Official agent skill

Excel Spreadsheets

by aws-samples in aws-samples/sample-strands-agent-with-agentcore

Create, modify, and manage Excel spreadsheets. An agent skill from aws-samples/sample-strands-agent-with-agentcore.

OfficialMITAuto-check passedDocuments & Office

Install Excel Spreadsheets

skills CLI

$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill excel-spreadsheets -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install aws-samples/sample-strands-agent-with-agentcore excel-spreadsheets --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/chatbot-app/agentcore/skills/excel-spreadsheets .claude/skills/excel-spreadsheets && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "excel-spreadsheets" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/excel-spreadsheets into .claude/skills/excel-spreadsheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "excel-spreadsheets", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/excel-spreadsheets

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill excel-spreadsheets -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aws-samples/sample-strands-agent-with-agentcore excel-spreadsheets --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .agents/skills && cp -r skills-src/chatbot-app/agentcore/skills/excel-spreadsheets .agents/skills/excel-spreadsheets && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "excel-spreadsheets" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/excel-spreadsheets into .agents/skills/excel-spreadsheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "excel-spreadsheets", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill excel-spreadsheets -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aws-samples/sample-strands-agent-with-agentcore excel-spreadsheets --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/chatbot-app/agentcore/skills/excel-spreadsheets .cursor/skills/excel-spreadsheets && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "excel-spreadsheets" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/excel-spreadsheets into .cursor/skills/excel-spreadsheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "excel-spreadsheets", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/aws-samples/sample-strands-agent-with-agentcore.git --path chatbot-app/agentcore/skills/excel-spreadsheets

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill excel-spreadsheets -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aws-samples/sample-strands-agent-with-agentcore excel-spreadsheets --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/chatbot-app/agentcore/skills/excel-spreadsheets .gemini/skills/excel-spreadsheets && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "excel-spreadsheets" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/excel-spreadsheets into .gemini/skills/excel-spreadsheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "excel-spreadsheets", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install aws-samples/sample-strands-agent-with-agentcore excel-spreadsheets

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill excel-spreadsheets -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .github/skills && cp -r skills-src/chatbot-app/agentcore/skills/excel-spreadsheets .github/skills/excel-spreadsheets && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "excel-spreadsheets" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/excel-spreadsheets into .github/skills/excel-spreadsheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "excel-spreadsheets", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill excel-spreadsheets -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aws-samples/sample-strands-agent-with-agentcore excel-spreadsheets --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/chatbot-app/agentcore/skills/excel-spreadsheets .opencode/skills/excel-spreadsheets && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "excel-spreadsheets" agent skill from https://github.com/aws-samples/sample-strands-agent-with-agentcore/tree/main/chatbot-app/agentcore/skills/excel-spreadsheets into .opencode/skills/excel-spreadsheets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "excel-spreadsheets", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: excel-spreadsheets
GitHub stars: 194
Token cost: ~1.8k tokens
SKILL.md length: 618 words
Files: 1
Skills in repo: 24
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Create, modify, and manage Excel spreadsheets. An agent skill from aws-samples/sample-strands-agent-with-agentcore.

Works in 3 steps: Before modifying: call… → After creation/modification: call… → Run tools sequentially (never parallel)…
Tasks that involve Excel spreadsheets
SKILL.md covers When to Use, Workflow, Professional Formatting and Financial Model Color Coding, plus 4 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Excel Spreadsheets is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization. Create, modify, and manage Excel spreadsheets.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Excel spreadsheets. It works with Microsoft Excel. The repository describes itself as: Reference architecture for agentic AI chatbots with Strands Agents and Amazon Bedrock AgentCore. The licence is MIT.

When your agent uses it

Tasks that involve Excel spreadsheets

Example prompts

“/excel-spreadsheets”

Requirements

Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Before modifying: call preview_excel_sheets to check current layout.
After creation/modification: call preview_excel_sheets to verify.
Run tools sequentially (never parallel) to prevent file race conditions.

What it can do on your machine

Read from SKILL.md and the folder at commit 6dd9d13. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Excel Spreadsheets loads about 1.8k tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 618 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~16
When it runs · the whole SKILL.md, loaded when a task matches: ~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aws-samples/sample-strands-agent-with-agentcore at commit 6dd9d13, republished under its MIT licence (© aws-samples). 618 words, ~1,756 tokens.

Download SKILL.mdSave it as .claude/skills/excel-spreadsheets/SKILL.md (or your agent's skills folder).

name: excel-spreadsheets
description: Create, modify, and manage Excel spreadsheets.

Excel Spreadsheets

When to Use

Tool	Use When
`create_excel_spreadsheet`	User asks to create/generate a NEW spreadsheet
`modify_excel_spreadsheet`	User asks to edit/update an EXISTING spreadsheet
`list_my_excel_spreadsheets`	User asks what spreadsheets are available
`read_excel_spreadsheet`	User wants to download or read spreadsheet contents
`preview_excel_sheets`	Check actual sheet appearance when editing

Workflow

Before modifying: call preview_excel_sheets to check current layout.
After creation/modification: call preview_excel_sheets to verify.
Run tools sequentially (never parallel) to prevent file race conditions.

