An automated web research system for discovering and organizing the latest developments in peptides, longevity science, and biohacking protocols.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install research-automation
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 research-automation 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 Research Automation?
The research-automation skill is a specialized intelligence tool designed for the Openclaw Skills ecosystem to streamline the discovery of emerging health data. It functions as an autonomous research assistant that scans academic journals, clinical trials, and social trends to identify high-signal information regarding human optimization. By synthesizing complex data into actionable insights, it allows users to stay at the forefront of rapidly evolving fields like longevity science without manual effort.
This skill is particularly valuable for content creators, researchers, and biohackers who need a consistent pulse on the industry. It transforms the way data is consumed by converting raw web search results into structured, categorized Markdown files that are ready for immediate use in content pipelines or knowledge management systems.
Research Automation Use Cases
- Tracking weekly updates on clinical studies and dosing protocols for new peptides.
- Monitoring daily trending health topics and viral controversies on social media to capture the zeitgeist.
- Discovering emerging longevity interventions and biomarkers to update personal optimization stacks.
- Generating unique content angles for newsletters and social media threads based on fresh scientific findings.
How Research Automation Works
- Query Construction: The system generates 3-5 highly targeted search queries based on the selected research topic.
- Multi-Source Search: It aggregates data from a diverse range of sources, including clinical databases, academic papers, and practical biohacking forums.
- Recency Filtering: The agent prioritizes information from the last 30 days to ensure all findings are current and relevant.
- Signal Extraction: It filters out generic wellness advice and repetitions to focus on novel, actionable, and evidence-based insights.
- Structured Output: Findings are saved into a date-stamped Markdown format, including key insights, source URLs, and generated content ideas.
Research Automation Setup
To integrate this with your existing Openclaw Skills, ensure your agent has access to web search tools. You can trigger the skill manually or via a scheduled heartbeat.
# To run a manual deep-dive research session:
Run research on [topic] with focus on [specific angle]
For automated recurring research, add the skill to your heartbeat configuration to define frequencies for different topics, such as daily runs for trending news or weekly runs for scientific research.
Research Automation Data Schema & Taxonomy
The skill organizes all research within a structured directory hierarchy in your workspace, ensuring that findings are easy to reference and archive.
| Path | Content Type | Purpose |
|---|---|---|
research/[topic]/[date].md |
Research Logs | Primary storage for findings, insights, and sources. |
notes/research-insights/ |
Breakthroughs | High-value, permanent notes for long-term reference. |
content/ |
Social Drafts | Content angles generated directly from research findings. |
HEARTBEAT.md |
Schedule | Configuration for automated research frequency. |
Research Automation Advanced Features
- Heartbeat Rotation: Configure different frequencies for various topics, such as daily trending scans and weekly scientific deep-dives.
- Content Integration: Automatically feeds research outputs into content creation files for Twitter, LinkedIn, and long-form articles.
- Custom Search Strategies: Uses a sophisticated mix of academic and clinical sources to ensure balanced and credible research results.
- Automated Insight Generation: Translates raw data into specific content angles and actionable protocols immediately after the search completes.
SKILL.md
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