/gs-export
Export Google Scholar paper(s) to Zotero via BibTeX. Gets citation data from Google Scholar's cite dialog, then pushes to Zotero desktop. Supports single or batch export.
$ npx -y skills add cookjohn/gs-skills --skill gs-export --agent claude-codeHow it fires
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- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
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- Slash command
/gs-export
Context preview
The summary Claude sees to decide when to auto-load this skill.
Export Google Scholar paper(s) to Zotero via BibTeX. Gets citation data from Google Scholar's cite dialog, then pushes to Zotero desktop. Supports single or batch export.
SKILL.md
gs-export.SKILL.mdname: gs-export
description: Export Google Scholar paper(s) to Zotero via BibTeX. Gets citation data from Google Scholar's cite dialog, then pushes to Zotero desktop. Supports single or batch export.
argument-hint: "[data-cid or space-separated data-cids]"
Google Scholar Export to Zotero
Export Google Scholar paper citation data via BibTeX extraction and push to Zotero desktop.
Arguments
$ARGUMENTS contains one or more data-cids (space-separated), e.g.:
- `TFS2GgoGiNUJ` — single paper
- `TFS2GgoGiNUJ abc123XYZ def456UVW` — batch export
Steps
Step 1: Get BibTeX for each paper
For each data-cid, perform 3 tool calls to bypass CORS:
1a. Fetch cite dialog to get BibTeX link (evaluate_script)
async () => {
const cid = "DATA_CID_HERE";
const resp = await fetch(
`https://scholar.google.com/scholar?q=info:${cid}:scholar.google.com/&output=cite`,
{ credentials: 'include' }
);
const html = await resp.text();
const doc = new DOMParser().parseFromString(html, 'text/html');
// Extract export links
const links = Array.from(doc.querySelectorAll('#gs_citi a')).map(a => ({
format: a.textContent.trim(),
url: a.href
}));
// Extract citation format texts
const citations = Array.from(doc.querySelectorAll('#gs_citt tr')).map(tr => {
const cells = tr.querySelectorAll('td');
return {
style: cells[0]?.textContent?.trim() || '',
text: cells[1]?.textContent?.trim() || ''
};
});
const bibtexLink = links.find(l => l.format === 'BibTeX');
return { cid, bibtexLink: bibtexLink?.url || '', links, citations };
}1b. Navigate to BibTeX URL (navigate_page)
Use `mcp__chrome-devtools__navigate_page`:
- url: the `bibtexLink` URL from step 1a (on `scholar.googleusercontent.com`)
This bypasses CORS restrictions that block fetch() to googleusercontent.com.
1c. Read BibTeX content (evaluate_script)
async () => {
return { bibtex: document.body.innerText || document.body.textContent || '' };
}Step 2: Parse BibTeX and push to Zotero
Save the BibTeX data as JSON, then call the push script:
python "E:/gscholar-skills/.claude/skills/gs-export/scripts/push_to_zotero.py" /tmp/gs_papers.json
Before calling the script, construct a JSON file at `/tmp/gs_papers.json` containing paper data parsed from BibTeX. Parse the BibTeX yourself and create the JSON array:
[
{
"pmid": "",
"title": "The title from BibTeX",
"authors": [
{"lastName": "Smith", "firstName": "John"}
],
"journal": "Journal Name",
"journalAbbr": "",
"pubdate": "2022",
"volume": "14",
"issue": "4",
"pages": "1054",
"doi": "",
"pdfUrl": "https://example.com/paper.pdf",
"abstract": "",
"keywords": [],
"language": "en",
"pubtype": ["Journal Article"]
}
]**IMPORTANT**: Set `pdfUrl` from the search result's `fullTextUrl` field (the PDF link extracted by gs-search). The Python script will download the PDF and upload it to Zotero via `/connector/saveAttachment` (Zotero 7.x ignores attachments in saveItems). PDF download may fail for some publishers (403, JS-redirect); these are reported as "PDF skip".
BibTeX fields mapping:
- `@article{key,` → `itemType: journalArticle`
- `@inproceedings{key,` → `itemType: conferencePaper`
- `@book{key,` → `itemType: book`
- `title={...}` → `title`
- `author={Last1, First1 and Last2, First2}` → `authors` array
- `journal={...}` → `journal`
- `year={...}` → `pubdate`
- `volume={...}` → `volume`
- `number={...}` → `issue`
- `pages={...}` → `pages`
- `publisher={...}` → (included in extra or publisher field)
Step 3: Report
Single paper:
Exported to Zotero from Google Scholar:
Title: {title}
Authors: {authors}
Journal: {journal} ({year})
Data-CID: {dataCid}Batch:
Exported {count} papers to Zotero from Google Scholar:
1. {title1} ({journal1}, {year1})
2. {title2} ({journal2}, {year2})
...Batch Export Optimization
For multiple papers, process sequentially to avoid CAPTCHA: 1. Get all BibTeX links in one evaluate_script call (fetch all cite dialogs) 2. Navigate to each BibTeX URL one at a time 3. Collect all BibTeX entries 4. Push all to Zotero in a single batch
Notes
- Single paper export uses 3-4 tool calls: `evaluate_script` (cite dialog) + `navigate_page` (BibTeX URL) + `evaluate_script` (read BibTeX) + `bash python` (Zotero push)
- Batch export: 2N+1 tool calls (N papers: N navigate + N evaluate + 1 bash)
- BibTeX links are on `scholar.googleusercontent.com` — CORS blocks fetch(), so we use navigate_page to bypass
- Reuses `push_to_zotero.py` for Zotero Connector API communication
- Google Scholar BibTeX does NOT include abstract or DOI — these fields will be empty in Zotero
- After export, navigate back to Google Scholar page: `navigate_page` with type `back`
Read more
name: gs-export description: Export Google Scholar paper(s) to Zotero via BibTeX. Gets citation data from Google Scholar's cite dialog, then pushes to Zotero desktop. Supports single or batch export. argument-hint: "[data-cid or space-separated data-cids]"
Google Scholar Export to Zotero
Export Google Scholar paper citation data via BibTeX extraction and push to Zotero desktop.
Arguments
$ARGUMENTS contains one or more data-cids (space-separated), e.g.:
- `TFS2GgoGiNUJ` — single paper
- `TFS2GgoGiNUJ abc123XYZ def456UVW` — batch export
Steps
Step 1: Get BibTeX for each paper
For each data-cid, perform 3 tool calls to bypass CORS:
1a. Fetch cite dialog to get BibTeX link (evaluate_script)
async () => {
const cid = "DATA_CID_HERE";
const resp = await fetch(
`https://scholar.google.com/scholar?q=info:${cid}:scholar.google.com/&output=cite`,
{ credentials: 'include' }
);
const html = await resp.text();
const doc = new DOMParser().parseFromString(html, 'text/html');
// Extract export links
const links = Array.from(doc.querySelectorAll('#gs_citi a')).map(a => ({
format: a.textContent.trim(),
url: a.href
}));
// Extract citation format texts
const citations = Array.from(doc.querySelectorAll('#gs_citt tr')).map(tr => {
const cells = tr.querySelectorAll('td');
return {
style: cells[0]?.textContent?.trim() || '',
text: cells[1]?.textContent?.trim() || ''
};
});
const bibtexLink = links.find(l => l.format === 'BibTeX');
return { cid, bibtexLink: bibtexLink?.url || '', links, citations };
}1b. Navigate to BibTeX URL (navigate_page)
Use `mcp__chrome-devtools__navigate_page`:
- url: the `bibtexLink` URL from step 1a (on `scholar.googleusercontent.com`)
This bypasses CORS restrictions that block fetch() to googleusercontent.com.
1c. Read BibTeX content (evaluate_script)
async () => {
return { bibtex: document.body.innerText || document.body.textContent || '' };
}Step 2: Parse BibTeX and push to Zotero
Save the BibTeX data as JSON, then call the push script:
python "E:/gscholar-skills/.claude/skills/gs-export/scripts/push_to_zotero.py" /tmp/gs_papers.json
Before calling the script, construct a JSON file at `/tmp/gs_papers.json` containing paper data parsed from BibTeX. Parse the BibTeX yourself and create the JSON array:
[
{
"pmid": "",
"title": "The title from BibTeX",
"authors": [
{"lastName": "Smith", "firstName": "John"}
],
"journal": "Journal Name",
"journalAbbr": "",
"pubdate": "2022",
"volume": "14",
"issue": "4",
"pages": "1054",
"doi": "",
"pdfUrl": "https://example.com/paper.pdf",
"abstract": "",
"keywords": [],
"language": "en",
"pubtype": ["Journal Article"]
}
]**IMPORTANT**: Set `pdfUrl` from the search result's `fullTextUrl` field (the PDF link extracted by gs-search). The Python script will download the PDF and upload it to Zotero via `/connector/saveAttachment` (Zotero 7.x ignores attachments in saveItems). PDF download may fail for some publishers (403, JS-redirect); these are reported as "PDF skip".
BibTeX fields mapping:
- `@article{key,` → `itemType: journalArticle`
- `@inproceedings{key,` → `itemType: conferencePaper`
- `@book{key,` → `itemType: book`
- `title={...}` → `title`
- `author={Last1, First1 and Last2, First2}` → `authors` array
- `journal={...}` → `journal`
- `year={...}` → `pubdate`
- `volume={...}` → `volume`
- `number={...}` → `issue`
- `pages={...}` → `pages`
- `publisher={...}` → (included in extra or publisher field)
Step 3: Report
Single paper:
Exported to Zotero from Google Scholar:
Title: {title}
Authors: {authors}
Journal: {journal} ({year})
Data-CID: {dataCid}Batch:
Exported {count} papers to Zotero from Google Scholar:
1. {title1} ({journal1}, {year1})
2. {title2} ({journal2}, {year2})
...Batch Export Optimization
For multiple papers, process sequentially to avoid CAPTCHA: 1. Get all BibTeX links in one evaluate_script call (fetch all cite dialogs) 2. Navigate to each BibTeX URL one at a time 3. Collect all BibTeX entries 4. Push all to Zotero in a single batch
Notes
- Single paper export uses 3-4 tool calls: `evaluate_script` (cite dialog) + `navigate_page` (BibTeX URL) + `evaluate_script` (read BibTeX) + `bash python` (Zotero push)
- Batch export: 2N+1 tool calls (N papers: N navigate + N evaluate + 1 bash)
- BibTeX links are on `scholar.googleusercontent.com` — CORS blocks fetch(), so we use navigate_page to bypass
- Reuses `push_to_zotero.py` for Zotero Connector API communication
- Google Scholar BibTeX does NOT include abstract or DOI — these fields will be empty in Zotero
- After export, navigate back to Google Scholar page: `navigate_page` with type `back`
Google Scholar skills for Claude Code — search, citation tracking, full-text access, and Zotero export via Chrome DevTools MCP
Repo: cookjohn/gs-skills
Other skills on gs-skills.
- /gs-advanced-search
Perform advanced Google Scholar search with filters - author, journal, date range, exact phrase, title-only. Constructs proper URL parameters from natural language. Use for precise filtered searches.
Open skill - /gs-cited-by
Find papers that cite a given Google Scholar paper. Tracks citation chains using data-cid (cluster ID). Use when user wants to see who cited a specific paper.
Open skill - /gs-fulltext
Get full-text access links for a Google Scholar paper - PDF, DOI, Sci-Hub, and publisher links. Use when user wants to read or download a paper's full text.
Open skill - /gs-navigate-pages
Navigate Google Scholar search result pages. Use when user wants to see more results or go to a specific page.
Open skill - /gs-search
Search Google Scholar for academic papers by keywords. Returns results with title, authors, journal, year, citation count, and full-text links. Use when the user wants to search Google Scholar.
Open skill

