literature-search
Find and compile academic literature with citation lists across Google Scholar, PubMed, arXiv, IEEE, ACM, Semantic Scholar, Scopus, and Web of Science. Use for requests like “find related literature,” “related work,” “citation list,” or “key papers on a topic.”
Why use this skill?
Automate your academic literature review with the OpenClaw literature-search skill. Discover papers across arXiv, PubMed, IEEE, and more.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/jpjy/literature-searchWhat This Skill Does
The literature-search skill is an advanced academic research assistant designed for the OpenClaw agent. It streamlines the complex process of identifying, filtering, and organizing scholarly literature across a wide array of databases including Semantic Scholar, PubMed, arXiv, IEEE, and ACM. By automating the discovery phase of research, it helps users rapidly compile literature reviews, identify foundational papers, and stay up-to-date with emerging academic trends. The skill enforces a rigorous, deep-thinking process by prepending an analytical instruction to every query, ensuring that results are highly relevant to the specific sub-fields, time ranges, and technical scopes defined by the user.
Installation
To add this capability to your OpenClaw agent, execute the following command in your terminal:
clawhub install openclaw/skills/skills/jpjy/literature-search
Use Cases
This skill is indispensable for students, researchers, and engineers who need to perform literature reviews without manual, time-consuming searches. Common use cases include:
- Developing a 'Related Work' section for a research paper.
- Identifying the top foundational papers in a newly explored technical domain.
- Finding recent, peer-reviewed advancements in medical or engineering fields.
- Filtering academic noise by prioritizing high-citation or conference-verified versions of papers.
- Converting search results into structured formats like BibTeX or CSV for reference managers.
Example Prompts
- "Find foundational and survey papers on retrieval-augmented generation (RAG) to help me write my literature review."
- "Please think very deeply and collect citations about multi-agent reinforcement learning in robotics, focusing on papers from the last three years."
- "I need a curated citation list for papers specifically regarding federated learning privacy attacks in healthcare settings."
Tips & Limitations
To get the best results, provide as much context as possible, including time constraints and specific sub-areas. Note that while this skill searches multiple databases, it strictly follows ethical data access policies. It will not attempt to scrape restricted sites (like Scopus or Web of Science) unless you explicitly provide necessary institutional credentials. Google Scholar results cannot be automated directly, but the skill can process user-provided export files to incorporate them into your bibliography. Always verify the DOI/URL in the output for the most current access status to the full-text paper.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-jpjy-literature-search": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api, network-access