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Gs Export

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cookjohn
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.

Overview

Publishercookjohn
Repositorygs-skills
Skill namegs-export
Stars
529
Forks
26
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cookjohn on GitHub. Read the source before you install it.

Installation

Install the Gs Export AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/cookjohn/gs-skills/tree/master/skills/gs-export
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/cookjohn/gs-skills.git /tmp/gs-skills
mkdir -p .claude/skills
cp -r /tmp/gs-skills/skills/gs-export .claude/skills/gs-export
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gs Export in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gs Export on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gs Export is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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)
javascript
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)
javascript
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:

bash
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:

json
[
  {
    "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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gs Export AI skill do?

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.

Why use Gs Export on TypingMind?

Because you install it once and use it with any model. Gs Export is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gs Export in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cookjohn/gs-skills/tree/master/skills/gs-export. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gs Export?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gs Export?

As many as you like. As long as a model supports skills, you can use Gs Export with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gs Export AI skill free?

Yes. It is published on GitHub by cookjohn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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