Linkedin Thread Monitor
Skill ActiveTrack which of your LinkedIn comments earned author replies. Flags the 6-24h Kevin Payne 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).
To help LinkedIn users efficiently manage their comment threads by identifying and prioritizing those that require timely follow-up, maximizing engagement momentum.
Features
- Tracks LinkedIn comments for author replies
- Flags the optimal 'Kevin Payne window' for responses
- Classifies threads as hot, warm, cool, or dormant
- Routes warm threads for follow-up drafts
- Utilizes Apify for data fetching (no login required)
Use Cases
- Identifying which LinkedIn threads need follow-up daily
- Ensuring timely responses to comments within peak momentum windows
- Automating the drafting of responses for prioritized threads
Non-Goals
- Analyzing likers on a post (use `linkedin-engager-analytics`)
- Handling the initial drafting of posts or comments (delegated to other skills)
- Replacing the user's LinkedIn login
Versioning
- warning:Release ManagementWhile the repository has a recent commit, there is no clear versioning indicated in the SKILL.md frontmatter or GitHub releases, and installation instructions do not reference a specific version tag.
Compliance
- info:GDPRThe skill operates on LinkedIn comments and profile data, which may contain personal information. While Apify's privacy policy should be consulted, there's no explicit indication of personal data being submitted to a third party without consent or sanitization beyond what Apify provides.
Installation
First, add the marketplace
/plugin marketplace add sergebulaev/linkedin-skills/plugin install linkedin-skills@linkedin-skillsQuality Score
Trust Signals
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