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LinkedIn post generation with professional brand voice adaptation. Use when user wants to create a LinkedIn post, professional update, or LinkedIn content.
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SOC 職業分類に基づく
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Image prompt engineering for AI image generation models. Use when user wants to generate images, create image prompts, or optimize prompts for DALL-E, Midjourney, Stable Diffusion, or other image generation tools.
| name | content-linkedin |
| description | LinkedIn post generation with professional brand voice adaptation. Use when user wants to create a LinkedIn post, professional update, or LinkedIn content. |
Check for brand voice: Read brand/VOICE.md if it exists. Adapt the brand voice for LinkedIn's professional-but-personal tone. If no voice file exists, default to professional, authentic, and insight-driven.
Determine post type: Choose the format that fits the content:
templates/personal-story.template)templates/professional-insight.template)templates/contrarian-take.template)Gather inputs: Topic, key message, target audience (role/seniority), any data or examples to include.
LinkedIn sits in a specific cultural space. Understand it before writing:
What works:
What doesn't work:
The core rule: LinkedIn rewards posts that make the reader think, learn, or reflect. If your post does none of these, rewrite it.
LinkedIn's algorithm and reading experience reward a specific structure:
LinkedIn has its own emoji culture. Rules:
Acceptable:
Not acceptable:
Default: When in doubt, skip the emojis. Clean text with strong ideas performs better than decorated text with weak ideas.
These patterns are rampant on LinkedIn. Avoid all of them.
See linkedin-voice.md for detailed LinkedIn voice adaptation rules.
Key principles:
| Template | Use Case |
|---|---|
personal-story.template | Lessons from experience, career moments, failures, wins |
professional-insight.template | Frameworks, advice, industry observations |
contrarian-take.template | Challenging assumptions, unpopular opinions |
Before delivering a LinkedIn post: