Linkedin Engage

Community

kevinbadi

linkedin-engage

Like and comment on employee LinkedIn posts via browser automation. Checks a LinkedIn profile for new posts, likes them, and drops hype comments. Deduplicates via database so each post only gets one engagement. Trigger when asked to engage with LinkedIn posts, like/comment on employee posts, or run LinkedIn engagement automation.

Overview

Publisher	kevinbadi
Repository	`ai-os-skills`
Skill name	`linkedin-engage`
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 Engage 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-engage
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-engage .claude/skills/linkedin-engage

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin Engage 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 Engage 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 Engage 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 Engage (Like & Comment)

Automated LinkedIn engagement bot: visits a colleague's profile, finds new posts, likes them, and drops a hype comment.

Prerequisites

Chrome with CDP running (Clawdbot browser)
Logged into LinkedIn in the browser session
ws and pg npm packages
DATABASE_URL env var

Quick Usage

Check and engage with Kevin's posts

bash
node skills/linkedin-engage/scripts/linkedin-engage.js --profile "YourLinkedInSlug"

Custom comment style

bash
node skills/linkedin-engage/scripts/linkedin-engage.js \
  --profile "YourLinkedInSlug" \
  --commenter "Kev's Assistant from CreatorOS"

Dry run (scrape only, no engagement)

bash
node skills/linkedin-engage/scripts/linkedin-engage.js --profile "YourLinkedInSlug" --dry-run

Custom CDP port

bash
node skills/linkedin-engage/scripts/linkedin-engage.js --profile "YourLinkedInSlug" --cdp-port 18800

CLI Options

Flag	Default	Description
`--profile`	(required)	LinkedIn profile slug (e.g. "YourLinkedInSlug")
`--commenter`	"Kev's Assistant"	Name to sign off comments (for context)
`--limit`	5	Max posts to engage with per run
`--cdp-port`	18800	Chrome CDP port
`--dry-run`	false	Scrape posts but don't like/comment

Workflow

Navigate to linkedin.com/in/{profile}/recent-activity/all/
Scrape visible post previews (text, post URN, timestamp)
Check linkedin_engagements DB table for already-engaged posts
For each new post: a. Click into the post (or scroll to it) b. Click the Like button c. Click the Comment box, type a hype comment, submit
Store engagement in DB
Output JSON summary

Database

Uses linkedin_engagements table:

post_hash (TEXT, unique): MD5 of post content prefix
profile_slug (TEXT): whose post it was
post_text (TEXT): first ~200 chars of post content
liked (BOOLEAN): whether we liked it
commented (BOOLEAN): whether we commented
comment_text (TEXT): the comment we left
engaged_at (TIMESTAMPTZ): when engagement happened

Comment Generation

The script generates short, authentic hype comments based on post content. Comments are varied, enthusiastic, and reference specifics from the post. No generic "Great post!" — every comment ties to what was actually said.

Cron Automation

Schedule daily engagement:


Check your LinkedIn for new posts and engage — like and drop a hype comment on any new posts from YourLinkedInSlug

Troubleshooting

Not logged in: Re-import LinkedIn cookies or log in manually
No posts found: Profile may have no recent activity, or selectors changed
Like button not clickable: Post may already be liked (script skips these)
Comment not submitting: LinkedIn's comment editor selectors may have changed

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-engage.js24 KB

Frequently asked questions

What does the Linkedin Engage AI skill do?

Why use Linkedin Engage on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kevinbadi/ai-os-skills/tree/main/linkedin-engage. 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 Engage?

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 Engage?

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

Is the Linkedin Engage 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 Engage (Like & Comment)

Prerequisites

Quick Usage

Check and engage with Kevin's posts

Custom comment style

Dry run (scrape only, no engagement)

Custom CDP port

CLI Options

Workflow

Database

Comment Generation

Cron Automation

Troubleshooting

Bundled files

Frequently asked questions

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