posting-linkedin — for Claude Code posting-linkedin, Digital-FTE, community, for Claude Code, ide skills, LinkedIn posting automation, social media management, digital employee, autonomous systems, Claude Code, Cursor

Name: posting-linkedin
Availability: InStock
Author: AbdullahMalik17

v1.0.0

posting-linkedin is a self-evolving digital AI agent that autonomously manages social media using the Model Context Protocol.

Post directly to LinkedIn using Python scripts

Automate session persistence with config/linkedin_data/

Verify posts with python scripts/verify.py

Manage rate limits with 2 posts per day and 1 post per hour

Approve posts through Vault/Pending_Approval/ workflow

# Core Topics

for Claude Code LinkedIn posting automation social media management digital employee autonomous systems

AbdullahMalik17

[6]

[4]

Updated: 3/11/2026

GitHub

Labs Demo

Browser Sandbox Environment

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Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

posting-linkedin

Streamline your social media management with the posting-linkedin AI agent skill, designed for developers to automate LinkedIn posts and boost productivity.

SKILL.md

Readonly

LinkedIn Poster Skill

Browser automation for LinkedIn posting.

Quick Start

bash
1# Process approved posts
2python scripts/run.py --process-approved
3
4# Post directly
5python scripts/run.py --post "Your post content here"
6
7# Check session
8python scripts/run.py --check-session

First Run

Browser opens automatically
Log in to LinkedIn manually
Session persists in config/linkedin_data/

Rate Limits

2 posts per day
1 post per hour

Approval Workflow

Posts go through Vault/Pending_Approval/ before publishing.

Verification

Run: python scripts/verify.py

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is posting-linkedin?

posting-linkedin is a self-evolving digital AI agent that autonomously manages social media using the Model Context Protocol.

How do I install posting-linkedin?

Run the command: npx killer-skills add AbdullahMalik17/Digital-FTE/posting-linkedin. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

Which IDEs are compatible with posting-linkedin?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

↓ How To Install

1. Open your terminal

Open the terminal or command line in your project directory.
2. Run the install command

Run: npx killer-skills add AbdullahMalik17/Digital-FTE/posting-linkedin. The CLI will automatically detect your IDE or AI agent and configure the skill.
3. Start using the skill

The skill is now active. Your AI agent can use posting-linkedin immediately in the current project.

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