paper-search
Search and discover academic papers from arXiv and web sources using arxiv_to_prompt and web search
Best use case
paper-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search and discover academic papers from arXiv and web sources using arxiv_to_prompt and web search
Teams using paper-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/prismer-paper-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How paper-search Compares
| Feature / Agent | paper-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Search and discover academic papers from arXiv and web sources using arxiv_to_prompt and web search
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Paper Search Skill ## Description Search and discover academic papers from various databases and repositories. ## Tools Used - `arxiv_to_prompt` - Convert arXiv papers to LLM-readable text (search by arXiv ID) - `load_pdf` - Load PDF papers in the workspace viewer - Web search is available as a built-in agent capability ## Capabilities ### Search Academic Databases - arXiv (preprints in physics, math, CS, etc.) - Semantic Scholar (comprehensive academic search) - Google Scholar (broad academic coverage) - PubMed (biomedical literature) ### Retrieve Paper Information - Title, authors, abstract - Publication venue and date - Citation count and references - Download links (when available) ### Organize Results - Filter by date, citation count, relevance - Group by topic or author - Export to reference managers ## Usage Patterns ### Basic Search When user says: "Find papers about transformer architectures" 1. Formulate search query 2. Search primary databases (arXiv, Semantic Scholar) 3. Collect top results with metadata 4. Present organized list with key information ### Specific Author Search When user says: "Find recent papers by [Author Name]" 1. Search by author name 2. Filter by publication date 3. Show papers with co-authors and venues ### Citation Search When user says: "Find papers that cite [Paper Title]" 1. Identify the source paper 2. Search for citing papers 3. Organize by recency and relevance ### Related Work Search When user says: "Find related work for this topic" 1. Identify key concepts and terms 2. Search across multiple databases 3. Categorize by methodology or approach 4. Highlight highly cited foundational papers ## Output Format ### Single Paper Result ``` Title: [Paper Title] Authors: [Author List] Year: [Publication Year] Venue: [Journal/Conference] Abstract: [First 200 words...] Citations: [Count] Link: [URL] ``` ### Search Results Summary ``` Found [N] relevant papers: Top Results: 1. [Title] ([Year]) - [Citation Count] citations 2. [Title] ([Year]) - [Citation Count] citations ... Would you like me to: - Show detailed abstracts? - Filter by specific criteria? - Export to BibTeX? ``` ## Best Practices 1. **Query Refinement**: Start broad, then narrow down 2. **Multiple Sources**: Cross-reference across databases 3. **Citation Awareness**: Note highly-cited foundational works 4. **Recency Balance**: Mix recent and seminal papers 5. **Relevance Check**: Verify papers match research goals
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