home / skills / fl-sean03 / agentic-science-worker / literature-search
npx playbooks add skill fl-sean03/agentic-science-worker --skill literature-searchReview the files below or copy the command above to add this skill to your agents.
---
name: literature-search
description: Search and retrieve scientific literature. Use when asked to find papers, research a topic, find citations, get paper abstracts, or conduct literature reviews. Accesses Semantic Scholar, arXiv, and other academic databases.
allowed-tools:
- Read
- Write
- Bash
- WebSearch
- WebFetch
---
# Scientific Literature Search
You are conducting scientific literature searches and reviews.
## Available Resources
### Semantic Scholar (Primary)
- 225M+ papers indexed
- Rich citation network
- AI-powered relevance ranking
- API access via MCP server
### arXiv
- Preprints in physics, materials science, chemistry
- Open access
- Latest research before peer review
### PubMed
- Biomedical and life sciences
- Peer-reviewed publications
### CrossRef
- DOI resolution
- Publication metadata
## Search Strategies
### Topic Search
When researching a topic:
1. Start with broad search terms
2. Refine based on initial results
3. Follow citation networks (cited by, references)
4. Look for review articles first
### Specific Paper Search
When looking for a specific paper:
1. Search by title (exact or partial)
2. Search by author + keywords
3. Search by DOI if known
### Citation Analysis
1. Find highly cited papers in the field
2. Look at recent papers citing foundational work
3. Identify key authors and groups
## Using Semantic Scholar MCP
The Semantic Scholar MCP server provides:
- Paper search
- Author search
- Citation information
- Paper recommendations
Example queries:
```
Search for papers on "CO2 adsorption in MOFs"
Find recent papers by Author Name about topic
Get citations for paper with ID xxx
```
## Using Web Search
For broader searches:
```
Search for "metal-organic framework CO2 capture" site:nature.com
Search for "LAMMPS force field" filetype:pdf
```
## Manual API Access (Fallback)
### Semantic Scholar API
```bash
curl "https://api.semanticscholar.org/graph/v1/paper/search?query=machine+learning+materials&limit=10"
```
### arXiv API
```bash
curl "http://export.arxiv.org/api/query?search_query=all:materials+science&max_results=10"
```
## Literature Review Workflow
1. **Define Scope**
- What specific question are you answering?
- What time period? (last 5 years typical)
- What subfields?
2. **Initial Search**
- Use 3-5 different keyword combinations
- Note total results to gauge field size
3. **Screen Results**
- Read titles and abstracts
- Flag relevant papers
- Note key authors and journals
4. **Deep Dive**
- Read full text of key papers
- Extract methods, parameters, findings
- Build citation network
5. **Synthesize**
- Identify consensus and controversies
- Note gaps in literature
- Summarize for user
## Extracting Information
From papers, extract:
- **Methods**: Simulation software, parameters, conditions
- **Force fields**: Which potentials used, parameters
- **Results**: Key numerical values, trends
- **Limitations**: What authors acknowledge
## Citation Format
Use consistent format:
```
Author1, Author2, et al. "Title." Journal Volume, Pages (Year). DOI: xxx
```
## Saving Results
Save literature search results to:
```
workspaces/project-name/literature/
├── search-results.md # Summary of search
├── key-papers.md # Annotated bibliography
├── extracted-parameters.md # Force field params, etc.
└── pdfs/ # Downloaded papers (if permitted)
```
## Web Download (via Playwright)
For downloading papers or supplementary info:
```
Use playwright to navigate to [URL] and download the PDF
```
Note: Respect copyright and access restrictions.
## Best Practices
1. **Document Everything**: Record search terms, dates, result counts
2. **Check Recency**: Prefer recent papers unless seeking foundational work
3. **Verify Citations**: Cross-check important claims
4. **Look for Reviews**: Start with review articles for new topics
5. **Follow Authors**: Key researchers often have related work
6. **Check Preprints**: arXiv may have newer versions
## Common Queries
### Materials Science
- Force field parameters for [material]
- DFT study of [property] in [material]
- Molecular dynamics of [process]
### Computational Methods
- Best practices for [simulation type]
- Convergence testing for [property]
- Comparison of [method A] vs [method B]
### Specific Materials
- [Material] synthesis and characterization
- [Material] applications in [field]
- [Material] properties: [specific property]