Googlesheets Automation V3

Google Sheets Automation via Rube MCP

Overview

This public intake copy packages plugins/antigravity-bundle-automation-builder/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

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.

1. Verify Rube MCP is available by confirming RUBESEARCHTOOLS responds
2. Call RUBEMANAGECONNECTIONS with toolkit googlesheets
3. If connection is not ACTIVE, follow the returned auth link to complete Google OAuth
4. Confirm connection status shows ACTIVE before running any workflows
5. GOOGLESHEETSSEARCHSPREADSHEETS - Find spreadsheet by name if ID unknown [Prerequisite]
6. GOOGLESHEETSGETSHEET_NAMES - Enumerate tab names to target the right sheet [Prerequisite]
7. 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.

1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
2. Call RUBE_MANAGE_CONNECTIONS with toolkit googlesheets
3. If connection is not ACTIVE, follow the returned auth link to complete Google OAuth
4. 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:

1. GOOGLESHEETS_SEARCH_SPREADSHEETS - Find spreadsheet by name if ID unknown [Prerequisite]
2. GOOGLESHEETS_GET_SHEET_NAMES - Enumerate tab names to target the right sheet [Prerequisite]
3. GOOGLESHEETS_BATCH_GET - Read data from one or more ranges [Required]
4. GOOGLESHEETS_BATCH_UPDATE - Write data to a range or append rows [Required]
5. GOOGLESHEETS_VALUES_UPDATE - Update a single specific range [Alternative]
6. 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:

1. GOOGLESHEETS_CREATE_GOOGLE_SHEET1 - Create a new spreadsheet [Required]
2. GOOGLESHEETS_ADD_SHEET - Add a new tab/worksheet [Required]
3. GOOGLESHEETS_UPDATE_SHEET_PROPERTIES - Rename, hide, reorder, or color tabs [Optional]
4. GOOGLESHEETS_GET_SPREADSHEET_INFO - Get full spreadsheet metadata [Optional]
5. 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:

1. GOOGLESHEETS_LOOKUP_SPREADSHEET_ROW - Find first row matching exact cell value [Required]
2. GOOGLESHEETS_SET_BASIC_FILTER - Apply filter/sort to a range [Alternative]
3. GOOGLESHEETS_CLEAR_BASIC_FILTER - Remove existing filter [Optional]
4. GOOGLESHEETS_BATCH_GET - Read filtered results [Optional]

Key parameters:

• query: Exact text value to match (matches entire cell content)
• range: A1 notation range to search within
• case_sensitive: Boolean for case-sensitive matching (default false)
• filter.range: Grid range with sheet_id for basic filter
• filter.criteria: Column-based filter conditions
• filter.sortSpecs: Sort specifications

Pitfalls:

• GOOGLESHEETS_LOOKUP_SPREADSHEET_ROW matches entire cell content, not substrings
• Sheet names with spaces must be single-quoted in ranges (e.g., "'My Sheet'!A:Z")
• Bare sheet names without ranges are not supported for lookup; always specify a range

4. Upsert Rows by Key

When to use: User wants to update existing rows or insert new ones based on a unique key column

Tool sequence:

1. GOOGLESHEETS_UPSERT_ROWS - Update matching rows or append new ones [Required]

Key parameters:

• spreadsheetId: Target spreadsheet ID
• sheetName: Tab name
• keyColumn: Column header name used as unique identifier (e.g., 'Email', 'SKU')
• headers: List of column names for the data
• rows: 2D array of data rows
• strictMode: Error on mismatched column counts (default true)

Pitfalls:

• keyColumn must be an actual header name, NOT a column letter (e.g., 'Email' not 'A')
• If headers is NOT provided, first row of rows is treated as headers
• With strictMode=true, rows with more values than headers cause an error
• Auto-adds missing columns to the sheet

5. Format Cells

When to use: User wants to apply formatting (bold, colors, font size) to cells

Tool sequence:

1. GOOGLESHEETS_GET_SPREADSHEET_INFO - Get numeric sheetId for target tab [Prerequisite]
2. GOOGLESHEETS_FORMAT_CELL - Apply formatting to a range [Required]
3. GOOGLESHEETS_UPDATE_SHEET_PROPERTIES - Change frozen rows, column widths [Optional]

Key parameters:

• spreadsheet_id: Spreadsheet ID
• worksheet_id: Numeric sheetId (NOT tab name); get from GET_SPREADSHEET_INFO
• range: A1 notation (e.g., 'A1:F1') - preferred over index fields
• bold, italic, underline, strikethrough: Boolean formatting options
• 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-v3 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-v3 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-v3 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-v3 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-bundle-automation-builder/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

• @agent-evaluation-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @ai-agents-architect-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @airtable-automation-v3 - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @architecture-decision-records-v3 - 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.

Imported Reference Notes

Imported: Quick Reference

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.