Agent skill · AI & Agents

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.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill academic-research-hub --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Requires: - multi-search-engine
Path: skills/neuroclaw/academic-research-hub/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Academic Research Hub ## Overview Academic Research Hub provides unified access to multiple academic databases (arXiv, PubMed, Semantic Scholar, etc.) for searching papers, downloading PDFs, extracting citations, and generating bibliographies. It is the recommended tool for literature review and reference management in NeuroClaw. **Prerequisite:** Install [OpenClawCLI](https://clawhub.ai/) (Windows, MacOS) ## Installation **Best Practices:** ```bash # Standard installation pip install arxiv scholarly pubmed-parser semanticscholar requests # If you encounter permission errors, use a virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install arxiv scholarly pubmed-parser semanticscholar requests ``` **Never use `--break-system-packages`** as it can damage your system's Python installation. ## Quick Reference | Task | Command | |-------------------------|------------------------------------------------------| | Search arXiv | `python scripts/research.py arxiv "quantum computing"` | | Search PubMed | `python scripts/research.py pubmed "covid vaccine"` | | Search Semantic Scholar | `python scripts/research.py semantic "machine lear

What's inside
Steps it walks through
  1. Overview
  2. Installation
  3. Quick Reference
  4. Core Features
  5. When to Call This Skill
  6. Benchmark Adapter Guidance
  7. Benchmark-Facing Default Mainline
  8. Complementary / Related Skills
  9. Reference
Commands it runs
Standard installation
pip install arxiv scholarly pubmed-parser semanticscholar requests
If you encounter permission errors, use a virtual environment
python -m venv venv
source venv/bin/activate   # On Windows: venv\Scripts\activate
More from awesome-bio-agent-skills
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About this skill
What does the academic-research-hub skill do?

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.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill academic-research-hub --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going