Atlas / Skills / composiohq / Excel Automation

Excel AutomationSAFE

skills/composiohq/excel-automation

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
—
Stars
76,829
01

Overview

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

Read from source at commit 661fa6b4bb7bOBSERVED · 2026-10-11
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: Excel Automation
description: "Excel Automation: create workbooks, manage worksheets, read/write cell data, and format spreadsheets via Microsoft Excel and Google Sheets integration"
requires:
  mcp: [rube]
---

# Excel Automation

Automate spreadsheet operations including creating workbooks, writing data, formatting cells, upserting rows, and managing worksheets. Works with Microsoft Excel (OneDrive) and Google Sheets.

**Toolkit docs:** [composio.dev/toolkits/excel](https://composio.dev/toolkits/excel)

---

## Setup

This skill requires the **Rube MCP server** connected at `https://rube.app/mcp`.

Before executing any tools, ensure an active connection exists for the `excel` (and optionally `googlesheets`) toolkit. If no connection is active, initiate one via `RUBE_MANAGE_CONNECTIONS`.

---

## Core Workflows

### 1. Create a New Excel Workbook

Use `EXCEL_CREATE_WORKBOOK` to generate a new `.xlsx` file and upload it to OneDrive.

**Tool:** `EXCEL_CREATE_WORKBOOK`

**Steps:**
1. Call `EXCEL_CREATE_WORKBOOK` with worksheet names and data
2. The tool creates a `.xlsx` file and uploads it to OneDrive
3. Use the returned file path/URL for subsequent operations

---

### 2. Write Data to a Spreadsheet

Use `GOOGLESHEETS_BATCH_UPDATE` to write values to a specific range or append rows.

**Tool:** `GOOGLESHEETS_BATCH_UPDATE`

**Key Parameters:**
- `spreadsheet_id` (required) -- The spreadsheet ID from the URL (44-char alphanumeric string)
- `sheet_name` (required) -- Tab name, e.g., `"Sheet1"`, `"Sales Data"`
- `values` (required) -- 2D array of cell values, e.g., `[["Name","Amount"],["Alice",100]]`
- `first_cell_location` -- Starting cell in A1 notation (e.g., `"A1"`, `"D3"`). Omit to append rows
- `valueInputOption` -- `"USER_ENTERED"` (default, parses formulas) or `"RAW"` (stores as-is)

**Example:**
```
Tool: GOOGLESHEETS_BATCH_UPDATE
Arguments:
  spreadsheet_id: "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms"
  sheet_name: "Sheet1"
  values: [["Item","Cost","Stocked"],["Wheel",20.50,true],["Screw",0.50,true]]
  first_cell_location: "A1"
```

---

### 3. Upsert Rows by Key Column

Use `GOOGLESHEETS_UPSERT_ROWS` to update existing rows by matching a key column, or append new rows if no match is found. Ideal for CRM syncs, inventory updates, and deduplication.

**Tool:** `GOOGLESHEETS_UPSERT_ROWS`

**Key Parameters:**
- `spreadsheetId` (required) -- The spreadsheet ID
- `sheetName` (required) -- Tab name
- `rows` (required) -- 2D array of data rows (min 1 row). If `headers` is omitted, the first row is treated as headers
- `headers` -- Column names for the data, e.g., `["Email","Phone","Status"]`
- `keyColumn` -- Column header to match on, e.g., `"Email"`, `"SKU"`, `"Lead ID"`
- `strictMode` -- `true` (default) errors on mismatched columns; `false` truncates silently

**Example:**
```
Tool: GOOGLESHEETS_UPSERT_ROWS
Arguments:
  spreadsheetId: "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms"
  sheetName: "Contacts"
  keyColumn: "Email"
  headers: ["Email","Phone","Status"]
  rows: [["[email protected]","555-0101","Active"],["[email protected]","555-0102","Pending"]]
```

---

### 4. Format Cells

Use `GOOGLESHEETS_FORMAT_CELL` to apply bold, italic, font size, and background colors to ranges.

