google-sheets▌
vm0-ai/vm0-skills · updated Apr 8, 2026
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Use the Google Sheets API via direct curl calls to read, write, and manage spreadsheet data.
Google Sheets API
Use the Google Sheets API via direct curl calls to read, write, and manage spreadsheet data.
Official docs:
https://developers.google.com/sheets/api
When to Use
Use this skill when you need to:
- Read data from Google Sheets
- Write or update cell values
- Append rows to existing sheets
- Create new spreadsheets
- Get spreadsheet metadata (sheet names, properties)
- Batch update multiple ranges at once
Placeholders: Values in
{curly-braces}like{spreadsheet-id}are placeholders. Replace them with actual values when executing.
Important: In range notation, the sheet-name separator
!must be URL encoded as%21in the URL path. For example,Sheet1!A1:D10becomesSheet1%21A1:D10. All examples below use this encoding.
How to Use
Base URL: https://sheets.googleapis.com/v4/spreadsheets
Finding your Spreadsheet ID:
The spreadsheet ID is in the URL: https://docs.google.com/spreadsheets/d/{SPREADSHEET_ID}/edit
1. Get Spreadsheet Metadata
Get information about a spreadsheet (sheets, properties):
curl -s "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" | jq '{title: .properties.title, sheets: [.sheets[].properties | {sheetId, title}]}'
2. Read Cell Values
Read a range of cells:
curl -s "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}/values/Sheet1%21A1:D10" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" | jq '.values'
3. Read Entire Sheet
Read all data from a sheet:
curl -s "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}/values/Sheet1" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" | jq '.values'
4. Write Cell Values
Update a range of cells.
Write to /tmp/gsheets_request.json:
{
"values": [
["Name", "Email", "Status"]
]
}
Then run:
curl -s -X PUT "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}/values/Sheet1%21A1:C1?valueInputOption=USER_ENTERED" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" --header "Content-Type: application/json" -d @/tmp/gsheets_request.json | jq '.updatedCells'
valueInputOption:
RAW: Values are stored as-isUSER_ENTERED: Values are parsed as if typed by user (formulas evaluated)
5. Append Rows
Add new rows to the end of a sheet.
Write to /tmp/gsheets_request.json:
{
"values": [
["John Doe", "[email protected]", "Active"]
]
}
Then run:
curl -s -X POST "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}/values/Sheet1%21A:C:append?valueInputOption=USER_ENTERED&insertDataOption=INSERT_ROWS" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" --header "Content-Type: application/json" -d @/tmp/gsheets_request.json | jq '.updates | {updatedRange, updatedRows}'
6. Batch Read Multiple Ranges
Read multiple ranges in one request:
curl -s "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}/values:batchGet?ranges=Sheet1%21A1:B5&ranges=Sheet1%21D1:E5" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" | jq '.valueRanges'
7. Batch Update Multiple Ranges
Update multiple ranges in one request.
Write to /tmp/gsheets_request.json:
{
"valueInputOption": "USER_ENTERED",
"data": [
{
"range": "Sheet1!A1",
"values": [["Header 1"]]
},
{
"range": "Sheet1!B1",
"values": [["Header 2"]]
}
]
}
Then run:
curl -s -X POST "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}/values:batchUpdate" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" --header "Content-Type: application/json" -d @/tmp/gsheets_request.json | jq '.totalUpdatedCells'
8. Clear Cell Values
Clear a range of cells.
Write to /tmp/gsheets_request.json:
{}
Then run:
curl -s -X POST "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}/values/Sheet1%21A2:C100:clear" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" --header "Content-Type: application/json" -d @/tmp/gsheets_request.json | jq '.clearedRange'
9. Create New Spreadsheet
Write to /tmp/gsheets_request.json:
{
"properties": {
"title": "My New Spreadsheet"
},
"sheets": [
{
"properties": {
"title": "Data"
}
}
]
}
Then run:
curl -s -X POST "https://sheets.googleapis.com/v4/spreadsheets" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" --header "Content-Type: application/json" -d @/tmp/gsheets_request.json | jq '{spreadsheetId, spreadsheetUrl}'
10. Add New Sheet
Add a new sheet to an existing spreadsheet.
Write to /tmp/gsheets_request.json:
{
"requests": [
{
"addSheet": {
"properties": {
"title": "New Sheet"
}
}
}
]
}
Then run:
curl -s -X POST "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}:batchUpdate" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" --header "Content-Type: application/json" -d @/tmp/gsheets_request.json | jq '.replies[0].addSheet.properties'
11. Delete Sheet
Delete a sheet from a spreadsheet (use sheetId from metadata).
Write to /tmp/gsheets_request.json:
{
"requests": [
{
"deleteSheet": {
"sheetId": 123456789
}
}
]
}
Then run:
curl -s -X POST "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}:batchUpdate" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" --header "Content-Type: application/json" -d @/tmp/gsheets_request.json
12. Search for Values
Find cells containing specific text (read all then filter):
curl -s "https://sheets.googleapis.com/v4/spreadsheets/{spreadsheet-id}/values/Sheet1" --header "Authorization: Bearer $GOOGLE_SHEETS_TOKEN" | jq '[.values[] | select(.[0] | ascii_downcase | contains("search_term"))]'
A1 Notation Reference
| Notation | Description |
|---|---|
Sheet1!A1 |
Single cell A1 in Sheet1 |
Sheet1!A1:B2 |
Range from A1 to B2 |
Sheet1!A:A |
Entire column A |
Sheet1!1:1 |
Entire row 1 |
Sheet1!A1:C |
From A1 to end of column C |
'Sheet Name'!A1 |
Sheet names with spaces need quotes |
Guidelines
- Rate limits: Default quota is 300 requests per minute per project
- Use batch operations: Combine multiple reads/writes to reduce API calls
- valueInputOption: Use
USER_ENTEREDfor formulas,RAWfor literal strings - URL encode ranges: The sheet-name separator in ranges must be encoded as
%21in URLs (e.g.,Sheet1%21A1:D10)
How to use google-sheets on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add google-sheets
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches google-sheets from GitHub repository vm0-ai/vm0-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate google-sheets. Access the skill through slash commands (e.g., /google-sheets) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★62 reviews- ★★★★★Neel Chen· Dec 28, 2024
We added google-sheets from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Yuki Li· Dec 20, 2024
google-sheets reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yusuf Flores· Nov 23, 2024
Keeps context tight: google-sheets is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Yusuf Wang· Nov 19, 2024
Solid pick for teams standardizing on skills: google-sheets is focused, and the summary matches what you get after install.
- ★★★★★Aisha Smith· Nov 11, 2024
I recommend google-sheets for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Advait Torres· Nov 7, 2024
We added google-sheets from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Arya Khan· Oct 26, 2024
google-sheets fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Amina Thomas· Oct 14, 2024
google-sheets is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Amina Jackson· Oct 10, 2024
google-sheets has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Arya Sharma· Oct 2, 2024
Useful defaults in google-sheets — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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