linkedin-comment-strategy

Solid

This skill should be used when the user asks to "write a comment for this LinkedIn post", "help me respond to this post", "what should I comment on this", "craft a LinkedIn comment", or when Genesis identifies high-value posts in the user's network worth engaging with. Also triggered by "how should I engage on LinkedIn" or "help me be more visible on LinkedIn".

AI & Automation 96 stars 22 forks Updated today MIT

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Skill Content

# LinkedIn Comment Strategy ## Purpose Write LinkedIn comments that build genuine professional visibility — not generic "Great post!" noise. Every comment should demonstrate expertise, add value to the conversation, or make the author want to respond. Comments are the highest-ROI LinkedIn activity for building network presence. ## Voice Loading Before writing comments, load the user's voice via voice-master's overlay resolution: 1. Read `../voice-master/SKILL.md` and follow its **User Calibration Overlay** section to load exemplars and voice-dimensions from the out-of-repo overlay (or template fallback with warning if no overlay). 2. This skill's medium is `social`. Select social-medium exemplars from whatever voice-master loads. 3. Read `../voice-master/references/anti-slop.md` — apply the **Universal** and **Professional / LinkedIn** sections. If no overlay is present, voice-master falls back to generic voice guidance and warns — note this in your output. Comments follow the same voice rules as posts but in compressed form. ## Comment Types ### 1. Add-Value Comment Extend the post's point with additional insight, a related experience, or a nuance the author didn't cover. **When to use:** The post makes a good point that you can genuinely build on. **Length:** 2-4 sentences. **Example pattern:** "[Specific agreement with a detail]. In my experience with [specific context], [additional insight]. [Optional: question or implication]." ### 2. Respectful Ch...

Details

Author
WingedGuardian
Repository
WingedGuardian/GENesis-AGI
Created
5 months ago
Last Updated
today
Language
Python
License
MIT

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