Professional Formatting

Font: Arial for all cells unless an existing template specifies otherwise.
Negative numbers: parentheses format (1,234) — not minus -1,234.
Currency: $#,##0 format. Specify units in headers (e.g., "Revenue ($mm)").
Percentages: 0.0% (one decimal place).
Years: format as text ("2024" not "2,024").
Zeros: display as "-" using a custom number format.

python

# Example: professional number formatting
from openpyxl.styles import numbers
ws['B2'].number_format = '$#,##0'          # Currency
ws['C2'].number_format = '0.0%'            # Percentage
ws['D2'].number_format = '#,##0;(#,##0)'   # Negative in parentheses
ws['E2'].number_format = '@'               # Year as text
ws['F2'].number_format = '#,##0;(#,##0);"-"'  # Zeros as dash

Financial Model Color Coding

When building financial models, apply these conventions:

Color	Hex	Usage
Blue text	`0000FF`	Hardcoded inputs and assumptions
Black text	`000000`	All formulas and calculations
Green text	`008000`	Links pulling from other worksheets
Yellow background	`FFFF00`	Key assumptions needing attention

python

from openpyxl.styles import Font, PatternFill
ws['B2'].font = Font(name='Arial', color='0000FF')       # Blue: input
ws['B3'].font = Font(name='Arial', color='000000')       # Black: formula
ws['B4'].font = Font(name='Arial', color='008000')       # Green: cross-sheet link
ws['B5'].fill = PatternFill('solid', fgColor='FFFF00')   # Yellow bg: key assumption

Images

python

from openpyxl.drawing.image import Image
ws.add_image(Image('file.png'), 'E1')

Code Rules

Workbook is pre-initialized as wb = Workbook(), active sheet as ws = wb.active (create), or loaded as wb (modify). Do NOT include Workbook() or wb.save().
Available libraries: openpyxl, matplotlib, pandas, numpy (seaborn NOT available)
ALWAYS use Excel formulas, NEVER hardcode calculated values.
- Wrong: ws['B10'] = total
- Right: ws['B10'] = '=SUM(B2:B9)'
Place assumptions in separate cells, reference them in formulas (e.g., =B5*(1+$B$6) not =B5*1.05).
Avoid circular references.
Filenames: letters, numbers, hyphens only.

Tool Reference

create_excel_spreadsheet

Create a new Excel spreadsheet using openpyxl code.

Parameter	Type	Required	Description
`python_code`	str	Yes	Python code using openpyxl (see Code Rules above)
`spreadsheet_name`	str	Yes	Filename without extension (letters, numbers, hyphens only)

Example tool_input:

json

{
  "python_code": "ws.title = 'Sales'\nws['A1'] = 'Quarter'\nws['B1'] = 'Revenue'\nfor i, (q, r) in enumerate(zip(['Q1','Q2','Q3','Q4'], [100,150,130,180]), start=2):\n    ws[f'A{i}'] = q\n    ws[f'B{i}'] = r",
  "spreadsheet_name": "quarterly-sales"
}

WARNING: Parameter is spreadsheet_name, NOT filename or name.

modify_excel_spreadsheet

Modify an existing spreadsheet and save with a new name.

Parameter	Type	Required	Description
`source_name`	str	Yes	Existing spreadsheet name (without .xlsx)
`output_name`	str	Yes	New output name (MUST differ from source)
`python_code`	str	Yes	Python code to modify the spreadsheet

Example tool_input:

json

{
  "source_name": "quarterly-sales",
  "output_name": "quarterly-sales-v2",
  "python_code": "ws = wb.active\nws['B6'] = '=SUM(B2:B5)'"
}

list_my_excel_spreadsheets

List all spreadsheets in workspace. No parameters needed.

read_excel_spreadsheet

Retrieve a specific spreadsheet for download.

Parameter	Type	Required
`spreadsheet_name`	str	Yes

preview_excel_sheets

Get sheet screenshots for visual inspection before editing.

Parameter	Type	Required	Description
`spreadsheet_name`	str	Yes	Spreadsheet name without extension
`sheet_names`	list[str]	Yes	Sheet names to preview (empty list `[]` for all sheets)

Show full SKILL.md (235 more words)Show less

UI Guidance (from tools-config)

Sequential Execution Required: Run modification tools sequentially, never in parallel (prevents race conditions on S3 file read/write).

When to Use:

create_excel_spreadsheet: User asks to create/generate a NEW Excel spreadsheet
modify_excel_spreadsheet: User asks to edit/modify/update an EXISTING spreadsheet
list_my_excel_spreadsheets: User asks what spreadsheets are available
read_excel_spreadsheet: User wants to download or read spreadsheet contents
preview_excel_sheets: Check actual sheet appearance when editing

Before Modifying: Always use preview_excel_sheets first to see the current layout.

