Agent skill · Data & Analytics

linkedin-thread-monitor

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).

Sergey Bulaev357★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add sergebulaev/linkedin-skills --skill linkedin-thread-monitor --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/linkedin-thread-monitor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 357
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

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About this skill
What does the linkedin-thread-monitor skill do?

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).

How do I install it?

Run `npx skills add sergebulaev/linkedin-skills --skill linkedin-thread-monitor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sergebulaev/linkedin-skills, a repository with 357 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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