posting-linkedin — for Claude Code posting-linkedin, Digital-FTE, community, for Claude Code, ide skills, ai-agents, autonomous-systems, digital-empl, multi-agent-systems, LinkedIn

v1.0.0

About this Skill

Ideal for AI agents that need linkedin poster skill. posting-linkedin is an AI agent skill for linkedin poster skill.

Features

LinkedIn Poster Skill
Browser automation for LinkedIn posting.
Process approved posts
python scripts/run.py --process-approved
python scripts/run.py --post "Your post content here"

# Core Topics

AbdullahMalik17 AbdullahMalik17
[6]
[4]
Updated: 3/11/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
8/11
Quality Score
40
Canonical Locale
en
Detected Body Locale
en

Ideal for AI agents that need linkedin poster skill. posting-linkedin is an AI agent skill for linkedin poster skill.

Core Value

posting-linkedin helps agents linkedin poster skill. An open-source, self-evolving Digital FTE that autonomously manages your email, accounting, and social media using the Model Context Protocol # LinkedIn Poster Skill Browser automation for LinkedIn posting. This AI agent skill supports Claude

Ideal Agent Persona

Ideal for AI agents that need linkedin poster skill.

Capabilities Granted for posting-linkedin

Applying LinkedIn Poster Skill
Applying Browser automation for LinkedIn posting
Applying Process approved posts

! Prerequisites & Limits

  • Requires repository-specific context from the skill documentation
  • Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

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

Boot Container Sandbox

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?

Ideal for AI agents that need linkedin poster skill. posting-linkedin is an AI agent skill for linkedin poster skill.

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.

What are the use cases for posting-linkedin?

Key use cases include: Applying LinkedIn Poster Skill, Applying Browser automation for LinkedIn posting, Applying Process approved posts.

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.

Are there any limitations for posting-linkedin?

Requires repository-specific context from the skill documentation. Works best when the underlying tools and dependencies are already configured.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 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. 3. Start using the skill

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

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

posting-linkedin

Install posting-linkedin, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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

  1. Browser opens automatically
  2. Log in to LinkedIn manually
  3. 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

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