CRITICAL — Formulas, Not Hardcoded Values:

ALWAYS use Excel formulas. NEVER calculate in Python and hardcode the result.
Wrong: ws['B10'] = total. Right: ws['B10'] = '=SUM(B2:B9)'
Place assumptions in separate cells, reference them in formulas (e.g., =B5*(1+$B$6) not =B5*1.05)
Formulas are auto-recalculated via LibreOffice after save.
Avoid circular references.

Professional Formatting:

Font: Arial for all cells unless existing template specifies otherwise
Negative numbers: parentheses format (1,234) not minus -1,234
Currency: $#,##0 format; specify units in headers ("Revenue ($mm)")
Percentages: 0.0% (one decimal)
Years: format as text ("2024" not "2,024")
Zeros: display as "-" using custom number format

Financial Model Color Coding (when applicable):

Blue text (0,0,255): Hardcoded inputs and assumptions
Black text (0,0,0): All formulas and calculations
Green text (0,128,0): Links pulling from other worksheets
Yellow background (255,255,0): Key assumptions needing attention

Filenames: Letters, numbers, hyphens only (e.g., "Q4-sales.xlsx")

Available Libraries: openpyxl, matplotlib, pandas, numpy (seaborn NOT available)

Images: from openpyxl.drawing.image import Image; ws.add_image(Image('file.png'), 'E1')

QA: Always use preview_excel_sheets after creation to verify appearance.

Files

Just SKILL.md in chatbot-app/agentcore/skills/excel-spreadsheets of aws-samples/sample-strands-agent-with-agentcore.

Open the folder on GitHubat commit 6dd9d13

Compare with similar skills

Excel Spreadsheets next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Excel Spreadsheets compared with similar skills
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MarkitdownImCa0/just-laws	781	14 repos	~3.2k	Automated safety check: Notes	MIT	8 days ago
Docx4jplutext/docx4j	2.4k	—	~2.5k	Automated safety check: Pass	None	yesterday
Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences	274	2 repos	~2.7k	Automated safety check: Pass	Apache-2.0	6 days ago
Cyber Pptcrazyykhllc-bit/CyberPPT	1.8k	—	~10k	Automated safety check: Pass	MIT	2 mo ago
Markitshift-labs-ai/markit	1.3k	—	~299	Automated safety check: Pass	MIT	1 mo ago

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Questions about Excel Spreadsheets

What does Excel Spreadsheets do?

Create, modify, and manage Excel spreadsheets. An agent skill from aws-samples/sample-strands-agent-with-agentcore. Excel Spreadsheets is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization. Create, modify, and manage Excel spreadsheets.

When should I use Excel Spreadsheets?

Excel Spreadsheets fits situations like: tasks that involve Excel spreadsheets.

How do I install Excel Spreadsheets in Claude Code?

Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill excel-spreadsheets -a claude-code`. Or copy the skill folder (chatbot-app/agentcore/skills/excel-spreadsheets in aws-samples/sample-strands-agent-with-agentcore) into .claude/skills/excel-spreadsheets in your project. Claude Code loads it when a task matches its description.

How do I install Excel Spreadsheets in Codex?

Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill excel-spreadsheets -a codex`. Or copy the skill folder (chatbot-app/agentcore/skills/excel-spreadsheets in aws-samples/sample-strands-agent-with-agentcore) into .agents/skills/excel-spreadsheets in your project. Codex loads it when a task matches its description.

Can I use Excel Spreadsheets in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill excel-spreadsheets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/excel-spreadsheets, .gemini/skills/excel-spreadsheets, .github/skills/excel-spreadsheets and .opencode/skills/excel-spreadsheets in your project.

What does Excel Spreadsheets need to run?

SKILL.md names no scripts, command-line tools or credentials: Excel Spreadsheets is instructions for the agent only. Our summary lists: Python 3.

Does Excel Spreadsheets access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Excel Spreadsheets safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Excel Spreadsheets use?

Excel Spreadsheets is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Excel Spreadsheets use?

About 1.8k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Excel Spreadsheets?

Skills that share tags, products or a category with Excel Spreadsheets: Markitdown (ImCa0/just-laws, 781 stars), Docx4j (plutext/docx4j, 2.4k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars) and Cyber Ppt (crazyykhllc-bit/CyberPPT, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Excel Spreadsheets?

aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/sample-strands-agent-with-agentcore, which has 194 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 6, 2026.

Source: aws-samples/sample-strands-agent-with-agentcore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Excel Spreadsheets

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Excel Spreadsheets

When to Use

Workflow

Professional Formatting

Financial Model Color Coding

Images

Code Rules

Tool Reference

create_excel_spreadsheet

modify_excel_spreadsheet

list_my_excel_spreadsheets

read_excel_spreadsheet

preview_excel_sheets

UI Guidance (from tools-config)

Files

Compare with similar skills

Similar skills

More from aws-samples/sample-strands-agent-with-agentcore

Related

Questions about Excel Spreadsheets