LinkedIn Carousel Factory for Openclaw

A specialized AI skill that generates 10-slide, hook-driven LinkedIn carousels specifically tailored for mid-to-senior .NET developers.

lnguyen1996
v1.0.0
Mar 22, 2026
0
682
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install linkedin-carousel-factory

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install linkedin-carousel-factory using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is LinkedIn Carousel Factory?

LinkedIn Carousel Factory is a high-performance content generation engine designed to bridge the gap between technical expertise and social media impact. As a featured tool within the Openclaw Skills library, it transforms raw .NET topics into structured, engagement-optimized JSON carousels. It eliminates the friction of content creation by enforcing strict "no-fluff" voice rules and ensuring all code snippets meet .NET 8+ standards, making it an essential asset for developer advocates and technical influencers.

The skill is built to handle the entire content lifecycle, from initial hook generation to structured data output. By integrating seamlessly with the Openclaw Skills workflow, it ensures that every carousel produced is not only technically accurate but also strategically designed to capture the attention of a skeptical, experienced developer audience without using generic AI tropes.

LinkedIn Carousel Factory Use Cases

  • Generating weekly .NET technical content based on Openclaw Skills trend scouting reports.
  • Fulfilling on-demand content requests for specific .NET architectural topics or libraries.
  • Triggering automated Sunday night content pipelines for consistent Monday morning publishing.
  • Creating high-quality educational slides for senior-level developer audiences.

How LinkedIn Carousel Factory Works

  1. The user provides a topic, audience profile, and a specific goal such as educate or provoke.
  2. The skill analyzes the input and selects a high-impact hook angle to interrupt the scrolling pattern of .NET developers.
  3. A 10-slide JSON structure is generated, including specialized slide types like problem, content, comparison, and CTA.
  4. Technical code blocks are validated against .NET 8+ syntax requirements to ensure real-world applicability.
  5. The finalized draft is saved to the local Obsidian vault for review and post-generation workflows.

LinkedIn Carousel Factory Setup

To integrate this skill into your Openclaw Skills environment, ensure your directory structure is prepared for file output:

mkdir -p ~/Documents/Obsidian/ClawBrain/skills/draft/
touch memory/what_works.md

Configure your agent to recognize the LinkedIn Carousel Factory protocol and ensure it has write access to your local Obsidian vault.

LinkedIn Carousel Factory Data Schema & Taxonomy

The skill generates a structured JSON payload to ensure compatibility with design tools and downstream processing. The schema follows this taxonomy:

Key Type Description
topic String The core subject of the carousel
hook String The primary pattern-interrupting headline
slides Array A collection of 10 objects containing slide, type, headline, body, and code
type Enum Classification: hook, problem, content, comparison, warning, tip, or cta

Files are saved using the naming convention: carousel-[topic-slug]-[date].json.

LinkedIn Carousel Factory Advanced Features

  • Multi-agent handoff: Automatically triggers a Discord notification for manual review or Claude Code ACP punch-up.
  • Self-improvement loop: Logs successful hook angles and revision history in memory/what_works.md to refine future outputs.
  • Strict Voice Filtering: Built-in detection to remove common AI phrases like "leveraging" or "game-changer."
  • Automated code quality: Ensures all snippets are modern .NET 8+ without placeholder comments.

SKILL.md


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