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pubmed-search — Claude Code skill: what it does, how to install

Natural language biomedical search across PubMed powered by Valyu semantic API. Fetches complete article texts and figures directly into your coding agent.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add yorkeccak/scientific-skills --skill pubmed-search -a claude-code
Open on GitHub

What pubmed-search does

This skill queries the PubMed database with natural language prompts instead of complex boolean operators. Valyu handles semantic matching. Responses contain full paper texts rather than brief abstracts, complete with figure links.

Under the hood, it relies on two files: a Bash wrapper scripts/search and scripts/search.mjs. The script relies on native Node.js fetch() without external npm dependencies. Output arrives as structured JSON, ready for shell processing with jq.

Running the tool demands Node.js 18 or newer and an API key from https://platform.valyu.ai. Without this credential, queries exit with setup_required: true until configured via scripts/search setup <api-key>.

What it helps with

  • search biomedical papers on PubMed using plain language queries
  • retrieve full article text instead of basic abstracts
  • collect figure URLs and research data for literature reviews
  • filter clinical trials and gene function findings via jq

Example prompts for the agent

  • Search PubMed for recent studies on COVID-19 vaccine efficacy, return 15 results.
  • Find papers about BRCA1 mutations and breast cancer risk.
  • Configure pubmed-search with my Valyu key using the setup command.

How to install pubmed-search

1Skills CLI (Vercel)

npx skills add yorkeccak/scientific-skills --skill pubmed-search -a claude-code

2Manually: put the files in place

~/.claude/skills/pubmed-search/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/pubmed-search/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about pubmed-search

How to install pubmed-search in Claude Code?

Run npx skills add yorkeccak/scientific-skills --skill pubmed-search -a claude-code. This installs the skill files into your assistant environment.

What data does pubmed-search return?

Each query outputs JSON with article titles, URLs, complete content, relevance scores, estimated cost, and direct image links to paper figures.

What prerequisites are required for pubmed-search?

You need Node.js 18+ and a Valyu API key obtained from https://platform.valyu.ai. Save the key using scripts/search setup <api-key>.

Source text

SKILL.md · MIT
---
name: pubmed-search
description: Search PubMed biomedical literature with natural language queries powered by Valyu semantic search. Full-text access, integrate into your AI projects.
keywords:
  - pubmed
  - biomedical-literature
  - medical-research
  - semantic-search
  - natural-language-queries
  - full-text-search
  - research-integration
license: MIT
---

# PubMed Search

Search the complete PubMed database of biomedical literature 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**: Access to all of PubMed's biomedical literature

## 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
PUBMED_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/pubmed-search/*/scripts/*" -type f 2>/dev/null | head -1)
```

Then use the full path for all commands:
```bash
$PUBMED_SCRIPT "CRISPR gene editing" 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 PubMed, 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.**

### Example Flow:
```
User: Search PubMed for CAR-T cell therapy advances
→ Response: {"success": false, "setup_required": true, ...}
→ Claude asks: "Please provide your Valyu API key from https://platform.valyu.ai"
→ User: "val_abc123..."
→ Claude runs: scripts/search setup val_abc123...
→ Response: {"success": true, "type": "setup", ...}
→ Claude retries: scripts/search "CAR-T cell therapy advances" 10
→ Success!
```

## Usage

### Basic Search

```bash
scripts/search "your natural language query" [maxResults]
```

### Examples

```bash
# Search for recent COVID-19 research
scripts/search "COVID-19 vaccine efficacy studies" 15

# Find papers on a specific gene
scripts/search "BRCA1 mutations and breast cancer risk" 20

# Search for treatment approaches
scripts/search "immunotherapy for melanoma clinical trials" 10

# Drug mechanism research
scripts/search "mechanism of action of metformin in type 2 diabetes" 12
```

### Setup Command

```bash
scripts/search setup <api-key>
```

## Output Format

```json
{
  "success": true,
  "type": "pubmed_search",
  "query": "CRISPR gene editing",
  "result_count": 10,
  "results": [
    {
      "title": "Article Title",
      "url": "https://pubmed.ncbi.nlm.nih.gov/...",
      "content": "Full article text with figures...",
      "source": "pubmed",
      "relevance_score": 0.95,
      "images": ["https://example.com/figure1.jpg"]
    }
  ],
  "cost": 0.025
}
```

## Processing Results

### With jq

```bash
# Get article titles
scripts/search "query" 10 | jq -r '.results[].title'

# Get URLs
scripts/search "query" 10 | jq -r '.results[].url'

# Extract full content
scripts/search "query" 10 | jq -r '.results[].content'
```

## Common Use Cases

### Literature Review

```bash
# Find all papers on a topic
scripts/search "mechanisms of aging in humans" 50
```

### Drug Discovery

```bash
# Search for drug targets
scripts/search "novel targets for Alzheimer's disease treatment" 20
```

### Clinical Research

```bash
# Find clinical trial results
scripts/search "phase 3 trials for rheumatoid arthritis biologics" 15
```

### Gene Function

```bash
# Research gene function
scripts/search "role of TP53 in cancer development" 25
```

## 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 PubMed 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="immunotherapy for melanoma",
    included_sources=["valyu/valyu-pubmed"],
    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: "immunotherapy for melanoma",
  includedSources: ["valyu/valyu-pubmed"],
  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.

© yorkeccak · MIT · yorkeccak/scientific-skills

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