Agent skill

academic-research

A tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill academic-research-joshuaroll-research-skills-3 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/analysis/academic-research-joshuaroll-research-skills-3/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

# Academic Research Skill This skill allows you to function as an academic researcher, finding and analyzing scholarly papers with a focus on impact and provenance. ## Capabilities 1. **Search Papers**: Find papers by keyword, ensuring relevance. 2. **Analyze Impact**: Filter by citation count to identify seminal works. 3. **Trace Provenance**: (Optional) Find papers that cite a target paper to seeing how the field evolved. 4. **Get Details**: Retrieve abstracts and direct PDF links. ## Usage Run the python script `search_papers.py` to perform searches. ### Arguments * `query` (required): The search term. * `--limit` (optional): Max results (default 5). * `--year` (optional): Year range (e.g., "2023-2025"). * `--sort` (optional): Sort by "relevance" or "citationCount" (default "relevance"). * `--open-access` (optional): Only return open access papers. ### Example ```bash # Find top 5 seminal papers on "Large Language Models" python3 search_papers.py "Large Language Models" --sort citationCount --limit 5 # Find recent research on "RAG" from 2024 python3 search_papers.py "Retrieval Augmented Generation" --year 2024-2025 ``` ## Output Format The script outputs a JSON object (or JSON-l

What's inside
Steps it walks through
  1. Capabilities
  2. Usage
  3. Arguments
  4. Example
  5. Output Format
  6. Tips for the Agent
Ships with 1 file
  • metadata.json
Commands it runs
Find top 5 seminal papers on "Large Language Models"
python3 search_papers.py "Large Language Models" --sort citationCount --limit 5
Find recent research on "RAG" from 2024
python3 search_papers.py "Retrieval Augmented Generation" --year 2024-2025
More from claude-skill-registry
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About this skill
What does the academic-research skill do?

A tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill academic-research-joshuaroll-research-skills-3 --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 majiayu000/claude-skill-registry, a repository with 534 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.

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