thread momentum peaks, classifies threads as hot/warm/cool/dormant, and routes warm ones to linkedin-reply-handler for follow-up drafts. Powered by Apify, no LinkedIn login. Triggers on "what threads need follow-up", "author replied", "monitor my comments". Not for analyzing likers on a post (use linkedin-engager-analytics).

垂直行业监控互动跟进LinkedIn自动化通用
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SKILL.MD 节选查看完整文件 ↗
# LinkedIn Thread Monitor

Track which of your comments earned author replies. The author-reply signal is the highest-value inbound LinkedIn produces; this skill ensures you respond inside the window where momentum compounds.

Depends on `APIFY_TOKEN`. Without it, falls back to user-paste of recent comment URLs.

## When to use

- Daily: "What threads need follow-up today?"
- After posting a batch of comments: "Check back in 6 hours"
- When an author replied personally: "Draft the response"

## Input

- Your LinkedIn handle (last path segment of profile URL, e.g. `your-handle`)
- Optional: window in hours (default 72)

## Output

Output format (daily report, warm-thread preview, weekly roll-
via SKILL·HOT · 数据来自 GitHub 公开信息 · 原文版权归作者所有