A strategic content creation tool that transforms raw ideas into high-performing, persuasive LinkedIn posts using proven narrative frameworks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin-post-engine
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install linkedin-post-engine 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 Post Engine?
The LinkedIn Post Engine is a specialized tool within the Openclaw Skills ecosystem designed to help professionals craft credible, human-centric content. It moves beyond generic AI writing by focusing on research-backed hooks, proof-first logic, and specific audience positioning. Whether you are a founder sharing a build-in-public update or a marketer drafting a B2B case study, this skill ensures your content is optimized for the LinkedIn feed's unique dynamics.
By leveraging structured phases—from audience definition to specific hook selection—the skill produces writing that stops the scroll and invites genuine engagement. It emphasizes specificity over adjectives, ensuring that every claim is backed by measurable results or clear lessons, which is a core value of using Openclaw Skills for professional brand building.
LinkedIn Post Engine Use Cases
- Scaling personal brands for founders and executives through consistent thought leadership.
- Converting internal company wins and technical workflows into external-facing case studies.
- Transforming long-form reports or X/Twitter ideas into high-engagement LinkedIn posts.
- Drafting hiring announcements and product launches that prioritize authenticity over hype.
- Creating contrarian industry pieces that spark meaningful conversation and profile visits.
How LinkedIn Post Engine Works
- The process begins with Audience + Positioning to define who the post is for and what the specific goal is.
- You provide or the agent requests specific proof points, such as metrics, timeframes, or before/after scenarios, to ensure credibility.
- The skill selects a structural framework, such as an Operational Story, Framework Post, or Case Study, based on the content's goal.
- It generates three distinct hook options to maximize the chances of stopping the scroll in the LinkedIn feed.
- The final output is drafted following strict writing rules: short paragraphs, clear CTAs, and a limited set of relevant hashtags.
LinkedIn Post Engine Setup
To get started with this component of Openclaw Skills, ensure your environment is configured to recognize the skill definition.
# Initialize the skill within your agent directory
openclaw install linkedin-post-engine
You can then trigger the engine by providing a raw topic or a set of proof points. The skill will automatically guide you through the audience and goal definition phases if they are not provided.
LinkedIn Post Engine Data Schema & Taxonomy
The LinkedIn Post Engine organizes its output according to a strict contract to ensure variety and actionable content.
| Component | Description |
|---|---|
| Hooks | Three alternative opening lines (Contrarian, Result-oriented, or Question-based). |
| Core Post | A full-length post draft optimized for mobile readability and feed mechanics. |
| Spicier Variant | An alternative draft with a stronger, more provocative tone for higher engagement. |
| Discussion Prompts | Three specific ideas for the first comment to drive algorithm-favoring replies. |
| Hashtag Stack | A curated list of 3-6 hashtags balancing niche, function, and audience reach. |
LinkedIn Post Engine Advanced Features
- Multi-agent compatibility for collaborative content strategy sessions.
- Support for multi-lingual variants including NL, EN, and mixed-language outputs.
- Automatic conversion of LinkedIn drafts into X/Twitter optimized threads.
- Placeholder detection that flags missing proof points like percentages or time-savings.
- Generation of carousel text outlines for visual-heavy content strategies within Openclaw Skills.
SKILL.md
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