A CLI-driven skill that automates the conversion of complex PubMed research papers into accessible, SEO-optimized healthcare blog content.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pubmed2blog
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 pubmed2blog using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The pubmed2blog skill is a specialized tool designed for healthcare marketers, medical researchers, and content creators who need to bridge the gap between academic research and public health communication. By integrating directly with the PubMed database, this skill enables users to identify high-impact studies and translate them into various blog formats ranging from lay-audience explainers to patient-facing guides. This addition to Openclaw Skills streamlines the entire medical content pipeline, ensuring that clinical insights are shared accurately, professionally, and at scale.
Whether you are managing a clinic's blog or a global wellness platform, this skill provides the automation necessary to keep your audience informed with evidence-based content. It handles the heavy lifting of technical summarization, jargon reduction, and multi-language translation, allowing teams to focus on strategy rather than manual rewriting.
To begin using this skill, install the package globally via npm and run the interactive setup to configure your API keys.
npm install -g pubmed2blog
pubmed2blog init
You will need to provide valid credentials for your preferred LLM provider (Anthropic, OpenAI, or Z.AI) to enable content generation features within Openclaw Skills.
The skill manages research data and generated content using PubMed IDs (PMID) as the primary index for all operations.
| Data Element | Description |
|---|---|
| PMID | Unique identifier for the source PubMed research paper. |
| Article Type | The structural template used (e.g., patient-facing, research-explainer, differentiation). |
| Metadata | Extracted study details including authors, publication date, and abstract data. |
| JSON Output | Structured data representation of the paper for programmatic use. |
| Markdown Article | The final generated blog post ready for CMS import. |
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