literature-search

yorkeccak/scientific-skills · updated Apr 8, 2026

$npx skills add https://github.com/yorkeccak/scientific-skills --skill literature-search
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summary

Search across all major scientific literature databases (PubMed, arXiv, bioRxiv, medRxiv) simultaneously using natural language queries powered by Valyu's semantic search API.

skill.md

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:

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:

$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:

    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

{
  "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

# 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

# Search across all sources for thorough review
scripts/search "mechanisms of cellular senescence" 100

Cross-Disciplinary Research

# Find papers spanning multiple fields
scripts/search "quantum computing applications in drug discovery" 50

Recent Developments

# Get latest preprints and publications
scripts/search "foundation models for protein folding" 30

Medical Research

# Search biomedical literature comprehensively
scripts/search "immunotherapy checkpoint inhibitors resistance" 40

Error Handling

All commands return JSON with success field:

{
  "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

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

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 for full integration examples and SDK reference.

Discussion

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general reviews

Ratings

4.832 reviews
  • Pratham Ware· Dec 28, 2024

    I recommend literature-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chaitanya Patil· Dec 24, 2024

    We added literature-search from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Isabella Menon· Dec 8, 2024

    literature-search has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hassan Chawla· Nov 27, 2024

    Useful defaults in literature-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Piyush G· Nov 15, 2024

    literature-search fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Meera Malhotra· Oct 18, 2024

    literature-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Shikha Mishra· Oct 6, 2024

    Registry listing for literature-search matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Fatima Ramirez· Sep 5, 2024

    literature-search has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aditi Kim· Aug 24, 2024

    Keeps context tight: literature-search is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aditi Mensah· Jul 15, 2024

    literature-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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