**Tool:** `GOOGLESHEETS_FORMAT_CELL`

**Key Parameters:**
- `spreadsheet_id` (required) -- The spreadsheet ID
- `range` -- Cell range in A1 notation, e.g., `"A1:D1"`, `"B2:B10"` (recommended over index-based)
- `sheet_name` -- Worksheet name, e.g., `"Sheet1"`
- `bold` -- `true`/`false`
- `italic` -- `true`/`false`
- `fontSize` -- Font size in points, e.g., `12`
- `red`, `green`, `blue` -- Background color components (0.0--1.0 float scale, NOT 0--255)

**Example (bold header row with blue background):**
```
Tool: GOOGLESHEETS_FORMAT_CELL
Arguments:
  spreadsheet_id: "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms"
  range: "A1:D1"
  sheet_name: "Sheet1"
  bold: true
  fontSize: 12
  red: 0.2
  green: 0.4
  blue: 0.9
```

---

### 5. Add New Worksheet Tabs

Use `GOOGLESHEETS_ADD_SHEET` to create new tabs within an existing spreadsheet.

**Tool:** `GOOGLESHEETS_ADD_SHEET`

**Key Parameters:**
- `spreadsheetId` (required) -- The spreadsheet ID
- `title` -- Name for the new tab, e.g., `"Q4 Report"`
- `forceUnique` -- `true` (default) auto-appends suffix if name exists

**Example:**
```
Tool: GOOGLESHEETS_ADD_SHEET
Arguments:
  spreadsheetId: "1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms"
  title: "Q4 Report"
  forceUnique: true
```

---

### 6. Read Data and Verify Content

Use `GOOGLESHEETS_BATCH_GET` to retrieve data from specified cell ranges for validation or further processing.

**Tool:** `GOOGLESHEETS_BATCH_GET`

**Steps:**
1. Call `GOOGLESHEETS_BATCH_GET` with the spreadsheet ID and target ranges
2. Validate headers and data alignment
3. Use results to inform subsequent write or update operations

**Supporting Tools:**
- `GOOGLESHEETS_GET_SHEET_NAMES` -- List all tab names in a spreadsheet
- `GOOGLESHEETS_GET_SPREADSHEET_INFO` -- Get metadata (sheet IDs, properties)
- `GOOGLESHEETS_FIND_WORKSHEET_BY_TITLE` -- Check if a specific tab exists

---

## Recommended Execution Plan

1. **Create or locate the spreadsheet** using `GOOGLESHEETS_CREATE_GOOGLE_SHEET1` or reuse an existing `spreadsheetId`
2. **Confirm the destination tab** using `GOOGLESHEETS_GET_SHEET_NAMES` or `GOOGLESHEETS_FIND_WORKSHEET_BY_TITLE`; create it with `GOOGLESHEETS_ADD_SHEET` if missing
3. **Read existing headers** (optional) using `GOOGLESHEETS_BATCH_GET` to align columns
4. **Write or upsert data** using `GOOGLESHEETS_BATCH_UPDATE` or `GOOGLESHEETS_UPSERT_ROWS`
5. **Apply formatting** (optional) using `GOOGLESHEETS_FORMAT_CELL`
6. **Verify results** (optional) using `GOOGLESHEETS_BATCH_GET`
7. **Fallback:** If Google Sheets creation is blocked (HTTP 403), use `EXCEL_CREATE_WORKBOOK` for local `.xlsx` output

---

## Known Pitfalls

| Pitfall | Detail |
|---------|--------|
| **HTTP 403 on sheet creation** | `GOOGLESHEETS_CREA
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-11 · audit v0.4.1 · source sha 661fa6b4bb7bfull audit observations/trust-audit/skill/composiohq__excel-automation.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-11661fa6b4bb7bSAFEB89first audit
05

Questions

What does the Excel Automation skill do?

A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

Is Excel Automation safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Excel Automation access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (661fa6b4bb7b), read on 2026-10-11. The repository is watched, and a new audit runs when it changes — this is the first audit.

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