academic-research-hub
Use this skill when users need to search academic papers, download research documents, extract citations, or gather scholarly information. Triggers include: requests to "find papers on", "search research about", "download academic articles", "get citations for", or any request involving academic databases like arXiv, PubMed, Semantic Scholar, or Google Scholar. Also use for literature reviews, bibliography generation, and research discovery. Requires OpenClawCLI installation from clawhub.ai.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/anisafifi/academic-research-hubWhat This Skill Does
The academic-research-hub is a specialized OpenClaw AI agent skill designed to streamline the retrieval, management, and analysis of scholarly literature. By integrating with major academic databases like arXiv, PubMed, and Semantic Scholar, it empowers users to automate the research process. The skill enables you to search across diverse scientific fields, download full-text PDF documents, extract precise citation data, and generate structured bibliographies. It is an essential tool for students, researchers, and data scientists looking to synthesize vast amounts of academic information into actionable insights directly within their local development environment.
Installation
To begin using this skill, you must have the OpenClawCLI installed. First, ensure you have the required Python dependencies by running the standard installation: pip install arxiv scholarly pubmed-parser semanticscholar requests. It is highly recommended to perform this within a dedicated virtual environment to maintain system stability. Always avoid using the --break-system-packages flag. Once configured, you can finalize the integration by running: clawhub install openclaw/skills/skills/anisafifi/academic-research-hub in your terminal.
Use Cases
- Literature Reviews: Rapidly gather and curate papers on specific topics like 'Large Language Models' or 'CRISPR gene editing'.
- Automated Bibliography Management: Instantly generate BibTeX or RIS files for your research papers or academic projects.
- Targeted Data Collection: Retrieve specific metadata such as DOIs, publication years, and author lists to feed into your own data analysis pipelines.
- Large-Scale Document Downloads: Automate the acquisition of batches of research papers for offline reading or local LLM context ingestion.
Example Prompts
- "Find the top 5 papers on quantum error correction published in 2023 and save the citations as a BibTeX file."
- "Search PubMed for recent articles on the link between gut microbiome and neurodegenerative diseases and download the available PDFs."
- "Get a list of citations for the latest machine learning research from Semantic Scholar regarding transformers."
Tips & Limitations
To maximize efficiency, utilize the built-in filtering options such as --category or --year to narrow down results. Note that while arXiv and Semantic Scholar provide robust API access, Google Scholar is limited due to platform restrictions. Always ensure you have sufficient local storage when running batch downloads. The skill is highly dependent on external database uptime, so be prepared for occasional connection variability when performing broad searches.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-anisafifi-academic-research-hub": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read, external-api
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