Li Carousel logo

Li Carousel

CommunityPopular
Jakeschincariol
li-carousel

Build a LinkedIn document post (carousel) - slide-by-slide copy, the cover that earns the swipe, and the PDF to upload. Use when the user says "carousel", "document post", "slides for LinkedIn", "turn this into a carousel", or has a list-shaped idea that would die as a text post.

Overview

PublisherJakeschincariol
Repositorylinkedin-agent-skill
Skill nameli-carousel
Stars
1.3K
Forks
192
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Jakeschincariol on GitHub. Read the source before you install it.

Installation

Install the Li Carousel AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-carousel
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git /tmp/linkedin-agent-skill
mkdir -p .claude/skills
cp -r /tmp/linkedin-agent-skill/skills/li-carousel .claude/skills/li-carousel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Li Carousel in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Li Carousel on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Li Carousel is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

li-carousel

Document posts are the highest-dwell format on LinkedIn, because a swipe is counted and a scroll is not. The format rewards one idea broken into steps. It punishes a text post cut into pieces.

When to use it instead of a text post

Use a carousel when the idea has sequence - steps, a countdown, a before/after progression, a framework with parts. Use a text post when the idea is one claim. Splitting one claim across eight slides is the most common way carousels fail, and if that is what the user has, say so and hand them to /li-post.

Structure

8-12 slides. Under 8 is a text post. Over 12 and the completion rate falls off a cliff.

1        COVER      the hook, 6 words or fewer, plus one line of promise
2        THE STAKE  why this matters, in one sentence
3-N      ONE IDEA PER SLIDE. A headline of 3-7 words, and at most 25 words
                    under it. If a slide needs a paragraph, it is two slides.
N+1      RECAP      the whole thing as a list, so the screenshot is useful
LAST     CTA        one action. Follow, comment a keyword, or the link. One.

Slide copy rules

  • Slide 1 is 80% of the result. Six words. Big. The rest of the deck cannot save a cover nobody swipes.
  • Number every slide (3/10). Completion goes up when people can see the end.
  • No slide is a paragraph. If you cannot say it in 25 words, split it.
  • The recap slide is the one people screenshot. Make it standalone.
  • The user's handle on every slide, small, bottom corner. Screenshots travel without you.

Making the PDF

LinkedIn wants a PDF, 1080x1350 (4:5) for maximum feed real estate, under 100MB, under 300 pages. Build it as HTML and print to PDF:

bash
# one page per slide, 1080x1350, no margins
# then: Chrome headless --print-to-pdf, or any HTML-to-PDF you already use

Write the HTML with one <section> per slide, width:1080px; height:1350px; page-break-after:always, a single accent colour, and type no smaller than 28px - people read these on a phone at thumbnail size. If the user has a brand skill or design system in this project, use it and do not invent a palette.

Output

The slide-by-slide copy first, as a numbered list the user can read in ten seconds. Then the accompanying post text - a carousel still needs 2-3 lines above it, which is the actual hook in the feed. Run both through /li-human. Then build the PDF only if the user approves the copy.

Nothing is uploaded to LinkedIn. The user posts the PDF themselves.

Frequently asked questions

What does the Li Carousel AI skill do?

Build a LinkedIn document post (carousel) - slide-by-slide copy, the cover that earns the swipe, and the PDF to upload. Use when the user says "carousel", "document post", "slides for LinkedIn", "turn this into a carousel", or has a list-shaped idea that would die as a text post.

Why use Li Carousel on TypingMind?

Because you install it once and use it with any model. Li Carousel is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Li Carousel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-carousel. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Li Carousel?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Li Carousel?

As many as you like. As long as a model supports skills, you can use Li Carousel with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Li Carousel AI skill free?

Yes. It is published on GitHub by Jakeschincariol under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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