Google Sheets Automation via Rube MCP workflow skill. Use this skill when the user needs Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
Instrucciones de origen · Vista previa de solo lectura
name
googlesheets-automation
description
Google Sheets Automation via Rube MCP workflow skill. Use this skill when the user needs Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/googlesheets-automation from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.
Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.
This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.
Google Sheets Automation via Rube MCP Automate Google Sheets workflows including reading/writing data, managing spreadsheets and tabs, formatting cells, filtering rows, and upserting records through Composio's Google Sheets toolkit.
Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Prerequisites, Common Patterns, Known Pitfalls, Limitations.
When to Use This Skill
Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.
This skill is applicable to execute the workflow or actions described in the overview.
Use when the request clearly matches the imported source intent: Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically.
Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
Use when provenance needs to stay visible in the answer, PR, or review packet.
Use when copied upstream references, examples, or scripts materially improve the answer.
Use when the workflow should remain reviewable in the public intake repo before the private enhancer takes over.
Operating Table
Situation
Start here
Why it matters
First-time use
metadata.json
Confirms repository, branch, commit, and imported path through the external_source block before touching the copied workflow
Provenance review
ORIGIN.md
Gives reviewers a plain-language audit trail for the imported source
Workflow execution
SKILL.md
Starts with the smallest copied file that materially changes execution
Supporting context
SKILL.md
Adds the next most relevant copied source file without loading the entire package
Handoff decision
## Related Skills
Helps the operator switch to a stronger native skill when the task drifts
Workflow
This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.
Verify Rube MCP is available by confirming RUBESEARCHTOOLS responds
Call RUBEMANAGECONNECTIONS with toolkit googlesheets
If connection is not ACTIVE, follow the returned auth link to complete Google OAuth
Confirm connection status shows ACTIVE before running any workflows
GOOGLESHEETSSEARCHSPREADSHEETS - Find spreadsheet by name if ID unknown [Prerequisite]
GOOGLESHEETSGETSHEET_NAMES - Enumerate tab names to target the right sheet [Prerequisite]
GOOGLESHEETSBATCHGET - Read data from one or more ranges [Required]
Imported Workflow Notes
Imported: Setup
Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
Call RUBE_MANAGE_CONNECTIONS with toolkit googlesheets
If connection is not ACTIVE, follow the returned auth link to complete Google OAuth
Confirm connection status shows ACTIVE before running any workflows
Imported: Core Workflows
1. Read and Write Data
When to use: User wants to read data from or write data to a Google Sheet
Tool sequence:
GOOGLESHEETS_SEARCH_SPREADSHEETS - Find spreadsheet by name if ID unknown [Prerequisite]
GOOGLESHEETS_GET_SHEET_NAMES - Enumerate tab names to target the right sheet [Prerequisite]
GOOGLESHEETS_BATCH_GET - Read data from one or more ranges [Required]
GOOGLESHEETS_BATCH_UPDATE - Write data to a range or append rows [Required]
GOOGLESHEETS_VALUES_UPDATE - Update a single specific range [Alternative]
GOOGLESHEETS_SPREADSHEETS_VALUES_APPEND - Append rows to end of table [Alternative]
Key parameters:
spreadsheet_id: Alphanumeric ID from the spreadsheet URL (between '/d/' and '/edit')
ranges: A1 notation array (e.g., 'Sheet1!A1:Z1000'); always use bounded ranges
sheet_name: Tab name (case-insensitive matching supported)
values: 2D array where each inner array is a row
first_cell_location: Starting cell in A1 notation (omit to append)
valueInputOption: 'USER_ENTERED' (parsed) or 'RAW' (literal)
Pitfalls:
Mis-cased or non-existent tab names error "Sheet 'X' not found"
Empty ranges may omit valueRanges[i].values; treat missing as empty array
GOOGLESHEETS_BATCH_UPDATE values must be a 2D array (list of lists), even for a single row
Unbounded ranges like 'A:Z' on sheets with >10,000 rows may cause timeouts; always bound with row limits
Append follows the detected tableRange; use returned updatedRange to verify placement
