literature-search
Comprehensive scientific literature search across PubMed, arXiv, bioRxiv, medRxiv. Natural language queries powered by Valyu semantic search.
Best use case
literature-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Comprehensive scientific literature search across PubMed, arXiv, bioRxiv, medRxiv. Natural language queries powered by Valyu semantic search.
Teams using literature-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/literature-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How literature-search Compares
| Feature / Agent | literature-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?
Comprehensive scientific literature search across PubMed, arXiv, bioRxiv, medRxiv. Natural language queries powered by Valyu semantic 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
# Literature Search
Search across all major scientific literature databases (PubMed, arXiv, bioRxiv, medRxiv) simultaneously using natural language queries powered by Valyu's semantic search API.
## Why This Skill is Powerful
- **No API Parameter Parsing**: Just pass natural language queries directly - no need to construct complex search parameters
- **Semantic Search**: Understands the meaning of your query, not just keyword matching
- **Full-Text Access**: Returns complete article content, not just abstracts
- **Image Links**: Includes figures and images from papers
- **Comprehensive Coverage**: Search across PubMed, arXiv, bioRxiv, and medRxiv simultaneously
- **Unified Results**: Get results from all sources in a single query
## Requirements
1. Node.js 18+ (uses built-in fetch)
2. Valyu API key from https://platform.valyu.ai ($10 free credits)
## CRITICAL: Script Path Resolution
The `scripts/search` commands in this documentation are relative to this skill's installation directory.
Before running any command, locate the script using:
```bash
LITERATURE_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/literature-search/*/scripts/*" -type f 2>/dev/null | head -1)
```
Then use the full path for all commands:
```bash
$LITERATURE_SCRIPT "CRISPR gene editing advances" 15
```
## API Key Setup Flow
When you run a search and receive `"setup_required": true`, follow this flow:
1. **Ask the user for their API key:**
"To search scientific literature, I need your Valyu API key. Get one free ($10 credits) at https://platform.valyu.ai"
2. **Once the user provides the key, run:**
```bash
scripts/search setup <api-key>
```
3. **Retry the original search.**
## When to Use This Skill
- Comprehensive literature reviews across all domains
- Finding all relevant research on a topic
- Cross-domain scientific discovery
- Combining biomedical, physics, and preprint literature
- Emerging research across disciplines
## Output Format
```json
{
"success": true,
"type": "literature_search",
"query": "CRISPR gene editing advances",
"result_count": 15,
"results": [
{
"title": "Article Title",
"url": "https://...",
"content": "Full article text with figures...",
"source": "pubmed|arxiv|biorxiv|medrxiv",
"relevance_score": 0.95,
"images": ["https://example.com/figure1.jpg"]
}
],
"cost": 0.025
}
```
## Processing Results
### With jq
```bash
# Get article titles
scripts/search "query" 20 | jq -r '.results[].title'
# Get URLs
scripts/search "query" 20 | jq -r '.results[].url'
# Extract full content
scripts/search "query" 20 | jq -r '.results[].content'
# Filter by source
scripts/search "query" 20 | jq -r '.results[] | select(.source == "arxiv") | .title'
```
## Common Use Cases
### Comprehensive Literature Review
```bash
# Search across all sources for thorough review
scripts/search "mechanisms of cellular senescence" 100
```
### Cross-Disciplinary Research
```bash
# Find papers spanning multiple fields
scripts/search "quantum computing applications in drug discovery" 50
```
### Recent Developments
```bash
# Get latest preprints and publications
scripts/search "foundation models for protein folding" 30
```
### Medical Research
```bash
# Search biomedical literature comprehensively
scripts/search "immunotherapy checkpoint inhibitors resistance" 40
```
## Error Handling
All commands return JSON with `success` field:
```json
{
"success": false,
"error": "Error message"
}
```
Exit codes:
- `0` - Success
- `1` - Error (check JSON for details)
## API Endpoint
- Base URL: `https://api.valyu.ai/v1`
- Endpoint: `/search`
- Authentication: X-API-Key header
## Architecture
```
scripts/
├── search # Bash wrapper
└── search.mjs # Node.js CLI
```
Direct API calls using Node.js built-in `fetch()`, zero external dependencies.
## Adding to Your Project
If you're building an AI project and want to integrate Literature Search directly into your application, use the Valyu SDK:
### Python Integration
```python
from valyu import Valyu
client = Valyu(api_key="your-api-key")
response = client.search(
query="your search query here",
included_sources=["valyu/valyu-pubmed", "valyu/valyu-arxiv", "valyu/valyu-biorxiv", "valyu/valyu-medrxiv"],
max_results=20
)
for result in response["results"]:
print(f"Title: {result['title']}")
print(f"URL: {result['url']}")
print(f"Content: {result['content'][:500]}...")
```
### TypeScript Integration
```typescript
import { Valyu } from "valyu-js";
const client = new Valyu("your-api-key");
const response = await client.search({
query: "your search query here",
includedSources: ["valyu/valyu-pubmed", "valyu/valyu-arxiv", "valyu/valyu-biorxiv", "valyu/valyu-medrxiv"],
maxResults: 20
});
response.results.forEach((result) => {
console.log(`Title: ${result.title}`);
console.log(`URL: ${result.url}`);
console.log(`Content: ${result.content.substring(0, 500)}...`);
});
```
See the [Valyu docs](https://docs.valyu.ai) for full integration examples and SDK reference.Related Skills
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