mcpbeat

Linkedin Post

langchain-ai/linkedin-post

Write a LinkedIn post based on research findings or a given topic. Use this skill when asked to create LinkedIn content, professional posts, or thought leadership pieces.

233 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
8
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/langchain-ai/langgraph-101 --skill linkedin-post

The instruction itself

4 sections, as written by the author

LinkedIn Post Skill

Format

  • Hook: Start with a bold opening line that grabs attention (this appears before the "see more" cut)
  • Body: 3-5 short paragraphs, each 1-2 sentences
  • Use line breaks between paragraphs for readability
  • Include 1-2 relevant emojis per paragraph (don't overdo it)
  • End with a call-to-action or question to drive engagement
  • Add 3-5 relevant hashtags at the bottom

Tone

  • Professional but conversational
  • Share insights, not just information
  • Use "I" statements and personal perspective where appropriate
  • Avoid jargon unless the audience expects it

Length

  • Ideal: 150-300 words
  • LinkedIn truncates after ~210 characters, so the first line must hook the reader

How to use it

Copy the folder

Take langchain-ai/linkedin-post from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.