This skill allows users to generate high-engagement posts for LinkedIn using the inference.sh CLI. It's ideal for marketers, content creators, and businesses looking to enhance their LinkedIn presence.
$ npx skills add https://github.com/inference-sh/skills --skill linkedin-contentThis skill leverages the inference.sh CLI to generate professional, high-engagement LinkedIn content tailored for your audience. It integrates with 250+ AI models available through inference.sh, enabling marketers and content creators to produce polished posts without manual drafting. The skill is part of the broader inference.sh platform, which provides access to image generation, video creation, LLM models, and web search capabilities. Install it as a Claude Code plugin or standalone skill to streamline your LinkedIn content strategy.
After installing, log in with the belt CLI and use the search assistant for content patterns.
Research trending LinkedIn content patterns
Generate posts with high engagement for LinkedIn
Analyze viral post examples for effective strategies
Automate LinkedIn content creation
$ npx skills add https://github.com/inference-sh/skills --skill linkedin-contentgit clone https://github.com/inference-sh/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Generate a high-engagement LinkedIn post for [COMPANY], a [INDUSTRY] company, based on the following key points: [KEY_POINTS]. The post should be professional yet engaging, under 150 words, and include a clear call-to-action. Use a conversational tone with emojis where appropriate.
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