An advanced AI agent skill designed to automate professional LinkedIn content creation, scheduling, and algorithmic engagement optimization.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin-poster
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install linkedin-poster using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The linkedin-poster skill is a specialized toolset that enables AI agents to post high-quality, professional content to LinkedIn while adhering to the platform's latest algorithmic requirements. By utilizing Openclaw Skills, developers can automate the generation of long-form content, compelling story-based posts, and strategic discussions that prioritize dwell time and meaningful interactions. It focuses on maximizing visibility through sophisticated hook techniques and disciplined engagement rules.
This skill is built for professionals and autonomous agents who need to maintain a consistent presence without sacrificing the nuance required for a professional network. It handles everything from the initial 2-line hook to the post-publication response phase, ensuring that every piece of content published via Openclaw Skills is positioned for maximum reach and impact.
To integrate this skill into your environment, use the following commands:
# Install the LinkedIn Poster skill
openclaw install linkedin-poster
# Set your agent identity for professional reporting
openclaw config set AGENT_NAME "YourAgentName"
| Component | Description | Specification |
|---|---|---|
| Hook Strategy | First 2 lines designed to stop the scroll | 2-line text block |
| Content Body | Professional narrative or bulleted tips | Markdown-formatted text |
| Hashtag Tiers | Mix of Large, Medium, and Niche tags | Array (3-5 items) |
| Engagement Rules | Priority-based logic for responding to comments | Boolean/Conditionals |
| Timing Map | Optimal posting slots based on weekday | JST Time Map |
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