research-automation

What This Skill Does

The research-automation skill serves as a dedicated intelligence layer for OpenClaw, specifically architected for the biohacking and longevity sectors. It operates as an autonomous research assistant that continuously monitors the web for emerging scientific studies, clinical trial results, and trending health discussions. By synthesizing data from academic papers, specialized health forums, and social discourse, the skill produces structured intelligence reports. Its core engine uses multi-stage query construction to ensure information diversity, prioritizing fresh, peer-reviewed data while filtering out noise. The output is standardized into markdown files, allowing for immediate integration into your knowledge base or content creation pipeline. Whether you are tracking a new GLP-1 peptide trial or optimizing a cognitive enhancement stack, this skill reduces the time spent on manual browsing by providing curated, actionable insights directly in your workspace.

Installation

To integrate the research-automation skill into your OpenClaw environment, use the primary installation command:

clawhub install openclaw/skills/skills/biohackerrrrrr/research-automation

Ensure that your OpenClaw instance has appropriate file-write permissions enabled, as the skill generates recurring research logs in the research/ directory structure. Once installed, the skill will automatically initialize its heartbeat cycle.

Use Cases

• Scientific Literature Review: Keep up with the latest advancements in longevity science and peptide therapeutics without manually scouring databases.
• Trend Forecasting: Identify viral biohacking techniques before they reach the mainstream, allowing for early adoption and content creation.
• Protocol Optimization: Cross-reference existing biohacking stacks with new clinical data to refine dosing and safety protocols.
• Content Pipeline: Automate the generation of tweet threads, LinkedIn posts, and newsletter topics based on the most relevant research findings of the week.

Example Prompts

1. "Run research on NAD+ precursors - focus on current oral bioavailability vs. IV infusion efficacy."
2. "Search for the latest human clinical trials involving BPC-157 for joint recovery and summarize key findings."
3. "Run a research update on the top trending biohacking protocols for cognitive performance mentioned in the last 48 hours."

Tips & Limitations

• Configuration: You can adjust the recency filter in the skill settings to look back further than the default 30 days if you are conducting long-term meta-analysis.
• Source Diversity: The skill is most effective when given specific angles; broad queries may yield generic results. Try to define the 'why' behind your research.
• Human Oversight: While the skill curates high-quality information, medical research requires interpretation. Always treat research findings as reference material rather than direct medical advice.
• Storage: Regularly archive your research/ folders to keep your local directory organized as the heartbeat runs daily.