pubmed-api
Search biomedical literature and retrieve records via PubMed E-utilities
Best use case
pubmed-api is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search biomedical literature and retrieve records via PubMed E-utilities
Teams using pubmed-api 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/pubmed-api/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How pubmed-api Compares
| Feature / Agent | pubmed-api | 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 biomedical literature and retrieve records via PubMed E-utilities
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
# PubMed E-utilities API Guide ## Overview PubMed is the premier biomedical literature database maintained by the National Center for Biotechnology Information (NCBI) at the US National Library of Medicine. It indexes over 36 million citations and abstracts from MEDLINE, life science journals, and online books. The Entrez Programming Utilities (E-utilities) provide programmatic access to the entire PubMed database and other NCBI databases. E-utilities consist of a suite of server-side programs that accept URL-based requests and return structured data. These tools are essential for biomedical researchers, systematic reviewers, and developers building health informatics applications. The API supports complex search queries using MeSH (Medical Subject Headings) terms, boolean operators, and field-specific searches. The API is free and does not require authentication for basic usage. Registering for an NCBI API key raises the rate limit from 3 to 10 requests per second, which is recommended for any automated workflow. ## Authentication No authentication required for basic usage (3 requests/second). For higher rate limits (10 requests/second), register for a free API key at https://www.ncbi.nlm.nih.gov/account/ and include it in requests: ``` &api_key=YOUR_API_KEY ``` Including `tool` and `email` parameters in requests helps NCBI contact you if there are issues with your application. ## Core Endpoints ### ESearch: Search and Retrieve PMIDs - **URL**: `GET https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi` - **Parameters**: | Param | Type | Required | Description | |-------|------|----------|-------------| | db | string | Yes | Database name (e.g., pubmed, pmc) | | term | string | Yes | Search query (supports boolean operators and field tags) | | retmax | integer | No | Maximum number of IDs returned (default: 20, max: 10000) | | retstart | integer | No | Index of first ID to retrieve (for pagination) | | retmode | string | No | Response format: xml (default) or json | | sort | string | No | Sort order: relevance, pub_date, author, journal | | datetype | string | No | Date type for range filter: pdat, mdat, edat | | mindate | string | No | Start date (YYYY/MM/DD) | | maxdate | string | No | End date (YYYY/MM/DD) | | usehistory | string | No | Set to "y" to store results on server for subsequent retrieval | - **Example**: ```bash curl "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=CRISPR+AND+cancer[Title]&retmax=10&retmode=json&sort=pub_date" ``` - **Response**: JSON/XML with `esearchresult` containing `count` (total hits), `idlist` (array of PMIDs), and optionally `webenv` and `querykey` for history server. ### EFetch: Retrieve Full Records - **URL**: `GET https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi` - **Parameters**: | Param | Type | Required | Description | |-------|------|----------|-------------| | db | string | Yes | Database name | | id | string | Yes | Comma-separated list of PMIDs (or use WebEnv/query_key) | | rettype | string | No | Return type: abstract, medline, full, xml | | retmode | string | No | Format: xml, text | | WebEnv | string | No | Web environment from ESearch with usehistory=y | | query_key | string | No | Query key from ESearch | - **Example**: ```bash curl "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=33116299,34735795&rettype=abstract&retmode=xml" ``` - **Response**: XML with complete PubMed records including `MedlineCitation` with `Article` (title, abstract, authors, journal), `MeSHHeadingList`, and `PubmedData` (DOI, publication status). ### ESummary: Retrieve Document Summaries - **URL**: `GET https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi` - **Parameters**: | Param | Type | Required | Description | |-------|------|----------|-------------| | db | string | Yes | Database name | | id | string | Yes | Comma-separated PMIDs | | retmode | string | No | Response format: xml or json | | version | string | No | Set to "2.0" for enhanced XML format | - **Example**: ```bash curl "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=pubmed&id=33116299&retmode=json&version=2.0" ``` - **Response**: JSON with document summary including `uid`, `title`, `authors`, `source` (journal), `pubdate`, `doi`, and `pmcid`. ## Rate Limits Without API key: 3 requests per second. With API key: 10 requests per second. Exceeding limits results in temporary IP blocking. For large-scale data mining, use the NCBI FTP site for bulk downloads. Always include a delay of at least 334ms (or 100ms with API key) between requests. Weekend and evening hours (US Eastern time) are less congested. ## Common Patterns ### Systematic Literature Search Perform a structured search using MeSH terms and field qualifiers: ```bash # Search for clinical trials on diabetes treatment from the last 2 years curl "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=diabetes[MeSH]+AND+treatment[Title]+AND+clinical+trial[Publication+Type]&mindate=2024/01/01&maxdate=2026/03/09&datetype=pdat&retmax=100&retmode=json" ``` ### Pipeline: Search then Fetch Use the history server to efficiently search and then retrieve records: ```bash # Step 1: Search and store results curl "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=machine+learning+AND+radiology&retmax=0&usehistory=y&retmode=json" # Step 2: Fetch records using WebEnv and query_key from step 1 curl "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&WebEnv=WEBENV_VALUE&query_key=1&retmax=50&rettype=abstract&retmode=xml" ``` ### Retrieve Structured Metadata for Citation Management Get JSON summaries for a batch of known PMIDs: ```bash curl "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esummary.fcgi?db=pubmed&id=33116299,34735795,35363452&retmode=json&version=2.0" ``` ## References - Official documentation: https://www.ncbi.nlm.nih.gov/books/NBK25501/ - E-utilities quick start: https://www.ncbi.nlm.nih.gov/books/NBK25500/ - PubMed search help: https://pubmed.ncbi.nlm.nih.gov/help/
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