Individual skill
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).
.codex-marketplace/linkedin-skills/skills/linkedin-thread-monitor/SKILL.md
Source commit 8f8bc4b40a2d5419b2dcf898772b85712cfbdf41
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- Observed behavior
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- Last checked
- Nov 2, 2026
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- Repository stars (not skill ratings)
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- Repository last updated
- Nov 3, 2026
- License
- MIT
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- ai-agents Repository topic
- ai-content Repository topic
- ai-marketing Repository topic
- anthropic Repository topic
- awesome-claude Repository topic
- claude-code Repository topic
- claude-skills Repository topic
- content-creation Repository topic
- linkedin Repository topic
- linkedin-automation Repository topic
- data Derived category
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SKILL.mdcore · 5,916 bytesreferences/output-spec.mddoc · 1,219 bytesreferences/thread-timing.mddoc · 3,770 bytes
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# 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