# Sylvian Excel Agent

> Use this tool when you need to automate spreadsheet tasks or integrate Excel file modification into business applications through conversational interfaces. The Sylvian Excel Agent solves problems related to data analysis workflows, cell manipulation, and formula management by providing natural language instructions for Excel operations. It accepts natural language inputs and outputs modified Excel files, making it ideal for use cases where users require complex spreadsheet operations like conditional formatting and pivot tables.

Canonical page: https://skillsregistry.net/skills/sylvianai-excel-agent  
JSON: https://api.skillsregistry.net/v1/skills/sylvianai-excel-agent

## Description

Excel Agent provides spreadsheet manipulation through natural language instructions, built on openpyxl and the Model Context Protocol. The implementation features a comprehensive MCP server exposing Excel operations as tools, including cell manipulation, formula management, formatting, data validation, and workbook operations. It includes evaluation capabilities against SpreadsheetBench datasets, demo applications (web interface and Slack bot), and supports complex operations like conditional formatting and pivot tables. The agent maintains session state for multi-step workflows and provides detailed error handling, making it suitable for automating spreadsheet tasks, data analysis workflows, and integration into business applications where users need to modify Excel files through conversational interfaces.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sylvianai-excel-agent)
- **Repository:** <https://github.com/sylvianai/sv-excel-agent>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sylvianai-excel-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sylvianai-excel-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sylvianai-excel-agent/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt