literature-search-europepmc — Claude Code skill: Europe PMC paper
Searches Europe PMC for scientific papers, downloads open-access full texts and PDFs, and pulls citation and reference lists.
npx skills add google-deepmind/science-skills --skill literature-search-europepmc -a claude-code
npx skills add google-deepmind/science-skills --skill literature_search_europepmc -a claude-codeWhat literature-search-europepmc does
The skill gives an agent a working route into Europe PMC: lookups by DOI, PMID, author, journal or keyword, PDF downloads by PMCID, full text as plain text or raw JATS XML, plus lists of citing articles and bibliographies. Everything runs through one script, scripts/europepmc_api.py, with the subcommands search, download_pdf, get_fulltext, get_citations and get_references.
The script handles rate limiting at 1 request per second and retries failed calls, so there is no reason to hit the API yourself. Every subcommand needs --output and writes to a file — read that file separately or the responses will flood your context. Searches always carry the OPEN_ACCESS:y filter, and it is not meant to be removed.
You need uv on PATH before the first run, since commands look like uv run scripts/europepmc_api.py. System Python is a dead end here because it may lack the required dependencies. Full text exists only for articles in the PMC Open Access Subset, so when retrieval fails, check the isOpenAccess field with search and fall back to the abstract.
What it helps with
- look up a paper by DOI or PMID and pull its metadata
- download an open-access PDF by PMCID
- get article full text without XML markup
- list papers that cite a given article
- export a paper's bibliography for a review
Example prompts for the agent
- Search Europe PMC for CRISPR cancer papers, sort by citation count and save to results.json
- Download the open-access PDF for PMC8371605 into alphafold.pdf
- Get the full text of PMC8371605 as plain text and list the sources used
How to install literature-search-europepmc
1Skills CLI (Vercel)
npx skills add google-deepmind/science-skills --skill literature-search-europepmc -a claude-codenpx skills add google-deepmind/science-skills --skill literature_search_europepmc -a claude-code2Manually: put the files in place
~/.claude/skills/literature_search_europepmc/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/literature_search_europepmc/
1Skills CLI (Vercel)
npx skills add google-deepmind/science-skills --skill literature_search_europepmc -a codex2Manually: put the files in place
.agents/skills/literature_search_europepmc/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add google-deepmind/science-skills --skill literature_search_europepmc -a cursor2Manually: put the files in place
.cursor/skills/literature_search_europepmc/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install google-deepmind/science-skills literature_search_europepmc2Manually: put the files in place
.github/skills/literature_search_europepmc/SKILL.md1Skills CLI (Vercel)
npx skills add google-deepmind/science-skills --skill literature_search_europepmc -a gemini-cli2Platform CLI
gemini skills install https://github.com/google-deepmind/science-skills --path skills/literature_search_europepmcManually: put the files in place
.devin/skills/literature_search_europepmc/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add google-deepmind/science-skills --skill literature_search_europepmc -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about literature-search-europepmc
How do I install literature-search-europepmc in Claude?
Run npx skills add google-deepmind/science-skills --skill literature-search-europepmc -a claude-code. The skill lands at ~/.claude/skills/literature_search_europepmc/SKILL.md.
What does literature-search-europepmc do?
It searches open-access papers in Europe PMC, downloads PDFs and full texts by PMCID, and retrieves citations and reference lists through scripts/europepmc_api.py.
What do I need before using the skill?
uv installed and on PATH, and commands run as uv run scripts/europepmc_api.py. Calling python3 directly is off the table because system Python may miss the dependencies.
Source text
SKILL.md · Apache-2.0
---
name: literature-search-europepmc
description: >
Search Europe PMC for scientific literature and download open-access full
texts and PDFs. Retrieve full-text XML/plain text by PMCID, get citation
lists and bibliography.
---
# Europe PMC Database
A skill for searching, downloading, and exploring open-access papers from
[Europe PMC](https://europepmc.org/) — a comprehensive, free life-science
literature database with over 43 million abstracts and 9 million full-text
articles.
## Prerequisites
1. **`uv`**: Read the `uv` skill and follow its Setup instructions to ensure
`uv` is installed and on PATH.
2. **User Notification**: If .licenses/literature_search_europepmc_LICENSE.txt
does not already exist in the workspace root directory then (1) prominently
notify the user to check the terms at https://europepmc.org/ and to always
check the license of the papers retrieved by the skill for any restrictions,
then (2) create the file recording the notification text and timestamp.
## Core Rules
- **Open Access Only**: This skill exclusively searches open-access content.
The script automatically appends `OPEN_ACCESS:y` to every search query. Do
NOT remove or override this filter.
- **NEVER run python3 or python3 -c directly**: the system Python does not
necessarily have all key dependencies. Do not attempt to pip install or
create new venvs.
- **Use the Wrapper**: ALWAYS use the provided script rather than calling the
API directly. The script handles rate limiting (1 req/s) and errors.
- **Output Files**: All subcommands require `--output` to write results to a
file. Read the output file separately to avoid context overflow.
- **List Sources.** If this skill is used, ensure this is mentioned in the
output AND list the URLs of all papers that were used in producing the
output.
## Utility Scripts
All commands are subcommands of `scripts/europepmc_api.py`. Rate limiting and
retries are handled automatically.
### 1. Search (`search`)
Search Europe PMC by query. Supports DOI lookup, keyword search, author search,
PMID lookup, and the full
[Europe PMC search syntax](https://europepmc.org/searchsyntax).
```bash
# Look up a paper by DOI
uv run scripts/europepmc_api.py search "DOI:10.1038/s41586-021-03819-2" --output result.json
# Keyword search
uv run scripts/europepmc_api.py search "CRISPR cancer" --max_results 5 --output results.json
# Author search
uv run scripts/europepmc_api.py search "AUTH:Jumper J" --max_results 10 --output results.json
# PMID lookup
uv run scripts/europepmc_api.py search "EXT_ID:34265844 AND SRC:MED" --output result.json
# Sorted by citations
uv run scripts/europepmc_api.py search "machine learning" \
--sort "CITED desc" --max_results 20 --output results.json
```
**Arguments:**
- `query` (str, required) — search query using Europe PMC syntax
- `--output` (str, required) — output JSON file path
- `--max_results` (int, default 10) — maximum results per page (max 1000)
- `--result_type` (str, default `core`) — `core` (full metadata) or `lite`
- `--cursor` (str, default `*`) — cursor mark for pagination; pass the
`nextCursorMark` value from a previous response to get the next page
- `--sort` (str) — sort order, e.g. `CITED desc`, `P_PDATE_D desc`
(publication date descending), `P_PDATE_D asc`
**Output:** JSON file with three fields:
- `hitCount` (int) — total number of matching articles
- `nextCursorMark` (str) — cursor for next page; empty string if no more pages
- `results` (list) — array of article metadata objects
**Search Syntax Quick Reference:**
- `DOI:10.xxxx/yyyy` — look up by DOI
- `EXT_ID:12345678 AND SRC:MED` — look up by PMID
- `AUTH:surname initials` — author search
- `TITLE:keyword` — search in title only
- `JOURNAL:name` — search by journal
- `PUB_YEAR:2024` or `(FIRST_PDATE:[2023-01-01 TO 2023-12-31])` — date filter
- `HAS_FT:y` — restrict to articles with full text in Europe PMC
- Boolean operators: `AND`, `OR`, `NOT`
> **Note**: `OPEN_ACCESS:y` is automatically appended to all queries. You do not
> need to add it manually.
### 2. Download PDF (`download_pdf`)
Download an open-access PDF from Europe PMC by PMCID.
```bash
uv run scripts/europepmc_api.py download_pdf PMC8371605 --output alphafold.pdf
```
**Arguments:**
- `pmcid` (str, required) — PubMed Central ID (e.g., `PMC8371605`)
- `--output` (str, required) — filepath to save the PDF
**Output:** Saves the PDF to the specified file. Exits with an error if the
PMCID is not found or the response is not a valid PDF. Whenever you download a
PDF, check the pdf downloaded is not empty or corrupted.
