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Linkedin Thread Monitor

核心功能:追踪你的LinkedIn评论是否获作者回复,按时间将线程分为热/暖/冷/休眠状态,标注最佳回复窗口,对接回复工具生成草稿,识别高低质量互动。典型场景:每日跟进需回复线程、批量评论后定时检查、作者回复时生成草稿。输入为LinkedIn账号后缀(可选时间窗口),输出含回复状态及建议的表格报告;依赖Apify令牌,无令牌需用户粘贴评论URL。

sergebulaev
sergebulaev
热度 8.64
最近更新 2026-07-06 09:58:41
分类:营销依赖:第三方 API应用场景:社交媒体 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add linkedin-thread-monitor
Metadata
name
linkedin-thread-monitor
description
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).

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-up): see references/output-spec.md. Headline: a table of recent comments with author-reply status + recommended action.

Steps

  1. Fetch user's recent comments. If APIFY_TOKEN is set, call lib.ApifyClient.fetch_user_recent_comments(username=<your-handle>, result_limit=30). Each item already includes the parent post body, post URL, post author, and reaction stats. If APIFY_TOKEN is not set, ask the user to list (or paste) the URLs of comments they've posted in the last 72h.
  2. For each comment posted in last 72h: check the parent post's comment tree (use fetch_post_comments(post_id=..., scrape_replies=True)) for:
    • Replies to the user's comment
    • Whether the author posted any of those replies
    • Timestamps (time since user's comment, time since latest reply)
  3. Classify stage:
    • Hot (<6h): author just replied. Respond within 90 min for max thread momentum
    • Warm (6-24h): the warm-reply window. Author replies most happen here
    • Cool (24-72h): still respondable but lower velocity
    • Dormant (>72h): don't reply in thread. Consider DM
  4. Draft responses for warm threads using linkedin-reply-handler.
  5. Flag suspicious patterns:
    • Author replied but also deleted someone else's comment (author is actively moderating, tread carefully)
    • Commenter is in thread self-promoting (your reply shouldn't engage them)
  6. DM routing: if thread is dormant but the author engaged meaningfully, draft a DM that references the thread specifically.

Warm-reply window

Anchored to a 2026-04 data point: a CEO replied to Serge's comment 22h after the original post. Reply-rate distribution: 0-6h 70%, 6-24h 25% (higher quality), >24h rare. Follow-up timing: 0-6h reply respond within 90 min; 6-24h within 2h; >24h within 4h before it goes cold. See references/thread-timing.md for the full matrix.

Inbound-quality signals

High-quality = follow up: founder/operator title, company in ICP, active posting history, >10 mutual 2nd-degree connections, prior thoughtful comments on user's posts.

Low-quality = skip: generic praise, template language ("I'd love to hop on a quick call"), sales/agency profile with no operator history, same comment copy-pasted across many creators.

Hard rules

Global voice rules: see root SKILL.md §Voice rules. Additional skill-specific rules:

  • Never reply to a reply later than 72h after the thread's last turn. Switch to DM.
  • Never chain 3+ replies under one comment (thread spam).
  • If the author deleted their reply, do not reply. They reconsidered.
  • Don't DM a warm thread before first replying publicly (skips a step).

Cost accounting

Action Apify call Cost (free tier)
Daily thread sweep (1 user, ~30 comments) fetch_user_recent_comments once $0.005
Per-warm-thread context fetch_post_comments(scrape_replies=True) $0.005 each

A typical creator running this skill 5 days/week stays well under the $5 free monthly credit.

Files

  • SKILL.md — this file
  • references/output-spec.md — daily report shape, warm-thread preview, weekly roll-up, sample run
  • references/thread-timing.md — the timing matrix with examples

Related skills

  • linkedin-reply-handler — drafts the actual follow-up message for warm threads
  • linkedin-engager-analytics — analyze who liked/commented on a post (different surface)
  • linkedin-comment-drafter — drafts the initial comment that starts threads