Generate LinkedIn posts with mode, tone, and CTA controls.
npx skills add https://github.com/mickpletcher/AI-Skills --skill linkedin-post-mickpletcher
Please help me install this Agent Skill. Skill: linkedin-post Source: https://github.com/mickpletcher/AI-Skills/tree/main/claude/skills/linkedin-post Command: npx skills add https://github.com/mickpletcher/AI-Skills --skill linkedin-post-mickpletcher
Writing credible, audience-tuned LinkedIn posts for professional IT, AI, and automation work can be slow, inconsistent, and easy to turn into generic corporate phrasing.
Send the prompt "lnp write a LinkedIn post about <your topic>" with any key details you want included.
High-intent search queries and answers about installing and using this skill.
Draft a professional LinkedIn post by selecting a mode like career update, technical lesson, or project breakdown, then applying a practitioner, leadership, or builder tone. The output uses short paragraphing and 2 to 3 hashtags to target IT professionals.
Technical storytelling content avoids generic corporate phrasing by using a direct practitioner voice. It pushes for proof, outcomes, and context instead of amplifying vague claims, ensuring credibility for professional automation audiences.
LinkedIn post formatting enforces credibility by avoiding emojis and em dashes, keeping text between 150 to 400 words, and placing 2 to 3 hashtags at the bottom. This structure ensures readability for technical audiences.
Add a call to action in a LinkedIn project breakdown by optionally choosing an appropriate CTA style during generation. This integrates the CTA naturally into the first-person post without fabricating missing facts.
You can control LinkedIn post tone by selecting practitioner, leadership, or builder framing. This tone control adjusts the voice to match different professional communication contexts while maintaining the direct style.
You should not use automated content writing when missing facts are required, as the process avoids fabrication. If your technical topic lacks concrete proof or outcomes, the generated post may lack the necessary credibility.
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