2. Create and Manage Spreadsheets
When to use: User wants to create a new spreadsheet or manage tabs within one
Tool sequence:
GOOGLESHEETS_CREATE_GOOGLE_SHEET1 - Create a new spreadsheet [Required]
GOOGLESHEETS_ADD_SHEET - Add a new tab/worksheet [Required]
GOOGLESHEETS_UPDATE_SHEET_PROPERTIES - Rename, hide, reorder, or color tabs [Optional]
GOOGLESHEETS_GET_SPREADSHEET_INFO - Get full spreadsheet metadata [Optional]
GOOGLESHEETS_FIND_WORKSHEET_BY_TITLE - Check if a specific tab exists [Optional]
Key parameters:
title: Spreadsheet or sheet tab name
spreadsheetId: Target spreadsheet ID
forceUnique: Auto-append suffix if tab name exists (default true)
properties.gridProperties: Set row/column counts, frozen rows
Pitfalls:
Sheet names must be unique within a spreadsheet
Default sheet names are locale-dependent ('Sheet1' in English, 'Hoja 1' in Spanish)
Don't use index when creating multiple sheets in parallel (causes 'index too high' errors)
GOOGLESHEETS_GET_SPREADSHEET_INFO can return 403 if account lacks access
3. Search and Filter Rows
When to use: User wants to find specific rows or apply filters to sheet data
Tool sequence:
GOOGLESHEETS_LOOKUP_SPREADSHEET_ROW - Find first row matching exact cell value [Required]
GOOGLESHEETS_SET_BASIC_FILTER - Apply filter/sort to a range [Alternative]
red, green, blue: Background color as 0.0-1.0 floats (NOT 0-255 ints)
fontSize: Font size in points
Pitfalls:
Requires numeric worksheet_id, not tab title; get from spreadsheet metadata
Color channels are 0-1 floats (e.g., 1.0 for full red), NOT 0-255 integers
Responses may return empty reply objects ([{}]); verify formatting via readback
Format one range per call; batch formatting requires separate calls
Imported: Prerequisites
Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
Active Google Sheets connection via RUBE_MANAGE_CONNECTIONS with toolkit googlesheets
Always call RUBE_SEARCH_TOOLS first to get current tool schemas
Examples
Example 1: Ask for the upstream workflow directly
Use @googlesheets-automation to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.
Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.
Example 2: Ask for a provenance-grounded review
Review @googlesheets-automation against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.
Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.
Example 3: Narrow the copied support files before execution
Use @googlesheets-automation for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.
Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.
Example 4: Build a reviewer packet
Review @googlesheets-automation using the copied upstream files plus provenance, then summarize any gaps before merge.
Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.
Best Practices
Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.
Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.
Keep provenance, source commit, and imported file paths visible in notes and PR descriptions.
Point directly at the copied upstream files that justify the workflow instead of relying on generic review boilerplate.
Treat generated examples as scaffolding; adapt them to the concrete task before execution.
Route to a stronger native skill when architecture, debugging, design, or security concerns become dominant.
Troubleshooting
Problem: The operator skipped the imported context and answered too generically
Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/googlesheets-automation, fails to mention provenance, or does not use any copied source files at all.
Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.
Problem: The imported workflow feels incomplete during review
Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task.
Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.
Problem: The task drifted into a different specialization
Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better.
Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.
Related Skills
@00-andruia-consultant - Use when the work is better handled by that native specialization after this imported skill establishes context.
@00-andruia-consultant-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith - Use when the work is better handled by that native specialization after this imported skill establishes context.
@10-andruia-skill-smith-v2 - Use when the work is better handled by that native specialization after this imported skill establishes context.
Additional Resources
Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.
