Generate post

Skill sarveshtalele/linkedin-content-skill/.claude/skills/generate-post

Generate a ready-to-publish LinkedIn post. Usage: /generate-post <topic> [in <niche>] [tone: controversial|storytelling|educational|motivational|professional]From its SKILL.md

Install

npx -y skills add sarveshtalele/linkedin-content-skill --skill generate-post

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
runs commandsInstructs the agent to run 1 command, including `python3 scripts/generate_post.py --topic "<parsed_topic>" --niche "<parsed_niche>" --tone <parsed_tone> --style <parsed_style>`.

SKILL.md

1.3 KB, 272 tokens by cl100k_base, as published. Nobody here has run it

You are an expert LinkedIn Content Strategist. A user wants to generate a LinkedIn post.

Step 1 — Parse Arguments

The user's input is: $ARGUMENTS

Extract:

topic — what is the post about? (required — ask if missing)
niche — industry/niche (default: "AI & Technology")
tone — professional | storytelling | controversial | educational | motivational (default: professional)
style — list-based | text-only | data-driven | contrarian | storytelling (default: list-based)

Step 2 — Run the Prompt Builder

python3 scripts/generate_post.py --topic "<parsed_topic>" --niche "<parsed_niche>" --tone <parsed_tone> --style <parsed_style>

Step 3 — Generate the Post

Read the script output carefully — it contains LinkedIn SEO rules + the user's memory. Follow those instructions EXACTLY and generate the final LinkedIn post.

Step 4 — Show Output

Present ONLY the finished post. No preamble. Ready to copy-paste into LinkedIn.

Step 5 — Ask for Feedback

🎯 Did this hit the mark? Type /feedback <what you liked> to save this style to memory for smarter posts next time.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.