Linkedin Post

Community

kevinbadi

linkedin-post

Post text and optional image content to LinkedIn via browser automation. Use when creating LinkedIn posts, scheduling LinkedIn content, or automating LinkedIn publishing as part of a content pipeline.

Overview

Publisher	kevinbadi
Repository	`ai-os-skills`
Skill name	`linkedin-post`
Stars	73
Forks	29
Bundled files	1
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by kevinbadi 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/kevinbadi/ai-os-skills/tree/main/linkedin-post
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.

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/kevinbadi/ai-os-skills.git /tmp/ai-os-skills
mkdir -p .claude/skills
cp -r /tmp/ai-os-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

Post text + optional image to LinkedIn using CDP browser automation against a logged-in Chrome session.

Prerequisites

Clawdbot installed (script auto-starts the browser if not running)
Logged into LinkedIn (cookies at cookies/linkedin-zeusbycreatoros.json)
ws npm package available

Quick Usage

Text-only post

bash
node skills/linkedin-post/scripts/linkedin-post.js --text "Your post text here"

Text + image post

bash
node skills/linkedin-post/scripts/linkedin-post.js \
  --text "Your post text here" \
  --image /path/to/image.png

Custom CDP port

bash
node skills/linkedin-post/scripts/linkedin-post.js \
  --text "Post text" \
  --cdp-port 18800

Output

stdout: Post URL (e.g. https://www.linkedin.com/feed/update/urn:li:share:...) or POST_SUCCESS_NO_URL
stderr: Progress/error messages
Exit 0: Success
Exit 1: Error

How It Works

Connects to Chrome via CDP WebSocket
Finds or opens a LinkedIn tab, navigates to feed
Clicks "Start a post" to open the editor dialog
Injects text via innerHTML on LinkedIn's Quill editor (.ql-editor)
If image provided: clicks "Add media", uploads via DOM.setFileInputFiles
Clicks "Post" and waits for success dialog
Extracts and returns the post URL

Formatting Notes

Double newlines (\n\n) become separate paragraphs
HTML entities are auto-escaped
LinkedIn supports emojis natively in post text
@mentions in text appear as plain text (not linked mentions) unless LinkedIn auto-resolves them

Cron Automation

To schedule LinkedIn posts via cron, ensure the browser is running and LinkedIn session is active. Example cron job text:


Post to LinkedIn: "Your scheduled content here" with image /path/to/image.png

The agent reads this skill, runs the script, and confirms the post URL.

Troubleshooting

Browser won't start: Script auto-starts via clawdbot browser start or the control server at :18791. If both fail, start manually.
Not logged in: Re-import cookies or log in manually via browser automation
Post button disabled: Text may be empty or image upload failed — check stderr
Timeout on selector: LinkedIn UI may have changed — update selectors in script

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/linkedin-post.js11 KB

Frequently asked questions

What does the Linkedin Post AI skill do?

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/kevinbadi/ai-os-skills/tree/main/linkedin-post. TypingMind reads its SKILL.md and bundles its files 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?

It is published on GitHub by kevinbadi. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

LinkedIn Post

Prerequisites

Quick Usage

Text-only post

Text + image post

Custom CDP port

Output

How It Works

Formatting Notes

Cron Automation

Troubleshooting

Bundled files

Frequently asked questions

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