Resource family
What it gives the reviewer
Example path
references
copied reference notes, guides, or background material from upstream
references/n/a
examples
worked examples or reusable prompts copied from upstream
examples/n/a
scripts
upstream helper scripts that change execution or validation
scripts/n/a
agents
routing or delegation notes that are genuinely part of the imported package
agents/n/a
assets
supporting assets or schemas copied from the source package
assets/n/a
Imported Reference Notes
Imported: Quick Reference
Task
Tool Slug
Key Params
Search spreadsheets
GOOGLESHEETS_SEARCH_SPREADSHEETS
query, search_type
Create spreadsheet
GOOGLESHEETS_CREATE_GOOGLE_SHEET1
title
List tabs
GOOGLESHEETS_GET_SHEET_NAMES
spreadsheet_id
Add tab
GOOGLESHEETS_ADD_SHEET
spreadsheetId, title
Read data
GOOGLESHEETS_BATCH_GET
spreadsheet_id, ranges
Read single range
GOOGLESHEETS_VALUES_GET
spreadsheet_id, range
Write data
GOOGLESHEETS_BATCH_UPDATE
spreadsheet_id, sheet_name, values
Update range
GOOGLESHEETS_VALUES_UPDATE
spreadsheet_id, range, values
Append rows
GOOGLESHEETS_SPREADSHEETS_VALUES_APPEND
spreadsheetId, range, values
Upsert rows
GOOGLESHEETS_UPSERT_ROWS
spreadsheetId, sheetName, keyColumn, rows
Lookup row
GOOGLESHEETS_LOOKUP_SPREADSHEET_ROW
spreadsheet_id, query
Format cells
GOOGLESHEETS_FORMAT_CELL
spreadsheet_id, worksheet_id, range
Set filter
GOOGLESHEETS_SET_BASIC_FILTER
spreadsheetId, filter
Clear values
GOOGLESHEETS_CLEAR_VALUES
spreadsheet_id, range
Delete rows/cols
GOOGLESHEETS_DELETE_DIMENSION
spreadsheet_id, sheet_name, dimension
Spreadsheet info
GOOGLESHEETS_GET_SPREADSHEET_INFO
spreadsheet_id
Update tab props
GOOGLESHEETS_UPDATE_SHEET_PROPERTIES
spreadsheetId, properties
Imported: Common Patterns
ID Resolution
Spreadsheet name -> ID: GOOGLESHEETS_SEARCH_SPREADSHEETS with query
Tab name -> sheetId: GOOGLESHEETS_GET_SPREADSHEET_INFO, extract from sheets metadata
Tab existence check: GOOGLESHEETS_FIND_WORKSHEET_BY_TITLE
Rate Limits
Google Sheets enforces strict rate limits:
Max 60 reads/minute and 60 writes/minute
Exceeding limits causes errors; batch operations where possible
Use GOOGLESHEETS_BATCH_GET and GOOGLESHEETS_BATCH_UPDATE for efficiency
Data Patterns
Always read before writing to understand existing layout
Use GOOGLESHEETS_UPSERT_ROWS for CRM syncs, inventory updates, and dedup scenarios
Append mode (omit first_cell_location) is safest for adding new records
Use GOOGLESHEETS_CLEAR_VALUES to clear content while preserving formatting
Imported: Known Pitfalls
Tab names: Locale-dependent defaults; 'Sheet1' may not exist in non-English accounts
Range notation: Sheet names with spaces need single quotes in A1 notation
Unbounded ranges: Can timeout on large sheets; always specify row bounds (e.g., 'A1:Z10000')
2D arrays: All value parameters must be list-of-lists, even for single rows
Color values: Floats 0.0-1.0, not integers 0-255
Formatting IDs: FORMAT_CELL needs numeric sheetId, not tab title
Rate limits: 60 reads/min and 60 writes/min; batch to stay within limits
Delete dimension: GOOGLESHEETS_DELETE_DIMENSION is irreversible; double-check bounds
Imported: Limitations
Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
