Linkedin Thread Monitor
Track which of your LinkedIn comments earned author replies.
Install
npx skills add sergebulaev/linkedin-skills --skill linkedin-thread-monitor -g -a claude-code -y- Repository
- sergebulaev/linkedin-skills5.5k
- Category
- Engineering
- Updated
- 8d ago
- License
- MIT
- Context cost
- Lightabout 1,354 tokens
- Runs scripts
- No, instructions only
What it does
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.
Needs a read credential: APIFY_TOKEN, or the Apify MCP connector (the only option on claude.ai). With neither, 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.
