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Linkedin Post

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roslove44
linkedin-post

Creates a LinkedIn post image at LinkedIn's dimensions, in the chosen orientation. Use when the user wants a "LinkedIn image", a "LinkedIn post", a "LinkedIn visual" or a "LinkedIn publication" for a project. Asks for the orientation (portrait by default, square, landscape) and produces a .tsx template at the right ratio, aligned with the brand guidelines, rendered as a PNG through the project's engine. Requires a project with its brand.md in place.

Overview

Publisherroslove44
Repositorybrand-artisan
Skill namelinkedin-post
Stars
5
Forks
0
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 roslove44 on GitHub. Read the source before you install it.

Installation

Install the Linkedin Post 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/roslove44/brand-artisan/tree/main/skills/linkedin-post
  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/roslove44/brand-artisan.git /tmp/brand-artisan
mkdir -p .claude/skills
cp -r /tmp/brand-artisan/skills/linkedin-post .claude/skills/linkedin-post
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin Post 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 Linkedin Post 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 Linkedin Post 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.

linkedin-post: LinkedIn post image

Goal: produce the PNG asset of a LinkedIn post image, at the chosen ratio, aligned with the guidelines.

This is a specialization of new-template with the LinkedIn constraints hard-coded. Same conventions: the Template contract (from brand-artisan), assets through brand(), fonts discovered in fonts/, export default ... satisfies Template.

Status of the dimensions. LinkedIn only officially documents one visual, at 1200×627 (1.91:1), for the link preview on Pages. For an image posted directly, LinkedIn publishes no dimensions: the 1080×1080 square and the 1080×1350 portrait are conventions (carried over from the advertising specs), not from the organic documentation.

0. Prerequisites (blocking)

The chain project -> template folder -> guidelines must exist:

  • Resolve <project> (from the arguments, otherwise ask).
  • Check templates/<project>/ and brands/<project>/brand.md.
  • Missing guidelines or project -> STOP: ask for /new-project <project> first. No visual without guidelines (CLAUDE.md rule).

1. Frame it

  • Which orientation? Ask. Default: portrait (4:5, takes the most height in the feed). Otherwise square (1:1) or landscape (1.91:1).
  • Default slug linkedin-post (or linkedin-post-<orientation> if there are several). Check that the target .tsx does not exist.
  • Read brands/<project>/brand.md: palette, type, logo variants, don'ts.
  • Read brands/<project>/project.md if it exists: set the tone and the claims (don't invent figures or promises). If absent -> ask for the tone and the message rather than guessing.
  • Ask for the message: short headline + standfirst (1 sentence). No paragraph.
  • If the project already holds a .tsx, read it as a style reference.

2. LinkedIn constraints (to respect)

OrientationSize (px)RatioStatus
Portrait (default)1080x13504:5Convention (ads specs)
Square1080x10801:1Convention (ads specs)
Landscape1200x6271.91:1Official LinkedIn (link preview)
  • Format: PNG or JPG, opaque background.
  • The post's text (body, link) lives outside the image, in the publication: don't write everything into the visual. One idea per card.
  • Legible when small: the LinkedIn feed displays narrow on mobile. Large headline, short standfirst, strong contrast, safe area of about 80 px.
  • LinkedIn tone: a professional audience. Favor a standfirst carrying added value (an insight, a data point, a business benefit) over an aggressive pitch.

3. Write the template

templates/<project>/<slug>.tsx, with colors as constants taken from the guidelines. Pick SIZE according to the orientation. Skeleton:

tsx
import type { ReactNode } from "react";
import { brand, type Template } from "brand-artisan";
// import { readFile } from "node:fs/promises"; // if you load the mark

// Pick according to the orientation:
const SIZE = { width: 1080, height: 1350 }; // Portrait 4:5 (default)
// const SIZE = { width: 1080, height: 1080 }; // Square 1:1
// const SIZE = { width: 1200, height: 627 };  // Landscape 1.91:1

// <Project> guideline palette (from brands/<project>/brand.md).
const INK = "#......";

function render(): ReactNode {
	return (
		<div
			style={{
				width: "100%",
				height: "100%",
				display: "flex",
				flexDirection: "column",
				justifyContent: "center",
				padding: 80, // safe area
				backgroundColor: INK, // opaque background
			}}
		>
			{/* logo + large headline + short standfirst, strong contrast */}
		</div>
	);
}

export default { size: SIZE, title: "<Project> LinkedIn post", render } satisfies Template;

Shared conventions: assets through brand("<project>/..."), fonts discovered in fonts/; a missing font -> the "missing font" appendix in new-template, never silently. Keep the code minimal.

4. Verify

  • npm run typecheck -> green.
  • npm run build -> writes out/<project>/<slug>.png.
  • Check the PNG: exact dimensions for the orientation, opaque background, correct ratio (4:5 / 1:1 / 1.91:1).
  • Preview: npm run dev then /<project>/<slug>; check legibility shrunk to the width of a mobile feed.

Success criterion: a PNG at the dimensions of the chosen orientation, opaque, legible when small, professional in tone, and using only colors and type from brand.md.

Frequently asked questions

What does the Linkedin Post AI skill do?

Creates a LinkedIn post image at LinkedIn's dimensions, in the chosen orientation. Use when the user wants a "LinkedIn image", a "LinkedIn post", a "LinkedIn visual" or a "LinkedIn publication" for a project. Asks for the orientation (portrait by default, square, landscape) and produces a .tsx template at the right ratio, aligned with the brand guidelines, rendered as a PNG through the project's engine. Requires a project with its brand.md in place.

Why use Linkedin Post on TypingMind?

Because you install it once and use it with any model. Linkedin Post 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 Linkedin Post in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/roslove44/brand-artisan/tree/main/skills/linkedin-post. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Linkedin Post?

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 Linkedin Post?

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

Is the Linkedin Post AI skill free?

Yes. It is published on GitHub by roslove44 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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