A specialized AI tool designed to craft high-engagement LinkedIn posts, headlines, and captions locally on your machine.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin-post-generator-nivas
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-generator-nivas 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 Generator?
LinkedIn Post Generator is a purpose-built utility within the Openclaw Skills framework that enables professionals to draft and refine high-quality LinkedIn content without relying on external APIs. It focuses on local execution, ensuring privacy while providing sophisticated text generation for professional storytelling, career milestones, and technical insights.
By leveraging specific audience personas and professional optimization patterns, this skill transforms raw ideas or outlines into structured posts. It prioritizes readability and engagement metrics—such as likes, comments, and impressions—by adhering to platform-specific conventions like strong hooks and concise, punchy paragraphs.
LinkedIn Post Generator Use Cases
- Announcing new roles, project launches, or professional milestones with a warm yet professional tone.
- Rewriting internal technical documentation or project notes into accessible, engagement-focused social content.
- Generating multiple variants of "hooks" to test which first line best captures a professional audience's attention.
- Tailoring existing drafts to specific audiences like recruiters, tech leaders, or fellow software engineers.
How LinkedIn Post Generator Works
- The skill parses the user's request to identify the core topic, intended goal, and any provided outlines or drafts.
- It determines the optimal tone (e.g., inspirational, technical, or casual) and length based on the specific professional context.
- A local Python-based helper script is triggered to format the content, or the AI agent generates the draft directly using LinkedIn-optimized patterns.
- The output is polished with a strong opening hook, white space for readability, and a strategic Call to Action (CTA).
- Final suggestions for hashtags and alternative headlines are provided to maximize reach.
LinkedIn Post Generator Setup
To integrate this capability into your Openclaw Skills workspace, ensure you have the local script environment configured:
# Navigate to your skills directory
cd ~/.openclaw/skills/linkedin-post-generator
# Ensure the generation script has execute permissions
chmod +x scripts/generate_post.py
# Run a test generation via CLI (optional)
python3 scripts/generate_post.py --topic "AI system design" --tone "professional"
LinkedIn Post Generator Data Schema & Taxonomy
The skill manages content through a structured input-output flow to maintain consistency across different Openclaw Skills implementations:
| Attribute | Description | Values |
|---|---|---|
| Goal | Primary intent of the post | announce, share learning, ask, promote |
| Tone | The linguistic style of the draft | professional, friendly, technical, storytelling |
| Length | Complexity of the output | short (1-3 paras), medium, long (essay style) |
| Audience | The target reader profile | engineers, recruiters, founders, students |
| Hooks | Strategic first lines | Array of 1-5 variants |
LinkedIn Post Generator Advanced Features
- Personalized Optimization: Automatically tailors content for specific professional profiles (e.g., Kusumanchi Srinivas) to emphasize backend engineering or AI/ML leadership.
- Fallback Generation: Seamlessly switches between a deterministic Python helper script and direct model generation if scripts are unavailable.
- Variant Testing: Generates multiple hook options and alternative lengths to allow for A/B testing on the platform.
- Ethical Guardrails: Built-in safety checks to prevent the generation of fake credentials or spammy growth-hacking content.
SKILL.md
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