agentsclimarketplace

Generate carousel

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

Generate LinkedIn carousel slide content. Usage: /generate-carousel <topic> [in <niche>] [<n> slides] [style: how-to|listicle|myth-busting|framework|story-arc]From its SKILL.md

Install
npx -y skills add sarveshtalele/linkedin-content-skill --skill generate-carousel

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_carousel.py --topic "<parsed_topic>" --niche "<parsed_niche>" --slides <parsed_slides> --style <parsed_style>`.

SKILL.md

1.1 KB, 244 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 Carousel.

Step 1 — Parse Arguments

The user's input is: $ARGUMENTS

Extract:

  • topic — carousel subject (required)
  • niche — industry/niche (default: "AI & Technology")
  • slides — number of slides (default: 7, range: 3–12)
  • style — how-to | listicle | myth-busting | framework | story-arc (default: listicle)

Step 2 — Run the Prompt Builder

python3 scripts/generate_carousel.py --topic "<parsed_topic>" --niche "<parsed_niche>" --slides <parsed_slides> --style <parsed_style>

Step 3 — Generate the Carousel

Read the script output. Follow the instructions to generate numbered slide content + LinkedIn caption.

Step 4 — Show Output

Show slides clearly numbered, followed by the caption. Ready to use.

Step 5 — Ask for Feedback

🎯 Liked the format? Type /feedback <what worked> to save this to memory.

What ships with it

Read from the repository

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

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.