A comprehensive discovery engine that matches researchers with specialized AI agents and Openclaw Skills across 10 scientific categories.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install science-agent-recommend
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 science-agent-recommend using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Science Agent Recommend is a technical discovery tool designed to bridge the gap between researchers and the rapidly evolving world of scientific AI. By leveraging a curated database of 131+ projects and 32 skill hubs, it provides personalized suggestions for researchers looking to automate bioinformatics, drug discovery, and clinical workflows. This tool is a central entry point for navigating the vast directory of Openclaw Skills specifically tuned for high-impact scientific discovery.
The system utilizes a structured decision tree to analyze user research domains—ranging from genomics to cheminformatics—and identifies the most mature, star-rated projects available. Whether you are looking for a full-scale research agent like AutoResearchClaw or modular scripts for molecular visualization, this skill ensures you find the right technical fit for your laboratory needs.
To access the underlying directory metadata programmatically, you can use the provided API. This allows developers to integrate the Openclaw Skills repository into their own custom research agents.
# Retrieve all projects, skills, and skill hubs with metadata
curl -s "https://claw4science.org/api/projects"
The response includes a full list of projects, each featuring a title, description, repository link, and static star count for easy filtering.
The skill utilizes a structured metadata taxonomy to organize its scientific recommendations. This data ensures that users receive the most relevant Openclaw Skills for their specific research context.
| Entity | Metadata Fields |
|---|---|
| Project | Title, Description, Repository URL, Star Count, Installation Type |
| Skill Hubs | Total Skills, Technical Focus (e.g., Clinical, ML, Cognitive) |
| Categories | Domain (Bioinformatics, Chemistry, etc.), Task (Analysis, Writing, Benchmarking) |
The system currently tracks over 6,300 skills in the official registry and over 240 specialized scientific skills in the K-Dense hub.
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