linkedin-archive

Move published LinkedIn content into a structured private datastore with git integration.

10|1|Updated Jun 29, 2026

Search Tags:#automation #workflow #content management #linkedin #archiving #datastore

Ready to run

npx skills add https://github.com/mishahanin/heading-os --skill linkedin-archive

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: linkedin-archive
Source: https://github.com/mishahanin/heading-os/tree/main/.claude/skills/linkedin-archive
Command: npx skills add https://github.com/mishahanin/heading-os --skill linkedin-archive

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill solves the fragmentation of professional content by automating the transfer of published LinkedIn posts, articles, and comments from staging areas into a structured, version-controlled private archive.

Core Features & Use Cases

Automated Archiving: Moves content and associated media from staging folders to a typed datastore directory structure.
Validation & Safety: Performs dry-runs, checks for destination conflicts, and requires explicit user confirmation before any disk mutation.
Use Case: After publishing a thought-leadership article on LinkedIn, use this skill to instantly move the draft and images into your permanent knowledge base for future reference and SEO tracking.

Quick Start

Tell the system that you just published a post on LinkedIn to trigger the automated archiving process for your latest content.

Frequently Asked Questions about linkedin-archive

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

FAQPage Schema

How do I automate archiving published LinkedIn content to a private datastore?▼

You can automate LinkedIn content archiving by moving published posts, articles, and comments from staging directories into a structured private datastore, resolving media attachments before executing file system operations.

What is the best way to maintain version control over my LinkedIn posts and articles?▼

Maintaining version control over LinkedIn posts requires git integration during the archival process. This ensures data integrity by tracking content changes as files are moved into your permanent knowledge base.

Does the LinkedIn archiving process require manual approval before moving files?▼

Yes, the LinkedIn archiving process requires explicit manual user approval before executing any disk mutations. It performs dry-runs and checks for destination conflicts to ensure data integrity.

How do I move LinkedIn media attachments from staging folders into a permanent archive?▼

Moving LinkedIn media attachments from staging folders requires resolving the associated content types before transferring files. The archival workflow automatically structures these attachments into your private datastore.

Can I use this content management workflow without git integration?▼

No, git integration is explicitly required for the LinkedIn content archival workflow. It provides the version control necessary to track changes and ensure data integrity when moving files into the structured datastore.