### 3. Get Full Text (`get_fulltext`)
Retrieve the full text of an open-access article and save to a file. Returns
plain text (XML tags stripped) by default, or raw XML with `--format xml`.
```bash
# Get plain text (default)
uv run scripts/europepmc_api.py get_fulltext PMC8371605 --output fulltext.txt
# Get raw XML
uv run scripts/europepmc_api.py get_fulltext PMC8371605 --format xml --output fulltext.xml
```
**Arguments:**
- `pmcid` (str, required) — PubMed Central ID
- `--output` (str, required) — output file path
- `--format` (str, default `text`) — `text` (plain text) or `xml` (raw JATS
XML)
**Output:** Full text written to the specified file. Exits with an error if the
article is not in the Europe PMC open-access subset.
> **Important**: Only articles in the PMC Open Access Subset have full text
> available. If retrieval fails, use `search` to check the `isOpenAccess` field
> and fall back to the abstract.
### 4. Get Citations (`get_citations`)
Retrieve articles that cite a given paper.
```bash
# Get citations for the AlphaFold paper (PMID 34265844)
uv run scripts/europepmc_api.py get_citations MED 34265844 \
--page_size 25 --output citations.json
```
**Arguments:**
- `source` (str, required) — source database: `MED` (PubMed), `PMC`, `PPR`
(preprints), `PAT` (patents)
- `article_id` (str, required) — article ID in the source database
- `--output` (str, required) — output JSON file path
- `--page` (int, default 1) — page number
- `--page_size` (int, default 25) — results per page
**Output:** JSON file with `hitCount` and `citations` array.
### 5. Get References (`get_references`)
Retrieve the reference list (bibliography) of a given paper.
```bash
# Get references from the AlphaFold paper
uv run scripts/europepmc_api.py get_references MED 34265844 \
--page_size 100 --output references.json
```
**Arguments:**
- `source` (str, required) — source database: `MED`, `PMC`, `PPR`, `PAT`
- `article_id` (str, required) — article ID in the source database
- `--output` (str, required) — output JSON file path
- `--page` (int, default 1) — page number
- `--page_size` (int, default 25) — results per page
**Output:** JSON file with `hitCount` and `references` array.
## Common Workflows
### DOI to PDF
```bash
# Step 1: Search for the PMCID
uv run scripts/europepmc_api.py search "DOI:10.1038/s41586-021-03819-2" --output result.json
PMCID=$(jq -r '.results[0].pmcid // empty' result.json)
# Step 2: Download the PDF
uv run scripts/europepmc_api.py download_pdf "$PMCID" --output paper.pdf
```
### PMID to Full Text
```bash
# Step 1: Find the PMCID from a PMID
uv run scripts/europepmc_api.py search "EXT_ID:34265844 AND SRC:MED" --output result.json
PMCID=$(jq -r '.results[0].pmcid // empty' result.json)
# Step 2: Get the full text
uv run scripts/europepmc_api.py get_fulltext "$PMCID" --output fulltext.txt
```
### Citation Graph Traversal
```bash
# Find what papers cite a landmark study, then check their references
uv run scripts/europepmc_api.py get_citations MED 34265844 --page_size 50 --output citing.json
# Parse a cited paper's PMID and explore its references
uv run scripts/europepmc_api.py get_references MED <CITING_PMID> --output refs.json
```
### Search with Pagination
```bash
# First page
uv run scripts/europepmc_api.py search "CRISPR" --max_results 100 --output page1.json
# Extract cursor for next page
CURSOR=$(jq -r '.nextCursorMark // empty' page1.json)
# Next page
uv run scripts/europepmc_api.py search "CRISPR" --max_results 100 --cursor "$CURSOR" --output page2.json
```
© google-deepmind · Apache-2.0 · google-deepmind/science-skills