
Linkedin Post Generator
Turns meeting transcripts, Slack threads, and random notes into LinkedIn posts that sound like you actually wrote them. The setup is thoughtful: you feed it three posts in your style, it analyzes your tone and structure, then generates options from whatever source material you dump in. It pulls from Fireflies, Slack, and Google Drive automatically if you want, and has built-in confidentiality filters to strip financials and client names. The whole thing runs locally with your style profile stored in your config directory. It's basically ghostwriting yourself, which feels strange but honestly saves the friction of staring at a blank LinkedIn composer.
- skills.sh installs
- 304
- GitHub stars
- 15
- last updated
- Aug 21, 2026
Install
$ npx -y skills add casper-studios/casper-marketplace --skill linkedin-post-generator --agent claude-codeInstalls into .claude/skills of the current project.
Files
LinkedIn Post Generator
Generate LinkedIn posts from shared source material, written in each user's personal style.
How It Works
- Personal style profile — stored locally at
~/.config/casper/linkedin-style.md(never committed) - Source config — stored locally at
~/.config/casper/linkedin-sources.md(never committed) - Shared source material — meeting transcripts, Slack dumps, docs in
source-material/ - Prompt template — extraction rules, voice guidelines, few-shot examples in
references/prompt-template.md
First Run: Style Setup
Check if ~/.config/casper/linkedin-style.md exists.
If it does NOT exist, run the style setup flow:
Sponsors
Details
- Repository
- github.com/casper-studios/casper-marketplace
- Categories
- Documentation, Code Review & Quality, Automation & Workflows
- First seen
- Jun 3, 2026
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