Prismeto helps engineers distribute technical blog posts across multiple platforms (LinkedIn, Twitter, email newsletters) by automatically adapting content to each channel's format requirements.
git clone https://github.com/AaronSausage/prismeto.gitPrismeto is a content distribution tool designed for engineers and technical writers who want to amplify their blog posts without spending time on repetitive marketing tasks. It simplifies the workflow by taking markdown blog files and preparing optimized versions for different social platforms and email newsletters, each adapted to that channel's specific requirements. Rather than manually logging into LinkedIn, Twitter, email platforms, and other channels to reformat content, developers can use Prismeto to streamline the entire distribution process. The tool solves the common problem where engineers create valuable technical content but lack time or motivation to properly promote it across multiple channels.
["Identify your target platforms (e.g., LinkedIn, Twitter, email) and note their format constraints (e.g., character limits, tone).","Paste your blog post title and content into the prompt, replacing [BLOG_POST_TITLE] and [BLOG_POST_CONTENT].","Specify the platforms in [TARGET_PLATFORMS] and adjust [CHARACTER_LIMIT] if needed (e.g., 280 for Twitter).","Review the adapted outputs for accuracy and tone, then schedule or manually post them to each platform.","For email newsletters, customize the CTA (e.g., \"Reply with your feedback\") to match your audience’s engagement goals."]
Distribute a technical blog post to LinkedIn, Twitter, and email newsletter in one workflow
Adapt blog content to platform-specific character limits and formatting requirements
Eliminate repetitive copy-pasting and reformatting across social media platforms
Increase visibility of technical content without manual cross-posting effort
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/AaronSausage/prismetoCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use Prismeto to distribute the technical blog post '[BLOG_POST_TITLE]' to [TARGET_PLATFORMS: LinkedIn, Twitter, email newsletters]. Adapt the content for each platform by: 1) Shortening the post to [CHARACTER_LIMIT] for Twitter, 2) Adding a professional headline and bullet points for LinkedIn, 3) Creating a concise summary with a CTA for email newsletters. Include relevant hashtags and mentions where appropriate. The blog post content is: [BLOG_POST_CONTENT].
Here’s the multi-platform distribution for your technical blog post titled *"Optimizing Kubernetes Performance with eBPF"*: **Twitter (280 chars):** 🚀 New post: Optimizing Kubernetes Performance with eBPF. Learn how eBPF reduces latency by 30% in our benchmarks. #Kubernetes #eBPF #DevOps 🔗 Read more: [SHORTENED_URL] **LinkedIn (Professional Format):** **Headline:** How eBPF is Revolutionizing Kubernetes Performance **Bullet Points:** - 📊 Benchmarked a 30% reduction in latency using eBPF-based monitoring. - 🔧 Reduced CPU overhead by 20% compared to traditional tools. - 🛠️ Step-by-step guide to implementing eBPF in your cluster. **Full Post:** [BLOG_POST_LINK] #Kubernetes #CloudNative #PerformanceOptimization **Email Newsletter (Concise Summary):** Hi [SUBSCRIBER_NAME], We’ve just published a deep dive into how eBPF is transforming Kubernetes performance. Our benchmarks show a 30% latency reduction and 20% lower CPU usage—without sacrificing reliability. 🔗 Read the full post here: [BLOG_POST_LINK] Best, [YOUR_NAME] P.S. Reply to this email with your biggest Kubernetes challenge—we’re answering in next week’s newsletter!
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