linkedin-post

Generate LinkedIn posts with inline citations from 20+ sources.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Number531/Legal-API --skill linkedin-post-number531
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: linkedin-post
Source: https://github.com/Number531/Legal-API/tree/main/.claude/skills/linkedin-post
Command: npx skills add https://github.com/Number531/Legal-API --skill linkedin-post-number531

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Research and publish LinkedIn posts as Aperture thought leadership. Triggers on: "write a linkedin post about...", "linkedin post on...", "post about... on linkedin", or any request to create LinkedIn content about AI enterprise topics. Performs exhaustive web research (20+ sources), drafts a professional intellectually provocative post (200-300 words), presents for review, then automates posting via Chrome DevTools MCP.

Core Features & Use Cases

  • Draft rigorous LinkedIn posts grounded in verified sources
  • Maintain post history and provenance for investor and governance contexts
  • Prepare posts that align with Aperture’s candor and verification-centered messaging

Quick Start

Draft a LinkedIn post about the governance and verification requirements for enterprise AI deployments.

Frequently Asked Questions about linkedin-post

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write a LinkedIn post with inline citations from web research?

To write a LinkedIn post with inline citations, this Skill performs exhaustive web research across 20+ sources, drafts a 200-300 word post, and appends a sources list with inline citations for verifiable thought leadership.

Can I automate posting to LinkedIn using Chrome DevTools?

Yes, you can automate posting to LinkedIn using Chrome DevTools MCP. This Skill drafts your verified content for review, then automates the final posting directly through the Chrome DevTools protocol.

What is a verifiable LinkedIn post for enterprise AI contexts?

A verifiable LinkedIn post for enterprise AI is a 200-300 word draft grounded in 20+ researched sources, featuring inline citations and provenance tracking to ensure governance and verification alignment.

How do I create thought leadership content for cross-domain deal execution?

To create thought leadership content for cross-domain deal execution, trigger this Skill with your topic to generate a research-backed post with inline citations, provenance history, and hashtags suitable for investor audiences.

Does this LinkedIn post generator require any external dependencies?

No, this LinkedIn post generator requires no external dependencies to draft content. It autonomously handles research, drafting, and source listing, relying solely on Chrome DevTools MCP for the optional automated posting phase.

What are the limitations of automating LinkedIn posts with AI research?

A limitation of automating LinkedIn posts with AI research is the strict 200-300 word draft constraint, requiring human review before the automated Chrome DevTools posting to ensure alignment with verification-centered messaging.